docs: add VitePress documentation site
- 22 content pages across Guide, Concepts, and Reference sections - Custom indigo/cyan theme with Lucide icons and Mermaid diagrams - GitHub Actions workflow for GitHub Pages deployment - Live preview: https://mempalace-docs.netlify.app/
This commit is contained in:
Igor Lins e Silva
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name: Deploy Docs
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on:
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push:
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branches: [main]
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paths:
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- 'website/**'
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workflow_dispatch:
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permissions:
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contents: read
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pages: write
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id-token: write
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concurrency:
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group: pages
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cancel-in-progress: false
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- uses: oven-sh/setup-bun@v2
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with:
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bun-version: latest
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- name: Install dependencies
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working-directory: website
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run: bun install
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- name: Build docs
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working-directory: website
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run: bun run docs:build
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- uses: actions/upload-pages-artifact@v3
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with:
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path: website/.vitepress/dist
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deploy:
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environment:
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name: github-pages
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url: ${{ steps.deployment.outputs.page_url }}
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needs: build
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runs-on: ubuntu-latest
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steps:
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- name: Deploy to GitHub Pages
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id: deployment
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uses: actions/deploy-pages@v4
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# dependencies (bun install)
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node_modules
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# output
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out
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dist
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.vitepress/dist
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.vitepress/.temp
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*.tgz
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# code coverage
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coverage
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*.lcov
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# logs
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logs
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*.log
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report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
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# dotenv environment variable files
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.env
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.env.development.local
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.env.test.local
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.env.production.local
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.env.local
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# caches
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.eslintcache
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.cache
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*.tsbuildinfo
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# IntelliJ based IDEs
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.idea
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# Finder (MacOS) folder config
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.DS_Store
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import { defineConfig } from 'vitepress'
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import { withMermaid } from 'vitepress-plugin-mermaid'
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const docsBase = process.env.DOCS_BASE || '/mempalace/'
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export default withMermaid(
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defineConfig({
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title: 'MemPalace',
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description: 'Give your AI a memory. Local-first storage and retrieval for AI workflows, with benchmark results and MCP tooling.',
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base: docsBase,
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head: [
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['link', { rel: 'icon', href: `${docsBase}mempalace_logo.png` }],
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['link', { rel: 'preconnect', href: 'https://fonts.googleapis.com' }],
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['link', { rel: 'preconnect', href: 'https://fonts.gstatic.com', crossorigin: '' }],
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['link', { href: 'https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap', rel: 'stylesheet' }],
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['meta', { property: 'og:title', content: 'MemPalace — AI Memory System' }],
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['meta', { property: 'og:description', content: '96.6% LongMemEval recall. Zero API calls. Local, free, open source.' }],
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['meta', { property: 'og:image', content: `${docsBase}mempalace_logo.png` }],
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],
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themeConfig: {
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logo: '/mempalace_logo.png',
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siteTitle: 'MemPalace',
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nav: [
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{ text: 'Guide', link: '/guide/getting-started' },
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{ text: 'Concepts', link: '/concepts/the-palace' },
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{ text: 'Reference', link: '/reference/cli' },
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],
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sidebar: {
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'/guide/': [
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{
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text: 'Guide',
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items: [
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{ text: 'Getting Started', link: '/guide/getting-started' },
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{ text: 'Mining Your Data', link: '/guide/mining' },
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{ text: 'Searching Memories', link: '/guide/searching' },
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{ text: 'MCP Integration', link: '/guide/mcp-integration' },
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{ text: 'Claude Code Plugin', link: '/guide/claude-code' },
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{ text: 'Gemini CLI', link: '/guide/gemini-cli' },
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{ text: 'Local Models', link: '/guide/local-models' },
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{ text: 'Auto-Save Hooks', link: '/guide/hooks' },
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{ text: 'Configuration', link: '/guide/configuration' },
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],
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},
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],
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'/concepts/': [
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{
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text: 'Concepts',
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items: [
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{ text: 'The Palace', link: '/concepts/the-palace' },
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{ text: 'Memory Stack', link: '/concepts/memory-stack' },
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{ text: 'AAAK Dialect', link: '/concepts/aaak-dialect' },
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{ text: 'Knowledge Graph', link: '/concepts/knowledge-graph' },
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{ text: 'Specialist Agents', link: '/concepts/agents' },
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{ text: 'Contradiction Detection', link: '/concepts/contradiction-detection' },
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],
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},
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],
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'/reference/': [
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{
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text: 'Reference',
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items: [
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{ text: 'CLI Commands', link: '/reference/cli' },
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{ text: 'MCP Tools', link: '/reference/mcp-tools' },
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{ text: 'Python API', link: '/reference/python-api' },
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{ text: 'API Reference', link: '/reference/api-reference' },
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{ text: 'Module Map', link: '/reference/modules' },
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{ text: 'Benchmarks', link: '/reference/benchmarks' },
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{ text: 'Contributing', link: '/reference/contributing' },
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],
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},
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],
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},
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socialLinks: [
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{ icon: 'github', link: 'https://github.com/milla-jovovich/mempalace' },
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{ icon: 'discord', link: 'https://discord.com/invite/ycTQQCu6kn' },
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],
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search: {
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provider: 'local',
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},
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footer: {
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message: 'Released under the MIT License.',
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copyright: 'Copyright © 2026 MemPalace contributors',
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},
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editLink: {
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pattern: 'https://github.com/milla-jovovich/mempalace/edit/main/website/:path',
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text: 'Edit this page on GitHub',
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},
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},
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mermaid: {
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theme: 'dark',
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},
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})
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)
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import DefaultTheme from 'vitepress/theme'
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import './style.css'
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export default {
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extends: DefaultTheme,
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}
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/* ── MemPalace Custom Theme ──────────────────────────────────────────── */
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/* Deep indigo / cyan palette — evoking architectural grandeur */
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:root {
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/* Brand palette */
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--mp-indigo: #4f46e5;
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--mp-indigo-light: #6366f1;
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--mp-indigo-dark: #3730a3;
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--mp-cyan: #06b6d4;
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--mp-cyan-light: #22d3ee;
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--mp-purple: #8b5cf6;
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--mp-purple-light: #a78bfa;
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--mp-emerald: #10b981;
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--mp-amber: #f59e0b;
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/* VitePress overrides */
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--vp-c-brand-1: var(--mp-indigo);
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--vp-c-brand-2: var(--mp-indigo-light);
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--vp-c-brand-3: var(--mp-purple);
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--vp-c-brand-soft: rgba(79, 70, 229, 0.14);
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--vp-font-family-base: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
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--vp-font-family-mono: 'JetBrains Mono', 'Fira Code', monospace;
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/* Home hero gradient */
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--vp-home-hero-name-color: transparent;
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--vp-home-hero-name-background: linear-gradient(135deg, var(--mp-indigo) 0%, var(--mp-cyan) 50%, var(--mp-purple) 100%);
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--vp-home-hero-image-background-image: linear-gradient(135deg, rgba(79, 70, 229, 0.25) 0%, rgba(6, 182, 212, 0.25) 50%, rgba(139, 92, 246, 0.15) 100%);
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--vp-home-hero-image-filter: blur(56px);
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/* Button colors */
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--vp-button-brand-border: transparent;
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--vp-button-brand-text: #ffffff;
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--vp-button-brand-bg: var(--mp-indigo);
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--vp-button-brand-hover-border: transparent;
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--vp-button-brand-hover-text: #ffffff;
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--vp-button-brand-hover-bg: var(--mp-indigo-light);
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--vp-button-alt-border: rgba(79, 70, 229, 0.25);
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--vp-button-alt-text: var(--mp-indigo);
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--vp-button-alt-bg: rgba(79, 70, 229, 0.08);
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--vp-button-alt-hover-border: rgba(79, 70, 229, 0.4);
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--vp-button-alt-hover-text: var(--mp-indigo-dark);
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--vp-button-alt-hover-bg: rgba(79, 70, 229, 0.14);
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}
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/* Dark mode overrides */
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.dark {
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--vp-c-brand-1: var(--mp-cyan-light);
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--vp-c-brand-2: var(--mp-cyan);
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--vp-c-brand-3: var(--mp-purple-light);
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--vp-c-brand-soft: rgba(6, 182, 212, 0.14);
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--vp-button-brand-bg: var(--mp-indigo-light);
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--vp-button-brand-hover-bg: var(--mp-indigo);
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--vp-button-alt-border: rgba(34, 211, 238, 0.25);
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--vp-button-alt-text: var(--mp-cyan-light);
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--vp-button-alt-bg: rgba(34, 211, 238, 0.08);
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--vp-button-alt-hover-border: rgba(34, 211, 238, 0.4);
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--vp-button-alt-hover-text: var(--mp-cyan);
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--vp-button-alt-hover-bg: rgba(34, 211, 238, 0.14);
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--vp-home-hero-image-background-image: linear-gradient(135deg, rgba(99, 102, 241, 0.3) 0%, rgba(6, 182, 212, 0.3) 50%, rgba(139, 92, 246, 0.2) 100%);
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}
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/* ── Hero section ───────────────────────────────────────────────────── */
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.VPHero .VPImage {
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max-width: 180px;
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border-radius: 20px;
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}
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.VPHero .name {
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font-weight: 700 !important;
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}
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.VPHero .text {
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font-weight: 500;
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background: linear-gradient(135deg, var(--vp-c-text-1) 0%, var(--mp-indigo-light) 100%);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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background-clip: text;
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}
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.dark .VPHero .text {
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background: linear-gradient(135deg, var(--vp-c-text-1) 0%, var(--mp-cyan-light) 100%);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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background-clip: text;
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}
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/* ── Feature cards ──────────────────────────────────────────────────── */
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.VPFeature {
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transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
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border: 1px solid var(--vp-c-divider);
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}
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.VPFeature:hover {
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transform: translateY(-4px);
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border-color: var(--mp-indigo);
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box-shadow: 0 12px 40px rgba(79, 70, 229, 0.12);
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}
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.dark .VPFeature:hover {
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border-color: var(--mp-cyan);
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box-shadow: 0 12px 40px rgba(6, 182, 212, 0.12);
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}
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.VPFeature .title {
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font-weight: 600;
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}
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/* ── Sidebar ────────────────────────────────────────────────────────── */
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.VPSidebar .VPSidebarItem .text {
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transition: color 0.2s ease;
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}
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.VPSidebar .VPSidebarItem.is-active .text {
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color: var(--mp-indigo) !important;
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||||||
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font-weight: 600;
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||||||
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}
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||||||
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.dark .VPSidebar .VPSidebarItem.is-active .text {
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color: var(--mp-cyan-light) !important;
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||||||
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}
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||||||
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||||||
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/* ── Code blocks ────────────────────────────────────────────────────── */
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||||||
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.vp-doc div[class*='language-'] {
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||||||
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border: 1px solid var(--vp-c-divider);
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||||||
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border-radius: 8px;
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||||||
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}
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||||||
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.dark .vp-doc div[class*='language-'] {
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||||||
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border-color: rgba(6, 182, 212, 0.15);
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||||||
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}
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||||||
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/* ── Custom containers ──────────────────────────────────────────────── */
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||||||
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|
||||||
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.vp-doc .custom-block.tip {
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||||||
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border-color: var(--mp-cyan);
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||||||
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}
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||||||
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||||||
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.vp-doc .custom-block.warning {
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||||||
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border-color: var(--mp-amber);
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||||||
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}
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||||||
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|
||||||
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.vp-doc .custom-block.info {
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||||||
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border-color: var(--mp-indigo);
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||||||
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}
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||||||
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||||||
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/* ── Tables ─────────────────────────────────────────────────────────── */
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||||||
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||||||
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.vp-doc table {
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||||||
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border-radius: 8px;
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||||||
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overflow: hidden;
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||||||
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}
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||||||
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||||||
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.vp-doc th {
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||||||
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background: rgba(79, 70, 229, 0.06);
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||||||
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font-weight: 600;
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||||||
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}
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||||||
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|
||||||
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.dark .vp-doc th {
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||||||
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background: rgba(6, 182, 212, 0.08);
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||||||
|
}
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||||||
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|
||||||
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/* ── Nav ────────────────────────────────────────────────────────────── */
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||||||
|
|
||||||
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.VPNavBar .VPNavBarTitle .title {
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||||||
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font-weight: 700;
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||||||
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letter-spacing: -0.01em;
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||||||
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}
|
||||||
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|
||||||
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/* ── Footer ─────────────────────────────────────────────────────────── */
|
||||||
|
|
||||||
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.VPFooter {
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||||||
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border-top: 1px solid var(--vp-c-divider);
|
||||||
|
}
|
||||||
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|
||||||
|
/* ── Scrollbar ──────────────────────────────────────────────────────── */
|
||||||
|
|
||||||
|
::-webkit-scrollbar {
|
||||||
|
width: 6px;
|
||||||
|
}
|
||||||
|
|
||||||
|
::-webkit-scrollbar-thumb {
|
||||||
|
background: var(--vp-c-divider);
|
||||||
|
border-radius: 3px;
|
||||||
|
}
|
||||||
|
|
||||||
|
::-webkit-scrollbar-thumb:hover {
|
||||||
|
background: var(--mp-indigo);
|
||||||
|
}
|
||||||
|
|
||||||
|
.dark ::-webkit-scrollbar-thumb:hover {
|
||||||
|
background: var(--mp-cyan);
|
||||||
|
}
|
||||||
|
|
||||||
|
/* ── Smooth transitions ─────────────────────────────────────────────── */
|
||||||
|
|
||||||
|
a, .VPLink {
|
||||||
|
transition: color 0.2s ease;
|
||||||
|
}
|
||||||
|
|
||||||
|
.VPButton {
|
||||||
|
transition: all 0.25s cubic-bezier(0.4, 0, 0.2, 1);
|
||||||
|
}
|
||||||
|
|
||||||
|
.VPButton:hover {
|
||||||
|
transform: translateY(-1px);
|
||||||
|
}
|
||||||
@@ -0,0 +1,633 @@
|
|||||||
|
{
|
||||||
|
"lockfileVersion": 1,
|
||||||
|
"configVersion": 1,
|
||||||
|
"workspaces": {
|
||||||
|
"": {
|
||||||
|
"name": "website",
|
||||||
|
"devDependencies": {
|
||||||
|
"@lucide/vue": "^1.8.0",
|
||||||
|
"mermaid": "^11.14.0",
|
||||||
|
"vitepress": "^1.6.4",
|
||||||
|
"vitepress-plugin-mermaid": "^2.0.17",
|
||||||
|
"vue": "^3.5.32",
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
"packages": {
|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
|
||||||
|
"@algolia/autocomplete-plugin-algolia-insights": ["@algolia/autocomplete-plugin-algolia-insights@1.17.7", "", { "dependencies": { "@algolia/autocomplete-shared": "1.17.7" }, "peerDependencies": { "search-insights": ">= 1 < 3" } }, "sha512-Jca5Ude6yUOuyzjnz57og7Et3aXjbwCSDf/8onLHSQgw1qW3ALl9mrMWaXb5FmPVkV3EtkD2F/+NkT6VHyPu9A=="],
|
||||||
|
|
||||||
|
"@algolia/autocomplete-preset-algolia": ["@algolia/autocomplete-preset-algolia@1.17.7", "", { "dependencies": { "@algolia/autocomplete-shared": "1.17.7" }, "peerDependencies": { "@algolia/client-search": ">= 4.9.1 < 6", "algoliasearch": ">= 4.9.1 < 6" } }, "sha512-ggOQ950+nwbWROq2MOCIL71RE0DdQZsceqrg32UqnhDz8FlO9rL8ONHNsI2R1MH0tkgVIDKI/D0sMiUchsFdWA=="],
|
||||||
|
|
||||||
|
"@algolia/autocomplete-shared": ["@algolia/autocomplete-shared@1.17.7", "", { "peerDependencies": { "@algolia/client-search": ">= 4.9.1 < 6", "algoliasearch": ">= 4.9.1 < 6" } }, "sha512-o/1Vurr42U/qskRSuhBH+VKxMvkkUVTLU6WZQr+L5lGZZLYWyhdzWjW0iGXY7EkwRTjBqvN2EsR81yCTGV/kmg=="],
|
||||||
|
|
||||||
|
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|
||||||
|
|
||||||
|
"@algolia/client-analytics": ["@algolia/client-analytics@5.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1", "@algolia/requester-browser-xhr": "5.50.1", "@algolia/requester-fetch": "5.50.1", "@algolia/requester-node-http": "5.50.1" } }, "sha512-i+aWHHG8NZvGFHtPeMZkxL2Loc6Fm7iaRo15lYSMx8gFL+at9vgdWxhka7mD1fqxkrxXsQstUBCIsSY8FvkEOw=="],
|
||||||
|
|
||||||
|
"@algolia/client-common": ["@algolia/client-common@5.50.1", "", {}, "sha512-Hw52Fwapyk/7hMSV/fI4+s3H9MGZEUcRh4VphyXLAk2oLYdndVUkc6KBi0zwHSzwPAr+ZBwFPe2x6naUt9mZGw=="],
|
||||||
|
|
||||||
|
"@algolia/client-insights": ["@algolia/client-insights@5.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1", "@algolia/requester-browser-xhr": "5.50.1", "@algolia/requester-fetch": "5.50.1", "@algolia/requester-node-http": "5.50.1" } }, "sha512-Bn/wtwhJ7p1OD/6pY+Zzn+zlu2N/SJnH46md/PAbvqIzmjVuwjNwD4y0vV5Ov8naeukXdd7UU9v550+v8+mtlg=="],
|
||||||
|
|
||||||
|
"@algolia/client-personalization": ["@algolia/client-personalization@5.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1", "@algolia/requester-browser-xhr": "5.50.1", "@algolia/requester-fetch": "5.50.1", "@algolia/requester-node-http": "5.50.1" } }, "sha512-0V4Tu0RWR8YxkgI9EPVOZHGE4K5pEIhkLNN0CTkP/rnPsqaaSQpNMYW3/mGWdiKOWbX0iVmwLB9QESk3H0jS5g=="],
|
||||||
|
|
||||||
|
"@algolia/client-query-suggestions": ["@algolia/client-query-suggestions@5.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1", "@algolia/requester-browser-xhr": "5.50.1", "@algolia/requester-fetch": "5.50.1", "@algolia/requester-node-http": "5.50.1" } }, "sha512-jofcWNYMXJDDr87Z2eivlWY6o71Zn7F7aOvQCXSDAo9QTlyf7BhXEsZymLUvF0O1yU9Q9wvrjAWn8uVHYnAvgw=="],
|
||||||
|
|
||||||
|
"@algolia/client-search": ["@algolia/client-search@5.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1", "@algolia/requester-browser-xhr": "5.50.1", "@algolia/requester-fetch": "5.50.1", "@algolia/requester-node-http": "5.50.1" } }, "sha512-OteRb8WubcmEvU0YlMJwCXs3Q6xrdkb0v50/qZBJP1TF0CvujFZQM++9BjEkTER/Jr9wbPHvjSFKnbMta0b4dQ=="],
|
||||||
|
|
||||||
|
"@algolia/ingestion": ["@algolia/ingestion@1.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1", "@algolia/requester-browser-xhr": "5.50.1", "@algolia/requester-fetch": "5.50.1", "@algolia/requester-node-http": "5.50.1" } }, "sha512-0GmfSgDQK6oiIVXnJvGxtNFOfosBspRTR7csCOYCTL1P8QtxX2vDCIKwTM7xdSAEbJaZ43QlWg25q0Qdsndz8Q=="],
|
||||||
|
|
||||||
|
"@algolia/monitoring": ["@algolia/monitoring@1.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1", "@algolia/requester-browser-xhr": "5.50.1", "@algolia/requester-fetch": "5.50.1", "@algolia/requester-node-http": "5.50.1" } }, "sha512-ySuigKEe4YjYV3si8NVk9BHQpFj/1B+ON7DhhvTvbrZJseHQQloxzq0yHwKmznSdlO6C956fx4pcfOKkZClsyg=="],
|
||||||
|
|
||||||
|
"@algolia/recommend": ["@algolia/recommend@5.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1", "@algolia/requester-browser-xhr": "5.50.1", "@algolia/requester-fetch": "5.50.1", "@algolia/requester-node-http": "5.50.1" } }, "sha512-Cp8T/B0gVmjFlzzp6eP47hwKh5FGyeqQp1N48/ANDdvdiQkPqLyFHQVDwLBH0LddfIPQE+yqmZIgmKc82haF4A=="],
|
||||||
|
|
||||||
|
"@algolia/requester-browser-xhr": ["@algolia/requester-browser-xhr@5.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1" } }, "sha512-XKdGGLikfrlK66ZSXh/vWcXZZ8Vg3byDFbJD8pwEvN1FoBRGxhxya476IY2ohoTymLa4qB5LBRlIa+2TLHx3Uw=="],
|
||||||
|
|
||||||
|
"@algolia/requester-fetch": ["@algolia/requester-fetch@5.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1" } }, "sha512-mBAU6WyVsDwhHyGM+nodt1/oebHxgvuLlOAoMGbj/1i6LygDHZWDgL1t5JEs37x9Aywv7ZGhqbM1GsfZ54sU6g=="],
|
||||||
|
|
||||||
|
"@algolia/requester-node-http": ["@algolia/requester-node-http@5.50.1", "", { "dependencies": { "@algolia/client-common": "5.50.1" } }, "sha512-qmo1LXrNKLHvJE6mdQbLnsZAoZvj7VyF2ft4xmbSGWI2WWm87fx/CjUX4kEExt4y0a6T6nEts6ofpUfH5TEE1A=="],
|
||||||
|
|
||||||
|
"@antfu/install-pkg": ["@antfu/install-pkg@1.1.0", "", { "dependencies": { "package-manager-detector": "^1.3.0", "tinyexec": "^1.0.1" } }, "sha512-MGQsmw10ZyI+EJo45CdSER4zEb+p31LpDAFp2Z3gkSd1yqVZGi0Ebx++YTEMonJy4oChEMLsxZ64j8FH6sSqtQ=="],
|
||||||
|
|
||||||
|
"@babel/helper-string-parser": ["@babel/helper-string-parser@7.27.1", "", {}, "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA=="],
|
||||||
|
|
||||||
|
"@babel/helper-validator-identifier": ["@babel/helper-validator-identifier@7.28.5", "", {}, "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q=="],
|
||||||
|
|
||||||
|
"@babel/parser": ["@babel/parser@7.29.2", "", { "dependencies": { "@babel/types": "^7.29.0" }, "bin": "./bin/babel-parser.js" }, "sha512-4GgRzy/+fsBa72/RZVJmGKPmZu9Byn8o4MoLpmNe1m8ZfYnz5emHLQz3U4gLud6Zwl0RZIcgiLD7Uq7ySFuDLA=="],
|
||||||
|
|
||||||
|
"@babel/types": ["@babel/types@7.29.0", "", { "dependencies": { "@babel/helper-string-parser": "^7.27.1", "@babel/helper-validator-identifier": "^7.28.5" } }, "sha512-LwdZHpScM4Qz8Xw2iKSzS+cfglZzJGvofQICy7W7v4caru4EaAmyUuO6BGrbyQ2mYV11W0U8j5mBhd14dd3B0A=="],
|
||||||
|
|
||||||
|
"@braintree/sanitize-url": ["@braintree/sanitize-url@7.1.2", "", {}, "sha512-jigsZK+sMF/cuiB7sERuo9V7N9jx+dhmHHnQyDSVdpZwVutaBu7WvNYqMDLSgFgfB30n452TP3vjDAvFC973mA=="],
|
||||||
|
|
||||||
|
"@chevrotain/cst-dts-gen": ["@chevrotain/cst-dts-gen@12.0.0", "", { "dependencies": { "@chevrotain/gast": "12.0.0", "@chevrotain/types": "12.0.0" } }, "sha512-fSL4KXjTl7cDgf0B5Rip9Q05BOrYvkJV/RrBTE/bKDN096E4hN/ySpcBK5B24T76dlQ2i32Zc3PAE27jFnFrKg=="],
|
||||||
|
|
||||||
|
"@chevrotain/gast": ["@chevrotain/gast@12.0.0", "", { "dependencies": { "@chevrotain/types": "12.0.0" } }, "sha512-1ne/m3XsIT8aEdrvT33so0GUC+wkctpUPK6zU9IlOyJLUbR0rg4G7ZiApiJbggpgPir9ERy3FRjT6T7lpgetnQ=="],
|
||||||
|
|
||||||
|
"@chevrotain/regexp-to-ast": ["@chevrotain/regexp-to-ast@12.0.0", "", {}, "sha512-p+EW9MaJwgaHguhoqwOtx/FwuGr+DnNn857sXWOi/mClXIkPGl3rn7hGNWvo31HA3vyeQxjqe+H36yZJwYU8cA=="],
|
||||||
|
|
||||||
|
"@chevrotain/types": ["@chevrotain/types@12.0.0", "", {}, "sha512-S+04vjFQKeuYw0/eW3U52LkAHQsB1ASxsPGsLPUyQgrZ2iNNibQrsidruDzjEX2JYfespXMG0eZmXlhA6z7nWA=="],
|
||||||
|
|
||||||
|
"@chevrotain/utils": ["@chevrotain/utils@12.0.0", "", {}, "sha512-lB59uJoaGIfOOL9knQqQRfhl9g7x8/wqFkp13zTdkRu1huG9kg6IJs1O8hqj9rs6h7orGxHJUKb+mX3rPbWGhA=="],
|
||||||
|
|
||||||
|
"@docsearch/css": ["@docsearch/css@3.8.2", "", {}, "sha512-y05ayQFyUmCXze79+56v/4HpycYF3uFqB78pLPrSV5ZKAlDuIAAJNhaRi8tTdRNXh05yxX/TyNnzD6LwSM89vQ=="],
|
||||||
|
|
||||||
|
"@docsearch/js": ["@docsearch/js@3.8.2", "", { "dependencies": { "@docsearch/react": "3.8.2", "preact": "^10.0.0" } }, "sha512-Q5wY66qHn0SwA7Taa0aDbHiJvaFJLOJyHmooQ7y8hlwwQLQ/5WwCcoX0g7ii04Qi2DJlHsd0XXzJ8Ypw9+9YmQ=="],
|
||||||
|
|
||||||
|
"@docsearch/react": ["@docsearch/react@3.8.2", "", { "dependencies": { "@algolia/autocomplete-core": "1.17.7", "@algolia/autocomplete-preset-algolia": "1.17.7", "@docsearch/css": "3.8.2", "algoliasearch": "^5.14.2" }, "peerDependencies": { "@types/react": ">= 16.8.0 < 19.0.0", "react": ">= 16.8.0 < 19.0.0", "react-dom": ">= 16.8.0 < 19.0.0", "search-insights": ">= 1 < 3" }, "optionalPeers": ["@types/react", "react", "react-dom", "search-insights"] }, "sha512-xCRrJQlTt8N9GU0DG4ptwHRkfnSnD/YpdeaXe02iKfqs97TkZJv60yE+1eq/tjPcVnTW8dP5qLP7itifFVV5eg=="],
|
||||||
|
|
||||||
|
"@esbuild/aix-ppc64": ["@esbuild/aix-ppc64@0.21.5", "", { "os": "aix", "cpu": "ppc64" }, "sha512-1SDgH6ZSPTlggy1yI6+Dbkiz8xzpHJEVAlF/AM1tHPLsf5STom9rwtjE4hKAF20FfXXNTFqEYXyJNWh1GiZedQ=="],
|
||||||
|
|
||||||
|
"@esbuild/android-arm": ["@esbuild/android-arm@0.21.5", "", { "os": "android", "cpu": "arm" }, "sha512-vCPvzSjpPHEi1siZdlvAlsPxXl7WbOVUBBAowWug4rJHb68Ox8KualB+1ocNvT5fjv6wpkX6o/iEpbDrf68zcg=="],
|
||||||
|
|
||||||
|
"@esbuild/android-arm64": ["@esbuild/android-arm64@0.21.5", "", { "os": "android", "cpu": "arm64" }, "sha512-c0uX9VAUBQ7dTDCjq+wdyGLowMdtR/GoC2U5IYk/7D1H1JYC0qseD7+11iMP2mRLN9RcCMRcjC4YMclCzGwS/A=="],
|
||||||
|
|
||||||
|
"@esbuild/android-x64": ["@esbuild/android-x64@0.21.5", "", { "os": "android", "cpu": "x64" }, "sha512-D7aPRUUNHRBwHxzxRvp856rjUHRFW1SdQATKXH2hqA0kAZb1hKmi02OpYRacl0TxIGz/ZmXWlbZgjwWYaCakTA=="],
|
||||||
|
|
||||||
|
"@esbuild/darwin-arm64": ["@esbuild/darwin-arm64@0.21.5", "", { "os": "darwin", "cpu": "arm64" }, "sha512-DwqXqZyuk5AiWWf3UfLiRDJ5EDd49zg6O9wclZ7kUMv2WRFr4HKjXp/5t8JZ11QbQfUS6/cRCKGwYhtNAY88kQ=="],
|
||||||
|
|
||||||
|
"@esbuild/darwin-x64": ["@esbuild/darwin-x64@0.21.5", "", { "os": "darwin", "cpu": "x64" }, "sha512-se/JjF8NlmKVG4kNIuyWMV/22ZaerB+qaSi5MdrXtd6R08kvs2qCN4C09miupktDitvh8jRFflwGFBQcxZRjbw=="],
|
||||||
|
|
||||||
|
"@esbuild/freebsd-arm64": ["@esbuild/freebsd-arm64@0.21.5", "", { "os": "freebsd", "cpu": "arm64" }, "sha512-5JcRxxRDUJLX8JXp/wcBCy3pENnCgBR9bN6JsY4OmhfUtIHe3ZW0mawA7+RDAcMLrMIZaf03NlQiX9DGyB8h4g=="],
|
||||||
|
|
||||||
|
"@esbuild/freebsd-x64": ["@esbuild/freebsd-x64@0.21.5", "", { "os": "freebsd", "cpu": "x64" }, "sha512-J95kNBj1zkbMXtHVH29bBriQygMXqoVQOQYA+ISs0/2l3T9/kj42ow2mpqerRBxDJnmkUDCaQT/dfNXWX/ZZCQ=="],
|
||||||
|
|
||||||
|
"@esbuild/linux-arm": ["@esbuild/linux-arm@0.21.5", "", { "os": "linux", "cpu": "arm" }, "sha512-bPb5AHZtbeNGjCKVZ9UGqGwo8EUu4cLq68E95A53KlxAPRmUyYv2D6F0uUI65XisGOL1hBP5mTronbgo+0bFcA=="],
|
||||||
|
|
||||||
|
"@esbuild/linux-arm64": ["@esbuild/linux-arm64@0.21.5", "", { "os": "linux", "cpu": "arm64" }, "sha512-ibKvmyYzKsBeX8d8I7MH/TMfWDXBF3db4qM6sy+7re0YXya+K1cem3on9XgdT2EQGMu4hQyZhan7TeQ8XkGp4Q=="],
|
||||||
|
|
||||||
|
"@esbuild/linux-ia32": ["@esbuild/linux-ia32@0.21.5", "", { "os": "linux", "cpu": "ia32" }, "sha512-YvjXDqLRqPDl2dvRODYmmhz4rPeVKYvppfGYKSNGdyZkA01046pLWyRKKI3ax8fbJoK5QbxblURkwK/MWY18Tg=="],
|
||||||
|
|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
|
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|
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||||||
|
"safer-buffer": ["safer-buffer@2.1.2", "", {}, "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="],
|
||||||
|
|
||||||
|
"search-insights": ["search-insights@2.17.3", "", {}, "sha512-RQPdCYTa8A68uM2jwxoY842xDhvx3E5LFL1LxvxCNMev4o5mLuokczhzjAgGwUZBAmOKZknArSxLKmXtIi2AxQ=="],
|
||||||
|
|
||||||
|
"shiki": ["shiki@2.5.0", "", { "dependencies": { "@shikijs/core": "2.5.0", "@shikijs/engine-javascript": "2.5.0", "@shikijs/engine-oniguruma": "2.5.0", "@shikijs/langs": "2.5.0", "@shikijs/themes": "2.5.0", "@shikijs/types": "2.5.0", "@shikijs/vscode-textmate": "^10.0.2", "@types/hast": "^3.0.4" } }, "sha512-mI//trrsaiCIPsja5CNfsyNOqgAZUb6VpJA+340toL42UpzQlXpwRV9nch69X6gaUxrr9kaOOa6e3y3uAkGFxQ=="],
|
||||||
|
|
||||||
|
"source-map-js": ["source-map-js@1.2.1", "", {}, "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA=="],
|
||||||
|
|
||||||
|
"space-separated-tokens": ["space-separated-tokens@2.0.2", "", {}, "sha512-PEGlAwrG8yXGXRjW32fGbg66JAlOAwbObuqVoJpv/mRgoWDQfgH1wDPvtzWyUSNAXBGSk8h755YDbbcEy3SH2Q=="],
|
||||||
|
|
||||||
|
"speakingurl": ["speakingurl@14.0.1", "", {}, "sha512-1POYv7uv2gXoyGFpBCmpDVSNV74IfsWlDW216UPjbWufNf+bSU6GdbDsxdcxtfwb4xlI3yxzOTKClUosxARYrQ=="],
|
||||||
|
|
||||||
|
"stringify-entities": ["stringify-entities@4.0.4", "", { "dependencies": { "character-entities-html4": "^2.0.0", "character-entities-legacy": "^3.0.0" } }, "sha512-IwfBptatlO+QCJUo19AqvrPNqlVMpW9YEL2LIVY+Rpv2qsjCGxaDLNRgeGsQWJhfItebuJhsGSLjaBbNSQ+ieg=="],
|
||||||
|
|
||||||
|
"stylis": ["stylis@4.3.6", "", {}, "sha512-yQ3rwFWRfwNUY7H5vpU0wfdkNSnvnJinhF9830Swlaxl03zsOjCfmX0ugac+3LtK0lYSgwL/KXc8oYL3mG4YFQ=="],
|
||||||
|
|
||||||
|
"superjson": ["superjson@2.2.6", "", { "dependencies": { "copy-anything": "^4" } }, "sha512-H+ue8Zo4vJmV2nRjpx86P35lzwDT3nItnIsocgumgr0hHMQ+ZGq5vrERg9kJBo5AWGmxZDhzDo+WVIJqkB0cGA=="],
|
||||||
|
|
||||||
|
"tabbable": ["tabbable@6.4.0", "", {}, "sha512-05PUHKSNE8ou2dwIxTngl4EzcnsCDZGJ/iCLtDflR/SHB/ny14rXc+qU5P4mG9JkusiV7EivzY9Mhm55AzAvCg=="],
|
||||||
|
|
||||||
|
"tinyexec": ["tinyexec@1.1.1", "", {}, "sha512-VKS/ZaQhhkKFMANmAOhhXVoIfBXblQxGX1myCQ2faQrfmobMftXeJPcZGp0gS07ocvGJWDLZGyOZDadDBqYIJg=="],
|
||||||
|
|
||||||
|
"trim-lines": ["trim-lines@3.0.1", "", {}, "sha512-kRj8B+YHZCc9kQYdWfJB2/oUl9rA99qbowYYBtr4ui4mZyAQ2JpvVBd/6U2YloATfqBhBTSMhTpgBHtU0Mf3Rg=="],
|
||||||
|
|
||||||
|
"ts-dedent": ["ts-dedent@2.2.0", "", {}, "sha512-q5W7tVM71e2xjHZTlgfTDoPF/SmqKG5hddq9SzR49CH2hayqRKJtQ4mtRlSxKaJlR/+9rEM+mnBHf7I2/BQcpQ=="],
|
||||||
|
|
||||||
|
"typescript": ["typescript@5.9.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw=="],
|
||||||
|
|
||||||
|
"ufo": ["ufo@1.6.3", "", {}, "sha512-yDJTmhydvl5lJzBmy/hyOAA0d+aqCBuwl818haVdYCRrWV84o7YyeVm4QlVHStqNrrJSTb6jKuFAVqAFsr+K3Q=="],
|
||||||
|
|
||||||
|
"undici-types": ["undici-types@7.18.2", "", {}, "sha512-AsuCzffGHJybSaRrmr5eHr81mwJU3kjw6M+uprWvCXiNeN9SOGwQ3Jn8jb8m3Z6izVgknn1R0FTCEAP2QrLY/w=="],
|
||||||
|
|
||||||
|
"unist-util-is": ["unist-util-is@6.0.1", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-LsiILbtBETkDz8I9p1dQ0uyRUWuaQzd/cuEeS1hoRSyW5E5XGmTzlwY1OrNzzakGowI9Dr/I8HVaw4hTtnxy8g=="],
|
||||||
|
|
||||||
|
"unist-util-position": ["unist-util-position@5.0.0", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-fucsC7HjXvkB5R3kTCO7kUjRdrS0BJt3M/FPxmHMBOm8JQi2BsHAHFsy27E0EolP8rp0NzXsJ+jNPyDWvOJZPA=="],
|
||||||
|
|
||||||
|
"unist-util-stringify-position": ["unist-util-stringify-position@4.0.0", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-0ASV06AAoKCDkS2+xw5RXJywruurpbC4JZSm7nr7MOt1ojAzvyyaO+UxZf18j8FCF6kmzCZKcAgN/yu2gm2XgQ=="],
|
||||||
|
|
||||||
|
"unist-util-visit": ["unist-util-visit@5.1.0", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-is": "^6.0.0", "unist-util-visit-parents": "^6.0.0" } }, "sha512-m+vIdyeCOpdr/QeQCu2EzxX/ohgS8KbnPDgFni4dQsfSCtpz8UqDyY5GjRru8PDKuYn7Fq19j1CQ+nJSsGKOzg=="],
|
||||||
|
|
||||||
|
"unist-util-visit-parents": ["unist-util-visit-parents@6.0.2", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-is": "^6.0.0" } }, "sha512-goh1s1TBrqSqukSc8wrjwWhL0hiJxgA8m4kFxGlQ+8FYQ3C/m11FcTs4YYem7V664AhHVvgoQLk890Ssdsr2IQ=="],
|
||||||
|
|
||||||
|
"uuid": ["uuid@11.1.0", "", { "bin": { "uuid": "dist/esm/bin/uuid" } }, "sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A=="],
|
||||||
|
|
||||||
|
"vfile": ["vfile@6.0.3", "", { "dependencies": { "@types/unist": "^3.0.0", "vfile-message": "^4.0.0" } }, "sha512-KzIbH/9tXat2u30jf+smMwFCsno4wHVdNmzFyL+T/L3UGqqk6JKfVqOFOZEpZSHADH1k40ab6NUIXZq422ov3Q=="],
|
||||||
|
|
||||||
|
"vfile-message": ["vfile-message@4.0.3", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-stringify-position": "^4.0.0" } }, "sha512-QTHzsGd1EhbZs4AsQ20JX1rC3cOlt/IWJruk893DfLRr57lcnOeMaWG4K0JrRta4mIJZKth2Au3mM3u03/JWKw=="],
|
||||||
|
|
||||||
|
"vite": ["vite@5.4.21", "", { "dependencies": { "esbuild": "^0.21.3", "postcss": "^8.4.43", "rollup": "^4.20.0" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^18.0.0 || >=20.0.0", "less": "*", "lightningcss": "^1.21.0", "sass": "*", "sass-embedded": "*", "stylus": "*", "sugarss": "*", "terser": "^5.4.0" }, "optionalPeers": ["@types/node", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser"], "bin": { "vite": "bin/vite.js" } }, "sha512-o5a9xKjbtuhY6Bi5S3+HvbRERmouabWbyUcpXXUA1u+GNUKoROi9byOJ8M0nHbHYHkYICiMlqxkg1KkYmm25Sw=="],
|
||||||
|
|
||||||
|
"vitepress": ["vitepress@1.6.4", "", { "dependencies": { "@docsearch/css": "3.8.2", "@docsearch/js": "3.8.2", "@iconify-json/simple-icons": "^1.2.21", "@shikijs/core": "^2.1.0", "@shikijs/transformers": "^2.1.0", "@shikijs/types": "^2.1.0", "@types/markdown-it": "^14.1.2", "@vitejs/plugin-vue": "^5.2.1", "@vue/devtools-api": "^7.7.0", "@vue/shared": "^3.5.13", "@vueuse/core": "^12.4.0", "@vueuse/integrations": "^12.4.0", "focus-trap": "^7.6.4", "mark.js": "8.11.1", "minisearch": "^7.1.1", "shiki": "^2.1.0", "vite": "^5.4.14", "vue": "^3.5.13" }, "peerDependencies": { "markdown-it-mathjax3": "^4", "postcss": "^8" }, "optionalPeers": ["markdown-it-mathjax3", "postcss"], "bin": { "vitepress": "bin/vitepress.js" } }, "sha512-+2ym1/+0VVrbhNyRoFFesVvBvHAVMZMK0rw60E3X/5349M1GuVdKeazuksqopEdvkKwKGs21Q729jX81/bkBJg=="],
|
||||||
|
|
||||||
|
"vitepress-plugin-mermaid": ["vitepress-plugin-mermaid@2.0.17", "", { "optionalDependencies": { "@mermaid-js/mermaid-mindmap": "^9.3.0" }, "peerDependencies": { "mermaid": "10 || 11", "vitepress": "^1.0.0 || ^1.0.0-alpha" } }, "sha512-IUzYpwf61GC6k0XzfmAmNrLvMi9TRrVRMsUyCA8KNXhg/mQ1VqWnO0/tBVPiX5UoKF1mDUwqn5QV4qAJl6JnUg=="],
|
||||||
|
|
||||||
|
"vscode-jsonrpc": ["vscode-jsonrpc@8.2.0", "", {}, "sha512-C+r0eKJUIfiDIfwJhria30+TYWPtuHJXHtI7J0YlOmKAo7ogxP20T0zxB7HZQIFhIyvoBPwWskjxrvAtfjyZfA=="],
|
||||||
|
|
||||||
|
"vscode-languageserver": ["vscode-languageserver@9.0.1", "", { "dependencies": { "vscode-languageserver-protocol": "3.17.5" }, "bin": { "installServerIntoExtension": "bin/installServerIntoExtension" } }, "sha512-woByF3PDpkHFUreUa7Hos7+pUWdeWMXRd26+ZX2A8cFx6v/JPTtd4/uN0/jB6XQHYaOlHbio03NTHCqrgG5n7g=="],
|
||||||
|
|
||||||
|
"vscode-languageserver-protocol": ["vscode-languageserver-protocol@3.17.5", "", { "dependencies": { "vscode-jsonrpc": "8.2.0", "vscode-languageserver-types": "3.17.5" } }, "sha512-mb1bvRJN8SVznADSGWM9u/b07H7Ecg0I3OgXDuLdn307rl/J3A9YD6/eYOssqhecL27hK1IPZAsaqh00i/Jljg=="],
|
||||||
|
|
||||||
|
"vscode-languageserver-textdocument": ["vscode-languageserver-textdocument@1.0.12", "", {}, "sha512-cxWNPesCnQCcMPeenjKKsOCKQZ/L6Tv19DTRIGuLWe32lyzWhihGVJ/rcckZXJxfdKCFvRLS3fpBIsV/ZGX4zA=="],
|
||||||
|
|
||||||
|
"vscode-languageserver-types": ["vscode-languageserver-types@3.17.5", "", {}, "sha512-Ld1VelNuX9pdF39h2Hgaeb5hEZM2Z3jUrrMgWQAu82jMtZp7p3vJT3BzToKtZI7NgQssZje5o0zryOrhQvzQAg=="],
|
||||||
|
|
||||||
|
"vscode-uri": ["vscode-uri@3.1.0", "", {}, "sha512-/BpdSx+yCQGnCvecbyXdxHDkuk55/G3xwnC0GqY4gmQ3j+A+g8kzzgB4Nk/SINjqn6+waqw3EgbVF2QKExkRxQ=="],
|
||||||
|
|
||||||
|
"vue": ["vue@3.5.32", "", { "dependencies": { "@vue/compiler-dom": "3.5.32", "@vue/compiler-sfc": "3.5.32", "@vue/runtime-dom": "3.5.32", "@vue/server-renderer": "3.5.32", "@vue/shared": "3.5.32" }, "peerDependencies": { "typescript": "*" }, "optionalPeers": ["typescript"] }, "sha512-vM4z4Q9tTafVfMAK7IVzmxg34rSzTFMyIe0UUEijUCkn9+23lj0WRfA83dg7eQZIUlgOSGrkViIaCfqSAUXsMw=="],
|
||||||
|
|
||||||
|
"zwitch": ["zwitch@2.0.4", "", {}, "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A=="],
|
||||||
|
|
||||||
|
"@mermaid-js/mermaid-mindmap/@braintree/sanitize-url": ["@braintree/sanitize-url@6.0.4", "", {}, "sha512-s3jaWicZd0pkP0jf5ysyHUI/RE7MHos6qlToFcGWXVp+ykHOy77OUMrfbgJ9it2C5bow7OIQwYYaHjk9XlBQ2A=="],
|
||||||
|
|
||||||
|
"cytoscape-fcose/cose-base": ["cose-base@2.2.0", "", { "dependencies": { "layout-base": "^2.0.0" } }, "sha512-AzlgcsCbUMymkADOJtQm3wO9S3ltPfYOFD5033keQn9NJzIbtnZj+UdBJe7DYml/8TdbtHJW3j58SOnKhWY/5g=="],
|
||||||
|
|
||||||
|
"d3-dsv/commander": ["commander@7.2.0", "", {}, "sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw=="],
|
||||||
|
|
||||||
|
"d3-sankey/d3-array": ["d3-array@2.12.1", "", { "dependencies": { "internmap": "^1.0.0" } }, "sha512-B0ErZK/66mHtEsR1TkPEEkwdy+WDesimkM5gpZr5Dsg54BiTA5RXtYW5qTLIAcekaS9xfZrzBLF/OAkB3Qn1YQ=="],
|
||||||
|
|
||||||
|
"d3-sankey/d3-shape": ["d3-shape@1.3.7", "", { "dependencies": { "d3-path": "1" } }, "sha512-EUkvKjqPFUAZyOlhY5gzCxCeI0Aep04LwIRpsZ/mLFelJiUfnK56jo5JMDSE7yyP2kLSb6LtF+S5chMk7uqPqw=="],
|
||||||
|
|
||||||
|
"cytoscape-fcose/cose-base/layout-base": ["layout-base@2.0.1", "", {}, "sha512-dp3s92+uNI1hWIpPGH3jK2kxE2lMjdXdr+DH8ynZHpd6PUlH6x6cbuXnoMmiNumznqaNO31xu9e79F0uuZ0JFg=="],
|
||||||
|
|
||||||
|
"d3-sankey/d3-array/internmap": ["internmap@1.0.1", "", {}, "sha512-lDB5YccMydFBtasVtxnZ3MRBHuaoE8GKsppq+EchKL2U4nK/DmEpPHNH8MZe5HkMtpSiTSOZwfN0tzYjO/lJEw=="],
|
||||||
|
|
||||||
|
"d3-sankey/d3-shape/d3-path": ["d3-path@1.0.9", "", {}, "sha512-VLaYcn81dtHVTjEHd8B+pbe9yHWpXKZUC87PzoFmsFrJqgFwDe/qxfp5MlfsfM1V5E/iVt0MmEbWQ7FVIXh/bg=="],
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,125 @@
|
|||||||
|
# AAAK Dialect
|
||||||
|
|
||||||
|
AAAK is an experimental lossy abbreviation system designed to pack repeated entities and relationships into fewer tokens at scale. It is readable by any LLM — Claude, GPT, Gemini, Llama, Mistral — without a decoder.
|
||||||
|
|
||||||
|
::: warning Experimental
|
||||||
|
AAAK is a separate compression layer, **not the storage default**. The 96.6% benchmark score comes from raw verbatim mode. AAAK mode currently scores 84.2% R@5 — a 12.4 point regression. We're iterating.
|
||||||
|
:::
|
||||||
|
|
||||||
|
## What AAAK Is
|
||||||
|
|
||||||
|
- **Lossy, not lossless.** Uses regex-based abbreviation, not reversible compression.
|
||||||
|
- **A structured summary format.** Extracts entities, topics, key sentences, emotions, and flags from plain text.
|
||||||
|
- **Readable by any LLM.** No decoder needed — models read it naturally.
|
||||||
|
- **Designed for scale.** Saves tokens when the same entities appear hundreds of times.
|
||||||
|
|
||||||
|
## What AAAK Is Not
|
||||||
|
|
||||||
|
- **Not lossless compression.** The original text cannot be reconstructed.
|
||||||
|
- **Not efficient at small scale.** Short text already tokenizes efficiently — AAAK overhead costs more than it saves.
|
||||||
|
- **Not the default storage format.** MemPalace stores raw verbatim text in ChromaDB.
|
||||||
|
|
||||||
|
## Format
|
||||||
|
|
||||||
|
```
|
||||||
|
Header: FILE_NUM|PRIMARY_ENTITY|DATE|TITLE
|
||||||
|
Zettel: ZID:ENTITIES|topic_keywords|"key_quote"|WEIGHT|EMOTIONS|FLAGS
|
||||||
|
Tunnel: T:ZID<->ZID|label
|
||||||
|
Arc: ARC:emotion->emotion->emotion
|
||||||
|
```
|
||||||
|
|
||||||
|
### Entity Codes
|
||||||
|
|
||||||
|
Three-letter uppercase codes: `ALC=Alice`, `KAI=Kai`, `MAX=Max`.
|
||||||
|
|
||||||
|
### Emotion Codes
|
||||||
|
|
||||||
|
| Code | Meaning | Code | Meaning |
|
||||||
|
|------|---------|------|---------|
|
||||||
|
| `vul` | vulnerability | `joy` | joy |
|
||||||
|
| `fear` | fear | `trust` | trust |
|
||||||
|
| `grief` | grief | `wonder` | wonder |
|
||||||
|
| `rage` | rage | `love` | love |
|
||||||
|
| `hope` | hope | `despair` | despair |
|
||||||
|
| `peace` | peace | `humor` | humor |
|
||||||
|
| `tender` | tenderness | `raw` | raw honesty |
|
||||||
|
| `doubt` | self-doubt | `relief` | relief |
|
||||||
|
| `anx` | anxiety | `exhaust` | exhaustion |
|
||||||
|
|
||||||
|
### Flags
|
||||||
|
|
||||||
|
| Flag | Meaning |
|
||||||
|
|------|---------|
|
||||||
|
| `ORIGIN` | Origin moment (birth of something) |
|
||||||
|
| `CORE` | Core belief or identity pillar |
|
||||||
|
| `SENSITIVE` | Handle with absolute care |
|
||||||
|
| `PIVOT` | Emotional turning point |
|
||||||
|
| `GENESIS` | Led directly to something existing |
|
||||||
|
| `DECISION` | Explicit decision or choice |
|
||||||
|
| `TECHNICAL` | Technical architecture detail |
|
||||||
|
|
||||||
|
## Example
|
||||||
|
|
||||||
|
**Input:**
|
||||||
|
```
|
||||||
|
We decided to use GraphQL instead of REST because the frontend team needs
|
||||||
|
flexible queries. Kai recommended it after researching both options. The team
|
||||||
|
was excited about the schema-first approach.
|
||||||
|
```
|
||||||
|
|
||||||
|
**AAAK output:**
|
||||||
|
```
|
||||||
|
0:KAI|graphql_rest_decided|"decided to use GraphQL instead of REST"|determ+excite|DECISION+TECHNICAL
|
||||||
|
```
|
||||||
|
|
||||||
|
## Usage
|
||||||
|
|
||||||
|
### Compress drawers
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Preview compression
|
||||||
|
mempalace compress --wing myapp --dry-run
|
||||||
|
|
||||||
|
# Compress and store
|
||||||
|
mempalace compress --wing myapp
|
||||||
|
```
|
||||||
|
|
||||||
|
### With entity config
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace compress --wing myapp --config entities.json
|
||||||
|
```
|
||||||
|
|
||||||
|
Entity config format:
|
||||||
|
```json
|
||||||
|
{
|
||||||
|
"entities": {"Alice": "ALC", "Bob": "BOB"},
|
||||||
|
"skip_names": ["Gandalf", "Sherlock"]
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
### Python API
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.dialect import Dialect
|
||||||
|
|
||||||
|
# Basic compression
|
||||||
|
dialect = Dialect()
|
||||||
|
compressed = dialect.compress("We decided to use GraphQL...")
|
||||||
|
|
||||||
|
# With entity mappings
|
||||||
|
dialect = Dialect(entities={"Alice": "ALC", "Kai": "KAI"})
|
||||||
|
compressed = dialect.compress(text, metadata={"wing": "myapp", "room": "arch"})
|
||||||
|
|
||||||
|
# From config file
|
||||||
|
dialect = Dialect.from_config("entities.json")
|
||||||
|
```
|
||||||
|
|
||||||
|
## When to Use AAAK
|
||||||
|
|
||||||
|
AAAK is most useful when:
|
||||||
|
- You have **many repeated entities** across thousands of sessions
|
||||||
|
- You need to **compress context** for local models with small windows
|
||||||
|
- You want **structured summaries** pointing back to verbatim drawers
|
||||||
|
|
||||||
|
For most users, raw verbatim mode is the better default.
|
||||||
@@ -0,0 +1,61 @@
|
|||||||
|
# Specialist Agents
|
||||||
|
|
||||||
|
MemPalace currently supports **agent diaries** through MCP tools. The practical model is simple: give an agent a stable name, and write/read diary entries under that agent's wing.
|
||||||
|
|
||||||
|
::: warning Current Scope
|
||||||
|
This page documents the diary workflow that exists today. MemPalace does **not** currently ship an agent registry, `~/.mempalace/agents/*.json`, or a `mempalace_list_agents` tool.
|
||||||
|
:::
|
||||||
|
|
||||||
|
## What Agents Do
|
||||||
|
|
||||||
|
Each agent:
|
||||||
|
|
||||||
|
- **Has a focus** — what it pays attention to
|
||||||
|
- **Keeps a diary** — entries persist across sessions
|
||||||
|
- **Can read recent history** — useful for patterns, continuity, and follow-up work
|
||||||
|
|
||||||
|
## Agent Diary
|
||||||
|
|
||||||
|
The diary is a lightweight memory stream for one named agent: observations, findings, decisions, and recurring patterns.
|
||||||
|
|
||||||
|
### Writing Entries
|
||||||
|
|
||||||
|
```text
|
||||||
|
MCP tool: mempalace_diary_write
|
||||||
|
arguments: {
|
||||||
|
"agent_name": "reviewer",
|
||||||
|
"entry": "PR#42|auth.bypass.found|missing.middleware.check|pattern:3rd.time.this.quarter|★★★★"
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
### Reading History
|
||||||
|
|
||||||
|
```text
|
||||||
|
MCP tool: mempalace_diary_read
|
||||||
|
arguments: { "agent_name": "reviewer", "last_n": 10 }
|
||||||
|
→ returns last 10 findings, compressed in AAAK
|
||||||
|
```
|
||||||
|
|
||||||
|
### MCP Tools
|
||||||
|
|
||||||
|
| Tool | Description |
|
||||||
|
|------|-------------|
|
||||||
|
| `mempalace_diary_write` | Write an AAAK diary entry |
|
||||||
|
| `mempalace_diary_read` | Read recent diary entries |
|
||||||
|
|
||||||
|
## How It Works
|
||||||
|
|
||||||
|
Each named agent maps to its own wing in the palace:
|
||||||
|
- `wing_reviewer` — the reviewer's diary, findings, patterns
|
||||||
|
- `wing_architect` — the architect's decisions, tradeoffs
|
||||||
|
- `wing_ops` — the ops agent's incidents, deploys
|
||||||
|
|
||||||
|
All entries go into a `diary` room within the wing, tagged with topic, timestamp, and agent name.
|
||||||
|
|
||||||
|
## Specialization
|
||||||
|
|
||||||
|
Separate diary streams let you keep different working contexts apart. A reviewer can keep bug patterns, an architect can keep decisions, and an ops agent can keep incident notes without mixing them into one shared log.
|
||||||
|
|
||||||
|
::: tip
|
||||||
|
If you use multiple specialist prompts or toolchains, keep the agent names stable so each one writes back to the same diary wing over time.
|
||||||
|
:::
|
||||||
@@ -0,0 +1,33 @@
|
|||||||
|
# Contradiction Detection
|
||||||
|
|
||||||
|
::: warning Experimental
|
||||||
|
Contradiction detection is a planned capability, not a shipped end-to-end feature in the current MCP workflow. The examples below show the intended behavior rather than a fully integrated command path.
|
||||||
|
:::
|
||||||
|
|
||||||
|
## What It Does
|
||||||
|
|
||||||
|
Checks assertions against entity facts in the knowledge graph. When enabled, it catches contradictions like:
|
||||||
|
|
||||||
|
```
|
||||||
|
Input: "Soren finished the auth migration"
|
||||||
|
Output: 🔴 AUTH-MIGRATION: attribution conflict — Maya was assigned, not Soren
|
||||||
|
|
||||||
|
Input: "Kai has been here 2 years"
|
||||||
|
Output: 🟡 KAI: wrong_tenure — records show 3 years (started 2023-04)
|
||||||
|
|
||||||
|
Input: "The sprint ends Friday"
|
||||||
|
Output: 🟡 SPRINT: stale_date — current sprint ends Thursday (updated 2 days ago)
|
||||||
|
```
|
||||||
|
|
||||||
|
## How It Works
|
||||||
|
|
||||||
|
Facts are checked against the knowledge graph:
|
||||||
|
- **Attribution conflicts** — the wrong person credited for a task
|
||||||
|
- **Temporal errors** — wrong dates, tenures, or durations
|
||||||
|
- **Stale information** — facts that have been superseded
|
||||||
|
|
||||||
|
Ages, dates, and tenures are calculated dynamically from the entity's recorded facts — not hardcoded.
|
||||||
|
|
||||||
|
## Status
|
||||||
|
|
||||||
|
The current codebase includes the temporal knowledge graph primitives needed for this direction, but not a complete contradiction-checking tool exposed through the CLI or MCP server.
|
||||||
@@ -0,0 +1,91 @@
|
|||||||
|
# Knowledge Graph
|
||||||
|
|
||||||
|
MemPalace includes a temporal entity-relationship graph — like Zep's Graphiti, but SQLite instead of Neo4j. Local and free.
|
||||||
|
|
||||||
|
## What It Stores
|
||||||
|
|
||||||
|
Entity-relationship triples with temporal validity:
|
||||||
|
|
||||||
|
```
|
||||||
|
Subject → Predicate → Object [valid_from → valid_to]
|
||||||
|
```
|
||||||
|
|
||||||
|
Facts have time windows. When something stops being true, you invalidate it — and historical queries still find it.
|
||||||
|
|
||||||
|
## Usage
|
||||||
|
|
||||||
|
### Python API
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.knowledge_graph import KnowledgeGraph
|
||||||
|
|
||||||
|
kg = KnowledgeGraph()
|
||||||
|
|
||||||
|
# Add facts
|
||||||
|
kg.add_triple("Kai", "works_on", "Orion", valid_from="2025-06-01")
|
||||||
|
kg.add_triple("Maya", "assigned_to", "auth-migration", valid_from="2026-01-15")
|
||||||
|
kg.add_triple("Maya", "completed", "auth-migration", valid_from="2026-02-01")
|
||||||
|
|
||||||
|
# Query: everything about Kai
|
||||||
|
kg.query_entity("Kai")
|
||||||
|
# → [Kai → works_on → Orion (current), Kai → recommended → Clerk (2026-01)]
|
||||||
|
|
||||||
|
# Query: what was true in January?
|
||||||
|
kg.query_entity("Maya", as_of="2026-01-20")
|
||||||
|
# → [Maya → assigned_to → auth-migration (active)]
|
||||||
|
|
||||||
|
# Timeline
|
||||||
|
kg.timeline("Orion")
|
||||||
|
# → chronological story of the project
|
||||||
|
```
|
||||||
|
|
||||||
|
### Invalidating Facts
|
||||||
|
|
||||||
|
When something stops being true:
|
||||||
|
|
||||||
|
```python
|
||||||
|
kg.invalidate("Kai", "works_on", "Orion", ended="2026-03-01")
|
||||||
|
```
|
||||||
|
|
||||||
|
Now queries for Kai's current work won't return Orion. Historical queries still will.
|
||||||
|
|
||||||
|
### MCP Tools
|
||||||
|
|
||||||
|
Through the MCP server, the knowledge graph is available as tools:
|
||||||
|
|
||||||
|
| Tool | Description |
|
||||||
|
|------|-------------|
|
||||||
|
| `mempalace_kg_query` | Query entity relationships with time filtering |
|
||||||
|
| `mempalace_kg_add` | Add facts |
|
||||||
|
| `mempalace_kg_invalidate` | Mark facts as ended |
|
||||||
|
| `mempalace_kg_timeline` | Chronological entity story |
|
||||||
|
| `mempalace_kg_stats` | Graph overview |
|
||||||
|
|
||||||
|
## Storage
|
||||||
|
|
||||||
|
The knowledge graph uses SQLite with two tables:
|
||||||
|
|
||||||
|
**`entities`** — people, projects, tools, concepts:
|
||||||
|
- `id` — lowercase normalized name
|
||||||
|
- `name` — display name
|
||||||
|
- `type` — person, project, tool, concept, etc.
|
||||||
|
- `properties` — JSON blob for extra metadata
|
||||||
|
|
||||||
|
**`triples`** — relationships between entities:
|
||||||
|
- `subject` → `predicate` → `object`
|
||||||
|
- `valid_from` — when this became true
|
||||||
|
- `valid_to` — when it stopped being true (NULL = still current)
|
||||||
|
- `confidence` — 0.0 to 1.0
|
||||||
|
- `source_closet` — link back to the verbatim memory
|
||||||
|
|
||||||
|
Database location: `~/.mempalace/knowledge_graph.sqlite3`
|
||||||
|
|
||||||
|
## Comparison
|
||||||
|
|
||||||
|
| Feature | MemPalace | Zep (Graphiti) |
|
||||||
|
|---------|-----------|----------------|
|
||||||
|
| Storage | SQLite (local) | Neo4j (cloud) |
|
||||||
|
| Cost | Free | $25/mo+ |
|
||||||
|
| Temporal validity | Yes | Yes |
|
||||||
|
| Self-hosted | Always | Enterprise only |
|
||||||
|
| Privacy | Everything local | SOC 2, HIPAA |
|
||||||
@@ -0,0 +1,104 @@
|
|||||||
|
# Memory Stack
|
||||||
|
|
||||||
|
MemPalace uses a 4-layer memory stack. Each layer loads progressively more data only when needed.
|
||||||
|
|
||||||
|
## The Layers
|
||||||
|
|
||||||
|
| Layer | What | Size | When |
|
||||||
|
|-------|------|------|------|
|
||||||
|
| **L0** | Identity — who is this AI? | ~50-100 tokens | Always loaded |
|
||||||
|
| **L1** | Essential Story — top moments | ~500-800 tokens | Always loaded |
|
||||||
|
| **L2** | Room Recall — filtered retrieval | ~200–500 each | When topic comes up |
|
||||||
|
| **L3** | Deep Search — full semantic query | Variable | When explicitly asked |
|
||||||
|
|
||||||
|
In the current implementation, a typical wake-up is roughly **~600-900 tokens** for L0 + L1. Searches only fire when needed.
|
||||||
|
|
||||||
|
## Layer 0: Identity
|
||||||
|
|
||||||
|
A plain text file at `~/.mempalace/identity.txt`. Always loaded as the AI's self-concept.
|
||||||
|
|
||||||
|
```text
|
||||||
|
I am Atlas, a personal AI assistant for Alice.
|
||||||
|
Traits: warm, direct, remembers everything.
|
||||||
|
People: Alice (creator), Bob (Alice's partner).
|
||||||
|
Project: A journaling app that helps people process emotions.
|
||||||
|
```
|
||||||
|
|
||||||
|
~50 tokens. Tells the AI who it is and who it works with.
|
||||||
|
|
||||||
|
## Layer 1: Essential Story
|
||||||
|
|
||||||
|
Auto-generated from the highest-importance drawers in the palace. Groups by room, picks the top moments, and keeps the output bounded.
|
||||||
|
|
||||||
|
The generation process:
|
||||||
|
1. Reads all drawers from ChromaDB
|
||||||
|
2. Scores each by importance/emotional weight
|
||||||
|
3. Takes the top 15 moments
|
||||||
|
4. Groups by room for readability
|
||||||
|
5. Truncates to fit within 3,200 characters
|
||||||
|
|
||||||
|
```
|
||||||
|
## L1 — ESSENTIAL STORY
|
||||||
|
|
||||||
|
[auth-migration]
|
||||||
|
- Team decided to migrate from Auth0 to Clerk — pricing + DX (session_2026-01-15.md)
|
||||||
|
- Kai debugged the OAuth token refresh issue (session_2026-01-20.md)
|
||||||
|
|
||||||
|
[deploy-process]
|
||||||
|
- Switched to blue-green deploys after the January outage (session_2026-02-01.md)
|
||||||
|
```
|
||||||
|
|
||||||
|
## Layer 2: On-Demand Recall
|
||||||
|
|
||||||
|
Loaded when a specific topic or wing comes up in conversation. Retrieves drawers filtered by wing and/or room — typically ~200–500 tokens.
|
||||||
|
|
||||||
|
```python
|
||||||
|
stack = MemoryStack()
|
||||||
|
stack.recall(wing="driftwood", room="auth")
|
||||||
|
# → returns recent drawers about auth in the driftwood project
|
||||||
|
```
|
||||||
|
|
||||||
|
## Layer 3: Deep Search
|
||||||
|
|
||||||
|
Full semantic search against the entire palace. This is what fires when you or the AI explicitly asks a question.
|
||||||
|
|
||||||
|
```python
|
||||||
|
stack.search("why did we switch to GraphQL")
|
||||||
|
# → returns top-5 matching drawers with similarity scores
|
||||||
|
```
|
||||||
|
|
||||||
|
## Wake-Up Budget
|
||||||
|
|
||||||
|
The point of the stack is bounded startup context, not a fixed universal token count. The exact size depends on your identity file and what Layer 1 selects, but the implementation keeps wake-up meaningfully smaller than loading the full corpus into the prompt.
|
||||||
|
|
||||||
|
## Using the Stack
|
||||||
|
|
||||||
|
### CLI
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Wake-up context (L0 + L1)
|
||||||
|
mempalace wake-up
|
||||||
|
|
||||||
|
# Project-specific wake-up
|
||||||
|
mempalace wake-up --wing driftwood
|
||||||
|
```
|
||||||
|
|
||||||
|
### Python API
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.layers import MemoryStack
|
||||||
|
|
||||||
|
stack = MemoryStack()
|
||||||
|
|
||||||
|
# L0 + L1: wake-up (~600-900 tokens in typical use)
|
||||||
|
print(stack.wake_up())
|
||||||
|
|
||||||
|
# L2: on-demand recall
|
||||||
|
print(stack.recall(wing="myapp"))
|
||||||
|
|
||||||
|
# L3: deep search
|
||||||
|
print(stack.search("pricing change"))
|
||||||
|
|
||||||
|
# Status
|
||||||
|
print(stack.status())
|
||||||
|
```
|
||||||
@@ -0,0 +1,110 @@
|
|||||||
|
# The Palace
|
||||||
|
|
||||||
|
Ancient Greek orators memorized entire speeches by placing ideas in rooms of an imaginary building. Walk through the building, find the idea. MemPalace applies the same principle to AI memory.
|
||||||
|
|
||||||
|
## Structure
|
||||||
|
|
||||||
|
Your conversations are organized into a navigable hierarchy:
|
||||||
|
|
||||||
|
```mermaid
|
||||||
|
graph TD
|
||||||
|
subgraph wing_person["WING: Person"]
|
||||||
|
direction TB
|
||||||
|
RA["Room A"] -- hall --> RB["Room B"]
|
||||||
|
RA --> CA["Closet"]
|
||||||
|
CA --> DA["Drawer (verbatim)"]
|
||||||
|
end
|
||||||
|
|
||||||
|
subgraph wing_project["WING: Project"]
|
||||||
|
direction TB
|
||||||
|
RA2["Room A"] -- hall --> RC["Room C"]
|
||||||
|
RA2 --> CA2["Closet"]
|
||||||
|
CA2 --> DA2["Drawer (verbatim)"]
|
||||||
|
end
|
||||||
|
|
||||||
|
RA -.->|tunnel| RA2
|
||||||
|
|
||||||
|
style wing_person fill:#1e1b4b,stroke:#4f46e5,color:#e0e7ff
|
||||||
|
style wing_project fill:#164e63,stroke:#06b6d4,color:#cffafe
|
||||||
|
style RA fill:#312e81,stroke:#6366f1,color:#e0e7ff
|
||||||
|
style RB fill:#312e81,stroke:#6366f1,color:#e0e7ff
|
||||||
|
style CA fill:#3b0764,stroke:#8b5cf6,color:#f3e8ff
|
||||||
|
style DA fill:#0f766e,stroke:#14b8a6,color:#ccfbf1
|
||||||
|
style RA2 fill:#155e75,stroke:#22d3ee,color:#cffafe
|
||||||
|
style RC fill:#155e75,stroke:#22d3ee,color:#cffafe
|
||||||
|
style CA2 fill:#3b0764,stroke:#8b5cf6,color:#f3e8ff
|
||||||
|
style DA2 fill:#0f766e,stroke:#14b8a6,color:#ccfbf1
|
||||||
|
```
|
||||||
|
|
||||||
|
## Components
|
||||||
|
|
||||||
|
### Wings
|
||||||
|
|
||||||
|
A person or project. As many as you need.
|
||||||
|
|
||||||
|
Every project, person, or topic gets its own wing in the palace. Wings are the top-level organizational unit.
|
||||||
|
|
||||||
|
### Rooms
|
||||||
|
|
||||||
|
Specific topics within a wing. Examples: `auth-migration`, `graphql-switch`, `ci-pipeline`.
|
||||||
|
|
||||||
|
Rooms are named ideas. They're auto-detected from your folder structure during `mempalace init`, and you can create additional rooms manually.
|
||||||
|
|
||||||
|
### Halls
|
||||||
|
|
||||||
|
Halls are the conceptual categories that describe how related memories connect *within* a wing:
|
||||||
|
|
||||||
|
- `hall_facts` — decisions made, choices locked in
|
||||||
|
- `hall_events` — sessions, milestones, debugging
|
||||||
|
- `hall_discoveries` — breakthroughs, new insights
|
||||||
|
- `hall_preferences` — habits, likes, opinions
|
||||||
|
- `hall_advice` — recommendations and solutions
|
||||||
|
|
||||||
|
### Tunnels
|
||||||
|
|
||||||
|
Connections *between* wings. When the same room appears in different wings, the graph layer can treat that as a cross-wing connection.
|
||||||
|
|
||||||
|
```
|
||||||
|
wing_kai / hall_events / auth-migration → "Kai debugged the OAuth token refresh"
|
||||||
|
wing_driftwood / hall_facts / auth-migration → "team decided to migrate auth to Clerk"
|
||||||
|
wing_priya / hall_advice / auth-migration → "Priya approved Clerk over Auth0"
|
||||||
|
```
|
||||||
|
|
||||||
|
Same room. Three wings. The graph can use that shared room name as a bridge.
|
||||||
|
|
||||||
|
### Closets
|
||||||
|
|
||||||
|
Closets are the summary layer in the broader MemPalace vocabulary: compact notes that point back to the original content. In the current implementation, the main persisted storage path is still the underlying drawer text plus metadata.
|
||||||
|
|
||||||
|
### Drawers
|
||||||
|
|
||||||
|
The original stored text chunks. This is the primary retrieval layer used by the current search and benchmark flows.
|
||||||
|
|
||||||
|
## Why Structure Matters
|
||||||
|
|
||||||
|
Tested on 22,000+ real conversation memories:
|
||||||
|
|
||||||
|
| Search scope | R@10 | Improvement |
|
||||||
|
|-------------|------|-------------|
|
||||||
|
| All closets | 60.9% | baseline |
|
||||||
|
| Within wing | 73.1% | +12% |
|
||||||
|
| Wing + hall | 84.8% | +24% |
|
||||||
|
| Wing + room | 94.8% | +34% |
|
||||||
|
|
||||||
|
The practical point is that structure improves retrieval. In the project benchmarks, narrowing the search scope by wing and room outperformed searching the entire corpus at once.
|
||||||
|
|
||||||
|
## Navigation
|
||||||
|
|
||||||
|
The palace supports graph traversal across wings:
|
||||||
|
|
||||||
|
```text
|
||||||
|
MCP tool: mempalace_traverse
|
||||||
|
arguments: { "start_room": "auth-migration" }
|
||||||
|
→ discovers rooms in wing_kai, wing_driftwood, wing_priya
|
||||||
|
|
||||||
|
MCP tool: mempalace_find_tunnels
|
||||||
|
arguments: { "wing_a": "wing_code", "wing_b": "wing_team" }
|
||||||
|
→ auth-migration, deploy-process, ci-pipeline
|
||||||
|
```
|
||||||
|
|
||||||
|
This is the navigation story: shared room structure gives the model more than one way to reach relevant context.
|
||||||
@@ -0,0 +1,38 @@
|
|||||||
|
# Claude Code Plugin
|
||||||
|
|
||||||
|
The recommended way to use MemPalace with Claude Code — native marketplace install.
|
||||||
|
|
||||||
|
## Installation
|
||||||
|
|
||||||
|
```bash
|
||||||
|
claude plugin marketplace add milla-jovovich/mempalace
|
||||||
|
claude plugin install --scope user mempalace
|
||||||
|
```
|
||||||
|
|
||||||
|
Restart Claude Code, then type `/skills` to verify "mempalace" appears.
|
||||||
|
|
||||||
|
## How It Works
|
||||||
|
|
||||||
|
With the plugin installed, Claude Code automatically:
|
||||||
|
- Starts the MemPalace MCP server on launch
|
||||||
|
- Has access to all 19 tools
|
||||||
|
- Learns the AAAK dialect and memory protocol from the `mempalace_status` response
|
||||||
|
- Searches the palace before answering questions about past work
|
||||||
|
|
||||||
|
No manual configuration needed. Just ask:
|
||||||
|
|
||||||
|
> *"What did we decide about auth last month?"*
|
||||||
|
|
||||||
|
## Alternative: Manual MCP
|
||||||
|
|
||||||
|
If you prefer manual setup over the marketplace plugin:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
claude mcp add mempalace -- python -m mempalace.mcp_server
|
||||||
|
```
|
||||||
|
|
||||||
|
Both approaches give identical functionality. The plugin approach handles server lifecycle automatically.
|
||||||
|
|
||||||
|
## Hooks
|
||||||
|
|
||||||
|
Set up [auto-save hooks](/guide/hooks) to ensure memories are saved automatically during long conversations.
|
||||||
@@ -0,0 +1,85 @@
|
|||||||
|
# Configuration
|
||||||
|
|
||||||
|
## Global Config
|
||||||
|
|
||||||
|
Located at `~/.mempalace/config.json`:
|
||||||
|
|
||||||
|
```json
|
||||||
|
{
|
||||||
|
"palace_path": "/custom/path/to/palace",
|
||||||
|
"collection_name": "mempalace_drawers",
|
||||||
|
"people_map": {"Kai": "KAI", "Priya": "PRI"}
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
| Key | Default | Description |
|
||||||
|
|-----|---------|-------------|
|
||||||
|
| `palace_path` | `~/.mempalace/palace` | Where ChromaDB stores your drawers |
|
||||||
|
| `collection_name` | `mempalace_drawers` | ChromaDB collection name |
|
||||||
|
| `people_map` | `{}` | Entity name → AAAK code mappings |
|
||||||
|
|
||||||
|
## Project Config
|
||||||
|
|
||||||
|
Generated by `mempalace init` in your project directory:
|
||||||
|
|
||||||
|
### `mempalace.yaml`
|
||||||
|
|
||||||
|
```yaml
|
||||||
|
wing: myproject
|
||||||
|
rooms:
|
||||||
|
- backend
|
||||||
|
- frontend
|
||||||
|
- decisions
|
||||||
|
palace_path: ~/.mempalace/palace
|
||||||
|
```
|
||||||
|
|
||||||
|
### `entities.json`
|
||||||
|
|
||||||
|
```json
|
||||||
|
{
|
||||||
|
"Kai": "KAI",
|
||||||
|
"Priya": "PRI"
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
Wings are auto-detected during `mempalace init` from:
|
||||||
|
- Directory names → project wings
|
||||||
|
- Detected people in file content → person wings
|
||||||
|
- Explicit `--wing` flag on mine commands
|
||||||
|
|
||||||
|
## Identity
|
||||||
|
|
||||||
|
Located at `~/.mempalace/identity.txt`. Plain text. Becomes Layer 0 — loaded every session.
|
||||||
|
|
||||||
|
```text
|
||||||
|
I am Atlas, a personal AI assistant for Alice.
|
||||||
|
Traits: warm, direct, remembers everything.
|
||||||
|
People: Alice (creator), Bob (Alice's partner).
|
||||||
|
Project: A journaling app that helps people process emotions.
|
||||||
|
```
|
||||||
|
|
||||||
|
::: tip
|
||||||
|
Write your identity file in first person from the AI's perspective. This becomes the AI's self-concept on wake-up.
|
||||||
|
:::
|
||||||
|
|
||||||
|
## Palace Path Override
|
||||||
|
|
||||||
|
All commands accept `--palace <path>` to override the default location:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace search "query" --palace /tmp/test-palace
|
||||||
|
mempalace mine ~/data/ --palace /tmp/test-palace
|
||||||
|
```
|
||||||
|
|
||||||
|
The MCP server also accepts `--palace`:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python -m mempalace.mcp_server --palace /custom/palace
|
||||||
|
```
|
||||||
|
|
||||||
|
## Environment Variables
|
||||||
|
|
||||||
|
| Variable | Description |
|
||||||
|
|----------|-------------|
|
||||||
|
| `MEMPALACE_PALACE_PATH` | Override palace path (same as `--palace`) |
|
||||||
|
| `MEMPAL_DIR` | Directory for auto-mining in hooks |
|
||||||
@@ -0,0 +1,96 @@
|
|||||||
|
# Gemini CLI
|
||||||
|
|
||||||
|
MemPalace works natively with [Gemini CLI](https://github.com/google/gemini-cli), which handles the MCP server and save hooks automatically.
|
||||||
|
|
||||||
|
## Prerequisites
|
||||||
|
|
||||||
|
- Python 3.9+
|
||||||
|
- Gemini CLI installed and configured
|
||||||
|
|
||||||
|
## Installation
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Clone the repository
|
||||||
|
git clone https://github.com/milla-jovovich/mempalace.git
|
||||||
|
cd mempalace
|
||||||
|
|
||||||
|
# Create a virtual environment
|
||||||
|
python3 -m venv .venv
|
||||||
|
|
||||||
|
# Install dependencies
|
||||||
|
.venv/bin/pip install -e .
|
||||||
|
```
|
||||||
|
|
||||||
|
## Initialize the Palace
|
||||||
|
|
||||||
|
```bash
|
||||||
|
.venv/bin/python3 -m mempalace init .
|
||||||
|
```
|
||||||
|
|
||||||
|
### Identity and Project Configuration (Optional)
|
||||||
|
|
||||||
|
You can optionally create or edit:
|
||||||
|
|
||||||
|
- **`~/.mempalace/identity.txt`** — plain text describing your role and focus
|
||||||
|
- **`./mempalace.yaml`** — per-project MemPalace configuration created by `mempalace init`
|
||||||
|
- **`./entities.json`** — per-project entity mappings used by AAAK compression
|
||||||
|
|
||||||
|
## Connect to Gemini CLI
|
||||||
|
|
||||||
|
Register MemPalace as an MCP server:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
gemini mcp add mempalace /absolute/path/to/mempalace/.venv/bin/python3 \
|
||||||
|
-m mempalace.mcp_server --scope user
|
||||||
|
```
|
||||||
|
|
||||||
|
::: warning
|
||||||
|
Use the **absolute path** to the Python binary to ensure it works from any directory.
|
||||||
|
:::
|
||||||
|
|
||||||
|
## Enable Auto-Saving
|
||||||
|
|
||||||
|
Add a `PreCompress` hook to `~/.gemini/settings.json`:
|
||||||
|
|
||||||
|
```json
|
||||||
|
{
|
||||||
|
"hooks": {
|
||||||
|
"PreCompress": [
|
||||||
|
{
|
||||||
|
"matcher": "*",
|
||||||
|
"hooks": [
|
||||||
|
{
|
||||||
|
"type": "command",
|
||||||
|
"command": "/absolute/path/to/mempalace/hooks/mempal_precompact_hook.sh"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
Make sure the hook scripts are executable:
|
||||||
|
```bash
|
||||||
|
chmod +x hooks/*.sh
|
||||||
|
```
|
||||||
|
|
||||||
|
## Usage
|
||||||
|
|
||||||
|
Once connected, Gemini CLI will automatically:
|
||||||
|
- Start the MemPalace server on launch
|
||||||
|
- Use `mempalace_search` to find relevant past discussions
|
||||||
|
- Use the `PreCompress` hook to save memories before context compression
|
||||||
|
|
||||||
|
### Manual Mining
|
||||||
|
|
||||||
|
Mine existing code or docs:
|
||||||
|
```bash
|
||||||
|
.venv/bin/python3 -m mempalace mine /path/to/your/project
|
||||||
|
```
|
||||||
|
|
||||||
|
### Verification
|
||||||
|
|
||||||
|
In a Gemini CLI session:
|
||||||
|
- `/mcp list` — verify `mempalace` is `CONNECTED`
|
||||||
|
- `/hooks panel` — verify the `PreCompress` hook is active
|
||||||
@@ -0,0 +1,82 @@
|
|||||||
|
# Getting Started
|
||||||
|
|
||||||
|
## Installation
|
||||||
|
|
||||||
|
Install MemPalace from PyPI:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
pip install mempalace
|
||||||
|
```
|
||||||
|
|
||||||
|
### Requirements
|
||||||
|
|
||||||
|
- Python 3.9+
|
||||||
|
- `chromadb>=0.5.0` (installed automatically)
|
||||||
|
- `pyyaml>=6.0` (installed automatically)
|
||||||
|
|
||||||
|
No API key required for the core local workflow. After installation, the main storage and retrieval path runs locally.
|
||||||
|
|
||||||
|
### From Source
|
||||||
|
|
||||||
|
```bash
|
||||||
|
git clone https://github.com/milla-jovovich/mempalace.git
|
||||||
|
cd mempalace
|
||||||
|
pip install -e ".[dev]"
|
||||||
|
```
|
||||||
|
|
||||||
|
## Quick Start
|
||||||
|
|
||||||
|
Three steps: **init**, **mine**, **search**.
|
||||||
|
|
||||||
|
### 1. Initialize Your Palace
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace init ~/projects/myapp
|
||||||
|
```
|
||||||
|
|
||||||
|
This scans your project directory and:
|
||||||
|
- Detects people and projects from file content
|
||||||
|
- Creates rooms from your folder structure
|
||||||
|
- Sets up `~/.mempalace/` config directory
|
||||||
|
|
||||||
|
### 2. Mine Your Data
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Mine project files (code, docs, notes)
|
||||||
|
mempalace mine ~/projects/myapp
|
||||||
|
|
||||||
|
# Mine conversation exports (Claude, ChatGPT, Slack)
|
||||||
|
mempalace mine ~/chats/ --mode convos
|
||||||
|
|
||||||
|
# Mine with auto-classification into memory types
|
||||||
|
mempalace mine ~/chats/ --mode convos --extract general
|
||||||
|
```
|
||||||
|
|
||||||
|
Two mining modes plus one extraction strategy:
|
||||||
|
- **projects** — code and docs, auto-detected rooms
|
||||||
|
- **convos** — conversation exports, chunked by exchange pair
|
||||||
|
- **general extraction** — an `--extract general` option for conversation mining that classifies content into decisions, preferences, milestones, problems, and emotional context
|
||||||
|
|
||||||
|
### 3. Search
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace search "why did we switch to GraphQL"
|
||||||
|
```
|
||||||
|
|
||||||
|
That gives you a working local memory index.
|
||||||
|
|
||||||
|
## What Happens Next
|
||||||
|
|
||||||
|
After the one-time setup, you don't run MemPalace commands manually. Your AI uses it for you through [MCP integration](/guide/mcp-integration) or a [Claude Code plugin](/guide/claude-code).
|
||||||
|
|
||||||
|
Ask your AI anything:
|
||||||
|
|
||||||
|
> *"What did we decide about auth last month?"*
|
||||||
|
|
||||||
|
It calls `mempalace_search` automatically, gets verbatim results, and answers you. You never type `mempalace search` again.
|
||||||
|
|
||||||
|
## Next Steps
|
||||||
|
|
||||||
|
- [Mining Your Data](/guide/mining) — deep dive into mining modes
|
||||||
|
- [MCP Integration](/guide/mcp-integration) — connect to Claude, ChatGPT, Cursor, Gemini
|
||||||
|
- [The Palace](/concepts/the-palace) — understand wings, rooms, halls, and tunnels
|
||||||
@@ -0,0 +1,116 @@
|
|||||||
|
# Auto-Save Hooks
|
||||||
|
|
||||||
|
Two hooks for Claude Code and Codex that automatically save memories during work. No manual "save" commands needed.
|
||||||
|
|
||||||
|
## What They Do
|
||||||
|
|
||||||
|
| Hook | When It Fires | What Happens |
|
||||||
|
|------|--------------|-------------|
|
||||||
|
| **Save Hook** | Every 15 human messages | Blocks the AI, tells it to save key topics/decisions/quotes to the palace |
|
||||||
|
| **PreCompact Hook** | Right before context compaction | Emergency save — forces the AI to save everything before losing context |
|
||||||
|
|
||||||
|
The AI does the actual filing — it knows the conversation context, so it classifies memories into the right wings/halls/closets. The hooks just tell it **when** to save.
|
||||||
|
|
||||||
|
## Install — Claude Code
|
||||||
|
|
||||||
|
Add to `.claude/settings.local.json`:
|
||||||
|
|
||||||
|
```json
|
||||||
|
{
|
||||||
|
"hooks": {
|
||||||
|
"Stop": [{
|
||||||
|
"matcher": "*",
|
||||||
|
"hooks": [{
|
||||||
|
"type": "command",
|
||||||
|
"command": "/absolute/path/to/hooks/mempal_save_hook.sh",
|
||||||
|
"timeout": 30
|
||||||
|
}]
|
||||||
|
}],
|
||||||
|
"PreCompact": [{
|
||||||
|
"hooks": [{
|
||||||
|
"type": "command",
|
||||||
|
"command": "/absolute/path/to/hooks/mempal_precompact_hook.sh",
|
||||||
|
"timeout": 30
|
||||||
|
}]
|
||||||
|
}]
|
||||||
|
}
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
Make them executable:
|
||||||
|
```bash
|
||||||
|
chmod +x hooks/mempal_save_hook.sh hooks/mempal_precompact_hook.sh
|
||||||
|
```
|
||||||
|
|
||||||
|
## Install — Codex CLI
|
||||||
|
|
||||||
|
Add to `.codex/hooks.json`:
|
||||||
|
|
||||||
|
```json
|
||||||
|
{
|
||||||
|
"Stop": [{
|
||||||
|
"type": "command",
|
||||||
|
"command": "/absolute/path/to/hooks/mempal_save_hook.sh",
|
||||||
|
"timeout": 30
|
||||||
|
}],
|
||||||
|
"PreCompact": [{
|
||||||
|
"type": "command",
|
||||||
|
"command": "/absolute/path/to/hooks/mempal_precompact_hook.sh",
|
||||||
|
"timeout": 30
|
||||||
|
}]
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
## Configuration
|
||||||
|
|
||||||
|
Edit `mempal_save_hook.sh` to change:
|
||||||
|
|
||||||
|
- **`SAVE_INTERVAL=15`** — How many messages between saves. Lower = more frequent, higher = less interruption.
|
||||||
|
- **`STATE_DIR`** — Where hook state is stored (defaults to `~/.mempalace/hook_state/`)
|
||||||
|
- **`MEMPAL_DIR`** — Optional. Set to a conversations directory to auto-run `mempalace mine` on each save trigger.
|
||||||
|
|
||||||
|
## How It Works
|
||||||
|
|
||||||
|
### Save Hook (Stop event)
|
||||||
|
|
||||||
|
```
|
||||||
|
User sends message → AI responds → Stop hook fires
|
||||||
|
↓
|
||||||
|
Count human messages in transcript
|
||||||
|
↓
|
||||||
|
┌── < 15 since last save → let AI stop
|
||||||
|
│
|
||||||
|
└── ≥ 15 since last save → block + save
|
||||||
|
↓
|
||||||
|
AI saves to palace
|
||||||
|
↓
|
||||||
|
AI stops (flag set)
|
||||||
|
```
|
||||||
|
|
||||||
|
The `stop_hook_active` flag prevents infinite loops.
|
||||||
|
|
||||||
|
### PreCompact Hook
|
||||||
|
|
||||||
|
```
|
||||||
|
Context window full → PreCompact fires → ALWAYS blocks → AI saves → Compaction proceeds
|
||||||
|
```
|
||||||
|
|
||||||
|
No counting needed — compaction always warrants a save.
|
||||||
|
|
||||||
|
## Debugging
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cat ~/.mempalace/hook_state/hook.log
|
||||||
|
```
|
||||||
|
|
||||||
|
Example output:
|
||||||
|
```
|
||||||
|
[14:30:15] Session abc123: 12 exchanges, 12 since last save
|
||||||
|
[14:35:22] Session abc123: 15 exchanges, 15 since last save
|
||||||
|
[14:35:22] TRIGGERING SAVE at exchange 15
|
||||||
|
[14:40:01] Session abc123: 18 exchanges, 3 since last save
|
||||||
|
```
|
||||||
|
|
||||||
|
## Cost
|
||||||
|
|
||||||
|
**Zero extra tokens.** The hooks are bash scripts that run locally. They don't call any API. The only "cost" is a few seconds of the AI organizing memories at each checkpoint.
|
||||||
@@ -0,0 +1,70 @@
|
|||||||
|
# Local Models
|
||||||
|
|
||||||
|
MemPalace works with any local LLM — Llama, Mistral, or any offline model. Since local models generally don't speak MCP yet, there are two approaches.
|
||||||
|
|
||||||
|
## Wake-Up Command
|
||||||
|
|
||||||
|
Load your world into the model's context:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace wake-up > context.txt
|
||||||
|
# Paste context.txt into your local model's system prompt
|
||||||
|
```
|
||||||
|
|
||||||
|
This gives your local model a bounded wake-up context, typically around **~600-900 tokens** in the current implementation. It includes:
|
||||||
|
- **Layer 0**: Your identity — who you are, what you work on
|
||||||
|
- **Layer 1**: Top moments from the palace — key decisions, recent work
|
||||||
|
|
||||||
|
For project-specific context:
|
||||||
|
```bash
|
||||||
|
mempalace wake-up --wing driftwood > context.txt
|
||||||
|
```
|
||||||
|
|
||||||
|
## CLI Search
|
||||||
|
|
||||||
|
Query on demand, feed results into your prompt:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace search "auth decisions" > results.txt
|
||||||
|
# Include results.txt in your prompt
|
||||||
|
```
|
||||||
|
|
||||||
|
## Python API
|
||||||
|
|
||||||
|
For programmatic integration with your local model pipeline:
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.searcher import search_memories
|
||||||
|
|
||||||
|
results = search_memories(
|
||||||
|
"auth decisions",
|
||||||
|
palace_path="~/.mempalace/palace",
|
||||||
|
)
|
||||||
|
|
||||||
|
# Format results for your model's context
|
||||||
|
context = "\n".join(
|
||||||
|
f"[{r['wing']}/{r['room']}] {r['text']}"
|
||||||
|
for r in results["results"]
|
||||||
|
)
|
||||||
|
|
||||||
|
# Inject into your local model's prompt
|
||||||
|
prompt = f"Context from memory:\n{context}\n\nUser: What did we decide about auth?"
|
||||||
|
```
|
||||||
|
|
||||||
|
## AAAK for Compression
|
||||||
|
|
||||||
|
Use [AAAK dialect](/concepts/aaak-dialect) to compress wake-up context further:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace compress --wing myapp --dry-run
|
||||||
|
```
|
||||||
|
|
||||||
|
AAAK is readable by any LLM that reads text — Claude, GPT, Gemini, Llama, Mistral — without a decoder.
|
||||||
|
|
||||||
|
## Full Offline Stack
|
||||||
|
|
||||||
|
The core memory stack can run offline:
|
||||||
|
- **ChromaDB** on your machine — vector storage and search
|
||||||
|
- **Local model** on your machine — reasoning and responses
|
||||||
|
- **AAAK** for compression — optional, no cloud dependency
|
||||||
|
- **Optional reranking or external model integrations** may introduce cloud calls, depending on how you configure the system
|
||||||
@@ -0,0 +1,92 @@
|
|||||||
|
# MCP Integration
|
||||||
|
|
||||||
|
MemPalace provides 19 tools through the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/), giving any MCP-compatible AI full read/write access to your palace.
|
||||||
|
|
||||||
|
## Setup
|
||||||
|
|
||||||
|
### Manual Connection
|
||||||
|
|
||||||
|
```bash
|
||||||
|
claude mcp add mempalace -- python -m mempalace.mcp_server
|
||||||
|
```
|
||||||
|
|
||||||
|
### With Custom Palace Path
|
||||||
|
|
||||||
|
```bash
|
||||||
|
claude mcp add mempalace -- python -m mempalace.mcp_server --palace /path/to/palace
|
||||||
|
```
|
||||||
|
|
||||||
|
Now your AI has all 19 tools available. Ask it anything:
|
||||||
|
|
||||||
|
> *"What did we decide about auth last month?"*
|
||||||
|
|
||||||
|
Claude calls `mempalace_search` automatically, gets verbatim results, and answers you.
|
||||||
|
|
||||||
|
## Compatible Tools
|
||||||
|
|
||||||
|
MemPalace works with any tool that supports MCP:
|
||||||
|
|
||||||
|
- **Claude Code** — native via plugin or manual MCP
|
||||||
|
- **ChatGPT** — via MCP bridge
|
||||||
|
- **Cursor** — native MCP support
|
||||||
|
- **Gemini CLI** — see [Gemini CLI guide](/guide/gemini-cli)
|
||||||
|
|
||||||
|
## Memory Protocol
|
||||||
|
|
||||||
|
When the AI first calls `mempalace_status`, it receives the **Memory Protocol** — a behavior guide that teaches it to:
|
||||||
|
|
||||||
|
1. **On wake-up**: Call `mempalace_status` to load the palace overview
|
||||||
|
2. **Before responding** about any person, project, or past event: search first, never guess
|
||||||
|
3. **If unsure**: Say "let me check" and query the palace
|
||||||
|
4. **After each session**: Write diary entries to record what happened
|
||||||
|
5. **When facts change**: Invalidate old facts, add new ones
|
||||||
|
|
||||||
|
This protocol is what turns storage into memory — the AI knows to verify before speaking.
|
||||||
|
|
||||||
|
## Tool Overview
|
||||||
|
|
||||||
|
### Palace (read)
|
||||||
|
|
||||||
|
| Tool | What |
|
||||||
|
|------|------|
|
||||||
|
| `mempalace_status` | Palace overview + AAAK spec + memory protocol |
|
||||||
|
| `mempalace_list_wings` | Wings with counts |
|
||||||
|
| `mempalace_list_rooms` | Rooms within a wing |
|
||||||
|
| `mempalace_get_taxonomy` | Full wing → room → count tree |
|
||||||
|
| `mempalace_search` | Semantic search with wing/room filters |
|
||||||
|
| `mempalace_check_duplicate` | Check before filing |
|
||||||
|
| `mempalace_get_aaak_spec` | AAAK dialect reference |
|
||||||
|
|
||||||
|
### Palace (write)
|
||||||
|
|
||||||
|
| Tool | What |
|
||||||
|
|------|------|
|
||||||
|
| `mempalace_add_drawer` | File verbatim content |
|
||||||
|
| `mempalace_delete_drawer` | Remove by ID |
|
||||||
|
|
||||||
|
### Knowledge Graph
|
||||||
|
|
||||||
|
| Tool | What |
|
||||||
|
|------|------|
|
||||||
|
| `mempalace_kg_query` | Entity relationships with time filtering |
|
||||||
|
| `mempalace_kg_add` | Add facts |
|
||||||
|
| `mempalace_kg_invalidate` | Mark facts as ended |
|
||||||
|
| `mempalace_kg_timeline` | Chronological entity story |
|
||||||
|
| `mempalace_kg_stats` | Graph overview |
|
||||||
|
|
||||||
|
### Navigation
|
||||||
|
|
||||||
|
| Tool | What |
|
||||||
|
|------|------|
|
||||||
|
| `mempalace_traverse` | Walk the graph from a room across wings |
|
||||||
|
| `mempalace_find_tunnels` | Find rooms bridging two wings |
|
||||||
|
| `mempalace_graph_stats` | Graph connectivity overview |
|
||||||
|
|
||||||
|
### Agent Diary
|
||||||
|
|
||||||
|
| Tool | What |
|
||||||
|
|------|------|
|
||||||
|
| `mempalace_diary_write` | Write AAAK diary entry |
|
||||||
|
| `mempalace_diary_read` | Read recent diary entries |
|
||||||
|
|
||||||
|
For detailed schemas and parameters, see [MCP Tools Reference](/reference/mcp-tools).
|
||||||
@@ -0,0 +1,134 @@
|
|||||||
|
# Mining Your Data
|
||||||
|
|
||||||
|
MemPalace ingests your data by **mining** — scanning files and filing their content as verbatim drawers in the palace.
|
||||||
|
|
||||||
|
## Mining Modes
|
||||||
|
|
||||||
|
### Projects Mode (default)
|
||||||
|
|
||||||
|
Scans code, docs, and notes. Respects `.gitignore` by default.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace mine ~/projects/myapp
|
||||||
|
```
|
||||||
|
|
||||||
|
Each file becomes a drawer, tagged with a wing (project name) and room (topic). Rooms are auto-detected from your folder structure during `mempalace init`.
|
||||||
|
|
||||||
|
Options:
|
||||||
|
```bash
|
||||||
|
# Override wing name
|
||||||
|
mempalace mine ~/projects/myapp --wing myapp
|
||||||
|
|
||||||
|
# Ignore .gitignore rules
|
||||||
|
mempalace mine ~/projects/myapp --no-gitignore
|
||||||
|
|
||||||
|
# Include specific ignored paths
|
||||||
|
mempalace mine ~/projects/myapp --include-ignored dist,build
|
||||||
|
|
||||||
|
# Limit number of files
|
||||||
|
mempalace mine ~/projects/myapp --limit 100
|
||||||
|
|
||||||
|
# Preview without filing
|
||||||
|
mempalace mine ~/projects/myapp --dry-run
|
||||||
|
```
|
||||||
|
|
||||||
|
### Conversations Mode
|
||||||
|
|
||||||
|
Indexes conversation exports from Claude, ChatGPT, Slack, and other tools. Chunks by exchange pair (human + assistant turns).
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace mine ~/chats/ --mode convos
|
||||||
|
```
|
||||||
|
|
||||||
|
Supports five chat formats automatically:
|
||||||
|
- Claude JSON exports
|
||||||
|
- ChatGPT exports
|
||||||
|
- Slack exports
|
||||||
|
- Markdown conversations
|
||||||
|
- Plain text transcripts
|
||||||
|
|
||||||
|
### General Extraction
|
||||||
|
|
||||||
|
Auto-classifies conversation content into five memory types:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace mine ~/chats/ --mode convos --extract general
|
||||||
|
```
|
||||||
|
|
||||||
|
Memory types:
|
||||||
|
- **Decisions** — choices made, options rejected
|
||||||
|
- **Preferences** — habits, likes, opinions
|
||||||
|
- **Milestones** — sessions completed, goals reached
|
||||||
|
- **Problems** — bugs, blockers, issues encountered
|
||||||
|
- **Emotional context** — reactions, concerns, excitement
|
||||||
|
|
||||||
|
## Splitting Mega-Files
|
||||||
|
|
||||||
|
Some transcript exports concatenate multiple sessions into one huge file. Split them first:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Preview what would be split
|
||||||
|
mempalace split ~/chats/ --dry-run
|
||||||
|
|
||||||
|
# Split files with 2+ sessions (default)
|
||||||
|
mempalace split ~/chats/
|
||||||
|
|
||||||
|
# Only split files with 3+ sessions
|
||||||
|
mempalace split ~/chats/ --min-sessions 3
|
||||||
|
|
||||||
|
# Output to a different directory
|
||||||
|
mempalace split ~/chats/ --output-dir ~/chats-split/
|
||||||
|
```
|
||||||
|
|
||||||
|
::: tip
|
||||||
|
Always run `mempalace split` before mining conversation files. It's a no-op if files don't need splitting.
|
||||||
|
:::
|
||||||
|
|
||||||
|
## Multi-Project Setup
|
||||||
|
|
||||||
|
Mine each project into its own wing:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace mine ~/chats/orion/ --mode convos --wing orion
|
||||||
|
mempalace mine ~/chats/nova/ --mode convos --wing nova
|
||||||
|
mempalace mine ~/chats/helios/ --mode convos --wing helios
|
||||||
|
```
|
||||||
|
|
||||||
|
Six months later:
|
||||||
|
```bash
|
||||||
|
# Project-specific search
|
||||||
|
mempalace search "database decision" --wing orion
|
||||||
|
|
||||||
|
# Cross-project search
|
||||||
|
mempalace search "rate limiting approach"
|
||||||
|
# → finds your approach in Orion AND Nova, shows the differences
|
||||||
|
```
|
||||||
|
|
||||||
|
## Team Usage
|
||||||
|
|
||||||
|
Mine Slack exports and AI conversations for team history:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace mine ~/exports/slack/ --mode convos --wing driftwood
|
||||||
|
mempalace mine ~/.claude/projects/ --mode convos
|
||||||
|
```
|
||||||
|
|
||||||
|
Then search across people and projects:
|
||||||
|
```bash
|
||||||
|
mempalace search "Soren sprint" --wing driftwood
|
||||||
|
# → 14 closets: OAuth refactor, dark mode, component library migration
|
||||||
|
```
|
||||||
|
|
||||||
|
## Agent Tag
|
||||||
|
|
||||||
|
Every drawer is tagged with the agent that filed it:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Default agent name
|
||||||
|
mempalace mine ~/data/ --agent mempalace
|
||||||
|
|
||||||
|
# Custom agent name
|
||||||
|
mempalace mine ~/data/ --agent reviewer
|
||||||
|
```
|
||||||
|
|
||||||
|
This is used by [Specialist Agents](/concepts/agents) to partition memories.
|
||||||
@@ -0,0 +1,107 @@
|
|||||||
|
# Searching Memories
|
||||||
|
|
||||||
|
MemPalace uses ChromaDB's semantic vector search to find relevant memories. When you search, you get **verbatim text** — the exact words, never summaries.
|
||||||
|
|
||||||
|
## CLI Search
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Search everything
|
||||||
|
mempalace search "why did we switch to GraphQL"
|
||||||
|
|
||||||
|
# Filter by wing (project)
|
||||||
|
mempalace search "database decision" --wing myapp
|
||||||
|
|
||||||
|
# Filter by room (topic)
|
||||||
|
mempalace search "auth decisions" --room auth-migration
|
||||||
|
|
||||||
|
# Filter by both
|
||||||
|
mempalace search "pricing" --wing driftwood --room costs
|
||||||
|
|
||||||
|
# More results
|
||||||
|
mempalace search "deploy process" --results 10
|
||||||
|
```
|
||||||
|
|
||||||
|
## How Search Works
|
||||||
|
|
||||||
|
1. Your query is embedded using ChromaDB's default model (`all-MiniLM-L6-v2`)
|
||||||
|
2. The embedding is compared against all drawers using cosine similarity
|
||||||
|
3. Optional wing/room filters narrow the search scope
|
||||||
|
4. Results are returned with similarity scores and source metadata
|
||||||
|
|
||||||
|
### Why Structure Matters
|
||||||
|
|
||||||
|
Tested on 22,000+ real conversation memories:
|
||||||
|
|
||||||
|
```
|
||||||
|
Search all closets: 60.9% R@10
|
||||||
|
Search within wing: 73.1% (+12%)
|
||||||
|
Search wing + hall: 84.8% (+24%)
|
||||||
|
Search wing + room: 94.8% (+34%)
|
||||||
|
```
|
||||||
|
|
||||||
|
Wings and rooms aren't cosmetic — they're a **34% retrieval improvement**.
|
||||||
|
|
||||||
|
## Programmatic Search
|
||||||
|
|
||||||
|
Use the Python API for integration:
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.searcher import search_memories
|
||||||
|
|
||||||
|
results = search_memories(
|
||||||
|
query="auth decisions",
|
||||||
|
palace_path="~/.mempalace/palace",
|
||||||
|
wing="myapp",
|
||||||
|
room="auth",
|
||||||
|
n_results=5,
|
||||||
|
)
|
||||||
|
|
||||||
|
for hit in results["results"]:
|
||||||
|
print(f"[{hit['similarity']}] {hit['wing']}/{hit['room']}")
|
||||||
|
print(f" {hit['text'][:200]}")
|
||||||
|
```
|
||||||
|
|
||||||
|
The `search_memories()` function returns a dict:
|
||||||
|
|
||||||
|
```python
|
||||||
|
{
|
||||||
|
"query": "auth decisions",
|
||||||
|
"filters": {"wing": "myapp", "room": "auth"},
|
||||||
|
"results": [
|
||||||
|
{
|
||||||
|
"text": "We decided to migrate auth to Clerk because...",
|
||||||
|
"wing": "myapp",
|
||||||
|
"room": "auth-migration",
|
||||||
|
"source_file": "session_2026-01-15.md",
|
||||||
|
"similarity": 0.892,
|
||||||
|
},
|
||||||
|
# ...
|
||||||
|
],
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
## MCP Search
|
||||||
|
|
||||||
|
When connected via MCP, your AI searches automatically:
|
||||||
|
|
||||||
|
> *"What did we decide about auth last month?"*
|
||||||
|
|
||||||
|
The AI calls `mempalace_search` behind the scenes. You never type a search command.
|
||||||
|
|
||||||
|
See [MCP Integration](/guide/mcp-integration) for setup.
|
||||||
|
|
||||||
|
## Wake-Up Context
|
||||||
|
|
||||||
|
Instead of searching, you can load a compact context of your world:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Load identity + top memories (~600-900 tokens in typical use)
|
||||||
|
mempalace wake-up
|
||||||
|
|
||||||
|
# Project-specific context
|
||||||
|
mempalace wake-up --wing driftwood
|
||||||
|
```
|
||||||
|
|
||||||
|
This loads Layer 0 (identity) and Layer 1 (essential story) as bounded startup context before the first retrieval call.
|
||||||
|
|
||||||
|
See [Memory Stack](/concepts/memory-stack) for details on the 4-layer architecture.
|
||||||
@@ -0,0 +1,87 @@
|
|||||||
|
---
|
||||||
|
layout: home
|
||||||
|
|
||||||
|
hero:
|
||||||
|
name: MemPalace
|
||||||
|
text: Give your AI a memory.
|
||||||
|
tagline: "96.6% recall on LongMemEval in raw mode. Local-first, open source, and usable without an API key."
|
||||||
|
image:
|
||||||
|
src: /mempalace_logo.png
|
||||||
|
alt: MemPalace
|
||||||
|
actions:
|
||||||
|
- theme: brand
|
||||||
|
text: Get Started
|
||||||
|
link: /guide/getting-started
|
||||||
|
- theme: alt
|
||||||
|
text: Architecture →
|
||||||
|
link: /concepts/the-palace
|
||||||
|
- theme: alt
|
||||||
|
text: GitHub ↗
|
||||||
|
link: https://github.com/milla-jovovich/mempalace
|
||||||
|
|
||||||
|
features:
|
||||||
|
- icon:
|
||||||
|
src: /icons/file-text.svg
|
||||||
|
alt: Verbatim Storage
|
||||||
|
title: Verbatim Storage
|
||||||
|
details: Store source text directly instead of extracting facts up front. The raw benchmark result comes from retrieving verbatim content.
|
||||||
|
- icon:
|
||||||
|
src: /icons/building-2.svg
|
||||||
|
alt: Palace Structure
|
||||||
|
title: Palace Structure
|
||||||
|
details: Wings and rooms give retrieval useful structure. In the project benchmarks, narrowing search scope outperformed flat search.
|
||||||
|
- icon:
|
||||||
|
src: /icons/search.svg
|
||||||
|
alt: Semantic Search
|
||||||
|
title: Semantic Search
|
||||||
|
details: ChromaDB-powered vector search lets the model retrieve past discussions by topic, project, or room.
|
||||||
|
- icon:
|
||||||
|
src: /icons/git-merge.svg
|
||||||
|
alt: Knowledge Graph
|
||||||
|
title: Knowledge Graph
|
||||||
|
details: Temporal entity-relationship triples in SQLite. Facts can be added, queried, and invalidated over time.
|
||||||
|
- icon:
|
||||||
|
src: /icons/wrench.svg
|
||||||
|
alt: 19 MCP Tools
|
||||||
|
title: 19 MCP Tools
|
||||||
|
details: MCP tools expose search, filing, knowledge graph, graph navigation, and diary operations to compatible clients.
|
||||||
|
- icon:
|
||||||
|
src: /icons/shield-check.svg
|
||||||
|
alt: Zero Cloud
|
||||||
|
title: Zero Cloud
|
||||||
|
details: Core storage and retrieval run locally on ChromaDB and SQLite. Optional reranking features can add an API dependency.
|
||||||
|
---
|
||||||
|
|
||||||
|
<style>
|
||||||
|
:root {
|
||||||
|
--vp-home-hero-name-color: transparent;
|
||||||
|
--vp-home-hero-name-background: linear-gradient(
|
||||||
|
135deg,
|
||||||
|
#4f46e5 0%,
|
||||||
|
#06b6d4 50%,
|
||||||
|
#8b5cf6 100%
|
||||||
|
);
|
||||||
|
}
|
||||||
|
</style>
|
||||||
|
|
||||||
|
<div style="max-width: 688px; margin: 0 auto; padding: 48px 24px 0;">
|
||||||
|
|
||||||
|
## Verbatim Retrieval First
|
||||||
|
|
||||||
|
MemPalace starts from a simple premise: **store the source text and retrieve it well**. The benchmarked raw mode does not require an LLM extraction step.
|
||||||
|
|
||||||
|
| System | LongMemEval R@5 | API Required | Cost |
|
||||||
|
|--------|----------------|--------------|------|
|
||||||
|
| **MemPalace (hybrid)** | **100%** | Optional | Free |
|
||||||
|
| Supermemory ASMR | ~99% | Yes | — |
|
||||||
|
| **MemPalace (raw)** | **96.6%** | **None** | **Free** |
|
||||||
|
| Mastra | 94.87% | Yes | API costs |
|
||||||
|
| Mem0 | ~85% | Yes | $19–249/mo |
|
||||||
|
|
||||||
|
The raw 96.6% LongMemEval result is the baseline story: strong recall without requiring an API key or an LLM in the retrieval pipeline.
|
||||||
|
|
||||||
|
<div style="text-align: center; padding-top: 16px;">
|
||||||
|
<a href="./reference/benchmarks" style="color: var(--vp-c-brand-1); font-weight: 500;">Full benchmark results →</a>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
</div>
|
||||||
@@ -0,0 +1,17 @@
|
|||||||
|
{
|
||||||
|
"name": "mempalace-docs",
|
||||||
|
"private": true,
|
||||||
|
"type": "module",
|
||||||
|
"scripts": {
|
||||||
|
"docs:dev": "vitepress dev",
|
||||||
|
"docs:build": "vitepress build",
|
||||||
|
"docs:preview": "vitepress preview"
|
||||||
|
},
|
||||||
|
"devDependencies": {
|
||||||
|
"@lucide/vue": "^1.8.0",
|
||||||
|
"mermaid": "^11.14.0",
|
||||||
|
"vitepress": "^1.6.4",
|
||||||
|
"vitepress-plugin-mermaid": "^2.0.17",
|
||||||
|
"vue": "^3.5.32"
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,21 @@
|
|||||||
|
<!-- @license lucide-static v0.468.0 - ISC -->
|
||||||
|
<svg
|
||||||
|
class="lucide lucide-building-2"
|
||||||
|
xmlns="http://www.w3.org/2000/svg"
|
||||||
|
width="24"
|
||||||
|
height="24"
|
||||||
|
viewBox="0 0 24 24"
|
||||||
|
fill="none"
|
||||||
|
stroke="#06b6d4"
|
||||||
|
stroke-width="2"
|
||||||
|
stroke-linecap="round"
|
||||||
|
stroke-linejoin="round"
|
||||||
|
>
|
||||||
|
<path d="M6 22V4a2 2 0 0 1 2-2h8a2 2 0 0 1 2 2v18Z" />
|
||||||
|
<path d="M6 12H4a2 2 0 0 0-2 2v6a2 2 0 0 0 2 2h2" />
|
||||||
|
<path d="M18 9h2a2 2 0 0 1 2 2v9a2 2 0 0 1-2 2h-2" />
|
||||||
|
<path d="M10 6h4" />
|
||||||
|
<path d="M10 10h4" />
|
||||||
|
<path d="M10 14h4" />
|
||||||
|
<path d="M10 18h4" />
|
||||||
|
</svg>
|
||||||
|
After Width: | Height: | Size: 548 B |
@@ -0,0 +1,19 @@
|
|||||||
|
<!-- @license lucide-static v0.468.0 - ISC -->
|
||||||
|
<svg
|
||||||
|
class="lucide lucide-file-text"
|
||||||
|
xmlns="http://www.w3.org/2000/svg"
|
||||||
|
width="24"
|
||||||
|
height="24"
|
||||||
|
viewBox="0 0 24 24"
|
||||||
|
fill="none"
|
||||||
|
stroke="#06b6d4"
|
||||||
|
stroke-width="2"
|
||||||
|
stroke-linecap="round"
|
||||||
|
stroke-linejoin="round"
|
||||||
|
>
|
||||||
|
<path d="M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z" />
|
||||||
|
<path d="M14 2v4a2 2 0 0 0 2 2h4" />
|
||||||
|
<path d="M10 9H8" />
|
||||||
|
<path d="M16 13H8" />
|
||||||
|
<path d="M16 17H8" />
|
||||||
|
</svg>
|
||||||
|
After Width: | Height: | Size: 468 B |
@@ -0,0 +1,17 @@
|
|||||||
|
<!-- @license lucide-static v0.468.0 - ISC -->
|
||||||
|
<svg
|
||||||
|
class="lucide lucide-git-merge"
|
||||||
|
xmlns="http://www.w3.org/2000/svg"
|
||||||
|
width="24"
|
||||||
|
height="24"
|
||||||
|
viewBox="0 0 24 24"
|
||||||
|
fill="none"
|
||||||
|
stroke="#06b6d4"
|
||||||
|
stroke-width="2"
|
||||||
|
stroke-linecap="round"
|
||||||
|
stroke-linejoin="round"
|
||||||
|
>
|
||||||
|
<circle cx="18" cy="18" r="3" />
|
||||||
|
<circle cx="6" cy="6" r="3" />
|
||||||
|
<path d="M6 21V9a9 9 0 0 0 9 9" />
|
||||||
|
</svg>
|
||||||
|
After Width: | Height: | Size: 389 B |
@@ -0,0 +1,16 @@
|
|||||||
|
<!-- @license lucide-static v0.468.0 - ISC -->
|
||||||
|
<svg
|
||||||
|
class="lucide lucide-search"
|
||||||
|
xmlns="http://www.w3.org/2000/svg"
|
||||||
|
width="24"
|
||||||
|
height="24"
|
||||||
|
viewBox="0 0 24 24"
|
||||||
|
fill="none"
|
||||||
|
stroke="#06b6d4"
|
||||||
|
stroke-width="2"
|
||||||
|
stroke-linecap="round"
|
||||||
|
stroke-linejoin="round"
|
||||||
|
>
|
||||||
|
<circle cx="11" cy="11" r="8" />
|
||||||
|
<path d="m21 21-4.3-4.3" />
|
||||||
|
</svg>
|
||||||
|
After Width: | Height: | Size: 346 B |
@@ -0,0 +1,16 @@
|
|||||||
|
<!-- @license lucide-static v0.468.0 - ISC -->
|
||||||
|
<svg
|
||||||
|
class="lucide lucide-shield-check"
|
||||||
|
xmlns="http://www.w3.org/2000/svg"
|
||||||
|
width="24"
|
||||||
|
height="24"
|
||||||
|
viewBox="0 0 24 24"
|
||||||
|
fill="none"
|
||||||
|
stroke="#06b6d4"
|
||||||
|
stroke-width="2"
|
||||||
|
stroke-linecap="round"
|
||||||
|
stroke-linejoin="round"
|
||||||
|
>
|
||||||
|
<path d="M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z" />
|
||||||
|
<path d="m9 12 2 2 4-4" />
|
||||||
|
</svg>
|
||||||
|
After Width: | Height: | Size: 494 B |
@@ -0,0 +1,15 @@
|
|||||||
|
<!-- @license lucide-static v0.468.0 - ISC -->
|
||||||
|
<svg
|
||||||
|
class="lucide lucide-wrench"
|
||||||
|
xmlns="http://www.w3.org/2000/svg"
|
||||||
|
width="24"
|
||||||
|
height="24"
|
||||||
|
viewBox="0 0 24 24"
|
||||||
|
fill="none"
|
||||||
|
stroke="#06b6d4"
|
||||||
|
stroke-width="2"
|
||||||
|
stroke-linecap="round"
|
||||||
|
stroke-linejoin="round"
|
||||||
|
>
|
||||||
|
<path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z" />
|
||||||
|
</svg>
|
||||||
|
After Width: | Height: | Size: 449 B |
Binary file not shown.
|
After Width: | Height: | Size: 680 KiB |
@@ -0,0 +1,246 @@
|
|||||||
|
# API Reference
|
||||||
|
|
||||||
|
Comprehensive parameter-level documentation for all public Python APIs.
|
||||||
|
|
||||||
|
## `mempalace.searcher`
|
||||||
|
|
||||||
|
### `search(query, palace_path, wing=None, room=None, n_results=5)`
|
||||||
|
|
||||||
|
CLI-oriented search that prints results to stdout.
|
||||||
|
|
||||||
|
| Parameter | Type | Default | Description |
|
||||||
|
|-----------|------|---------|-------------|
|
||||||
|
| `query` | `str` | — | Search query text |
|
||||||
|
| `palace_path` | `str` | — | Path to ChromaDB palace directory |
|
||||||
|
| `wing` | `str` | `None` | Filter by wing name |
|
||||||
|
| `room` | `str` | `None` | Filter by room name |
|
||||||
|
| `n_results` | `int` | `5` | Maximum number of results |
|
||||||
|
|
||||||
|
**Raises:** `SearchError` if palace not found or query fails.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `search_memories(query, palace_path, wing=None, room=None, n_results=5) → dict`
|
||||||
|
|
||||||
|
Programmatic search returning a dict. Used by the MCP server.
|
||||||
|
|
||||||
|
| Parameter | Type | Default | Description |
|
||||||
|
|-----------|------|---------|-------------|
|
||||||
|
| `query` | `str` | — | Search query text |
|
||||||
|
| `palace_path` | `str` | — | Path to ChromaDB palace directory |
|
||||||
|
| `wing` | `str` | `None` | Filter by wing name |
|
||||||
|
| `room` | `str` | `None` | Filter by room name |
|
||||||
|
| `n_results` | `int` | `5` | Maximum number of results |
|
||||||
|
|
||||||
|
**Returns:**
|
||||||
|
```python
|
||||||
|
{
|
||||||
|
"query": str,
|
||||||
|
"filters": {"wing": str | None, "room": str | None},
|
||||||
|
"results": [
|
||||||
|
{
|
||||||
|
"text": str, # verbatim drawer content
|
||||||
|
"wing": str, # wing name
|
||||||
|
"room": str, # room name
|
||||||
|
"source_file": str, # original file basename
|
||||||
|
"similarity": float, # 0.0 to 1.0
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
On error: `{"error": str, "hint": str}`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## `mempalace.layers`
|
||||||
|
|
||||||
|
### `class Layer0(identity_path=None)`
|
||||||
|
|
||||||
|
Identity layer (~50 tokens). Reads from `~/.mempalace/identity.txt`.
|
||||||
|
|
||||||
|
| Method | Returns | Description |
|
||||||
|
|--------|---------|-------------|
|
||||||
|
| `render()` | `str` | Identity text or default message |
|
||||||
|
| `token_estimate()` | `int` | Approximate token count (`len(text) // 4`) |
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `class Layer1(palace_path=None, wing=None)`
|
||||||
|
|
||||||
|
Essential story layer (~500–800 tokens). Auto-generated from top drawers.
|
||||||
|
|
||||||
|
| Attribute | Type | Description |
|
||||||
|
|-----------|------|-------------|
|
||||||
|
| `MAX_DRAWERS` | `int` | Max moments in wake-up (15) |
|
||||||
|
| `MAX_CHARS` | `int` | Hard cap on L1 text (3200) |
|
||||||
|
|
||||||
|
| Method | Returns | Description |
|
||||||
|
|--------|---------|-------------|
|
||||||
|
| `generate()` | `str` | Compact L1 text grouped by room |
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `class Layer2(palace_path=None)`
|
||||||
|
|
||||||
|
On-demand retrieval layer (~200–500 tokens per call).
|
||||||
|
|
||||||
|
| Method | Parameters | Returns |
|
||||||
|
|--------|-----------|---------|
|
||||||
|
| `retrieve(wing, room, n_results=10)` | Wing/room filters | Formatted drawer text |
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `class Layer3(palace_path=None)`
|
||||||
|
|
||||||
|
Deep semantic search layer (unlimited depth).
|
||||||
|
|
||||||
|
| Method | Parameters | Returns |
|
||||||
|
|--------|-----------|---------|
|
||||||
|
| `search(query, wing=None, room=None, n_results=5)` | Query + optional filters | Formatted result text |
|
||||||
|
| `search_raw(query, wing=None, room=None, n_results=5)` | Query + optional filters | List of result dicts |
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `class MemoryStack(palace_path=None, identity_path=None)`
|
||||||
|
|
||||||
|
Unified 4-layer interface.
|
||||||
|
|
||||||
|
| Method | Parameters | Returns | Description |
|
||||||
|
|--------|-----------|---------|-------------|
|
||||||
|
| `wake_up(wing=None)` | Optional wing | `str` | L0 + L1 context (~170–900 tokens) |
|
||||||
|
| `recall(wing, room, n_results=10)` | Filters | `str` | L2 on-demand retrieval |
|
||||||
|
| `search(query, wing, room, n_results=5)` | Query + filters | `str` | L3 deep search |
|
||||||
|
| `status()` | — | `dict` | All layer status info |
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## `mempalace.knowledge_graph`
|
||||||
|
|
||||||
|
### `class KnowledgeGraph(db_path=None)`
|
||||||
|
|
||||||
|
Default path: `~/.mempalace/knowledge_graph.sqlite3`
|
||||||
|
|
||||||
|
#### Write Methods
|
||||||
|
|
||||||
|
| Method | Parameters | Returns | Description |
|
||||||
|
|--------|-----------|---------|-------------|
|
||||||
|
| `add_entity(name, entity_type='unknown', properties=None)` | Name, type, props dict | `str` (entity ID) | Add or update entity node |
|
||||||
|
| `add_triple(subject, predicate, obj, valid_from, valid_to, confidence, source_closet, source_file)` | See below | `str` (triple ID) | Add relationship triple |
|
||||||
|
| `invalidate(subject, predicate, obj, ended=None)` | Entity names, end date | — | Mark relationship as ended |
|
||||||
|
|
||||||
|
**`add_triple` parameters:**
|
||||||
|
|
||||||
|
| Parameter | Type | Default | Description |
|
||||||
|
|-----------|------|---------|-------------|
|
||||||
|
| `subject` | `str` | — | Source entity name |
|
||||||
|
| `predicate` | `str` | — | Relationship type |
|
||||||
|
| `obj` | `str` | — | Target entity name |
|
||||||
|
| `valid_from` | `str` | `None` | Start date (YYYY-MM-DD) |
|
||||||
|
| `valid_to` | `str` | `None` | End date |
|
||||||
|
| `confidence` | `float` | `1.0` | Confidence score 0.0–1.0 |
|
||||||
|
| `source_closet` | `str` | `None` | Link to verbatim memory |
|
||||||
|
| `source_file` | `str` | `None` | Original source file |
|
||||||
|
|
||||||
|
#### Query Methods
|
||||||
|
|
||||||
|
| Method | Parameters | Returns |
|
||||||
|
|--------|-----------|---------|
|
||||||
|
| `query_entity(name, as_of=None, direction='outgoing')` | Entity name, date filter, direction | `list[dict]` |
|
||||||
|
| `query_relationship(predicate, as_of=None)` | Relationship type, date filter | `list[dict]` |
|
||||||
|
| `timeline(entity_name=None)` | Optional entity filter | `list[dict]` |
|
||||||
|
| `stats()` | — | `dict` with entities, triples, predicates |
|
||||||
|
| `seed_from_entity_facts(entity_facts)` | Dict of entity facts | — |
|
||||||
|
|
||||||
|
**`query_entity` direction values:** `"outgoing"` (entity→?), `"incoming"` (?→entity), `"both"`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## `mempalace.palace_graph`
|
||||||
|
|
||||||
|
### `build_graph(col=None, config=None) → (nodes, edges)`
|
||||||
|
|
||||||
|
Build the palace graph from ChromaDB metadata.
|
||||||
|
|
||||||
|
**Returns:**
|
||||||
|
- `nodes`: `dict` of `{room: {wings: list, halls: list, count: int, dates: list}}`
|
||||||
|
- `edges`: `list` of `{room, wing_a, wing_b, hall, count}`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `traverse(start_room, col=None, config=None, max_hops=2) → list`
|
||||||
|
|
||||||
|
BFS graph traversal from a room across wings.
|
||||||
|
|
||||||
|
| Parameter | Type | Default | Description |
|
||||||
|
|-----------|------|---------|-------------|
|
||||||
|
| `start_room` | `str` | — | Room slug to start from |
|
||||||
|
| `max_hops` | `int` | `2` | Max connection depth |
|
||||||
|
|
||||||
|
**Returns:** `[{room, wings, halls, count, hop, connected_via}]` (max 50)
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `find_tunnels(wing_a=None, wing_b=None, col=None, config=None) → list`
|
||||||
|
|
||||||
|
Find rooms spanning multiple wings.
|
||||||
|
|
||||||
|
**Returns:** `[{room, wings, halls, count, recent}]` (max 50)
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `graph_stats(col=None, config=None) → dict`
|
||||||
|
|
||||||
|
**Returns:** `{total_rooms, tunnel_rooms, total_edges, rooms_per_wing, top_tunnels}`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## `mempalace.dialect`
|
||||||
|
|
||||||
|
### `class Dialect(entities=None, skip_names=None)`
|
||||||
|
|
||||||
|
| Parameter | Type | Description |
|
||||||
|
|-----------|------|-------------|
|
||||||
|
| `entities` | `dict[str, str]` | Full name → 3-letter code mapping |
|
||||||
|
| `skip_names` | `list[str]` | Names to skip (fictional characters, etc.) |
|
||||||
|
|
||||||
|
#### Class Methods
|
||||||
|
|
||||||
|
| Method | Parameters | Returns |
|
||||||
|
|--------|-----------|---------|
|
||||||
|
| `from_config(config_path)` | JSON file path | `Dialect` instance |
|
||||||
|
|
||||||
|
#### Instance Methods
|
||||||
|
|
||||||
|
| Method | Parameters | Returns | Description |
|
||||||
|
|--------|-----------|---------|-------------|
|
||||||
|
| `compress(text, metadata=None)` | Plain text + optional metadata dict | `str` | AAAK-formatted summary |
|
||||||
|
| `encode_entity(name)` | Entity name | `str \| None` | 3-letter entity code |
|
||||||
|
| `encode_emotions(emotions)` | List of emotion strings | `str` | Compact emotion codes |
|
||||||
|
| `compress_file(path, output=None)` | Zettel JSON path | `str` | Compress zettel file |
|
||||||
|
| `compress_all(dir, output=None)` | Zettel directory | `str` | Compress all zettels |
|
||||||
|
| `save_config(path)` | Output path | — | Save entity mappings |
|
||||||
|
| `compression_stats(original, compressed)` | Both texts | `dict` | Compression ratio stats |
|
||||||
|
|
||||||
|
#### Static Methods
|
||||||
|
|
||||||
|
| Method | Parameters | Returns |
|
||||||
|
|--------|-----------|---------|
|
||||||
|
| `count_tokens(text)` | Any text | `int` |
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## `mempalace.config`
|
||||||
|
|
||||||
|
### `class MempalaceConfig()`
|
||||||
|
|
||||||
|
Reads from `~/.mempalace/config.json` and environment variables.
|
||||||
|
|
||||||
|
| Property | Type | Default | Description |
|
||||||
|
|----------|------|---------|-------------|
|
||||||
|
| `palace_path` | `str` | `~/.mempalace/palace` | ChromaDB storage path |
|
||||||
|
| `collection_name` | `str` | `mempalace_drawers` | ChromaDB collection name |
|
||||||
|
|
||||||
|
| Method | Description |
|
||||||
|
|--------|-------------|
|
||||||
|
| `init()` | Create config directory and default files |
|
||||||
@@ -0,0 +1,95 @@
|
|||||||
|
# Benchmarks
|
||||||
|
|
||||||
|
Curated summary of MemPalace benchmark results. For the full 725-line progression with every experiment, see [`benchmarks/BENCHMARKS.md`](https://github.com/milla-jovovich/mempalace/blob/main/benchmarks/BENCHMARKS.md) in the repository.
|
||||||
|
|
||||||
|
## The Core Finding
|
||||||
|
|
||||||
|
MemPalace's benchmarked raw baseline stores the source text and searches it with ChromaDB's default embeddings. No extraction layer or summarization step is required for that baseline.
|
||||||
|
|
||||||
|
**And it scores 96.6% on LongMemEval.**
|
||||||
|
|
||||||
|
## LongMemEval Results
|
||||||
|
|
||||||
|
| Mode | R@5 | LLM Required | Cost/query |
|
||||||
|
|------|-----|-------------|------------|
|
||||||
|
| Raw ChromaDB | **96.6%** | None | $0 |
|
||||||
|
| Hybrid v3 + rerank | 99.4% | Haiku | ~$0.001 |
|
||||||
|
| Palace + rerank | 99.4% | Haiku | ~$0.001 |
|
||||||
|
| **Hybrid v4 + rerank** | **100%** | Haiku | ~$0.001 |
|
||||||
|
|
||||||
|
The 96.6% raw score requires no API key, no cloud, and no LLM at any stage. The 100% result uses optional Haiku reranking.
|
||||||
|
|
||||||
|
### Per-Category Breakdown (Raw, 96.6%)
|
||||||
|
|
||||||
|
| Question Type | R@5 | Count |
|
||||||
|
|---------------|-----|-------|
|
||||||
|
| Knowledge update | 99.0% | 78 |
|
||||||
|
| Multi-session | 98.5% | 133 |
|
||||||
|
| Temporal reasoning | 96.2% | 133 |
|
||||||
|
| Single-session user | 95.7% | 70 |
|
||||||
|
| Single-session preference | 93.3% | 30 |
|
||||||
|
| Single-session assistant | 92.9% | 56 |
|
||||||
|
|
||||||
|
### Held-Out Validation
|
||||||
|
|
||||||
|
**98.4% R@5** on 450 questions that hybrid_v4 was never tuned on — confirming the improvements generalize.
|
||||||
|
|
||||||
|
## Comparison vs Published Systems
|
||||||
|
|
||||||
|
| System | LongMemEval R@5 | API Required | Cost |
|
||||||
|
|--------|----------------|--------------|------|
|
||||||
|
| **MemPalace (hybrid)** | **100%** | Optional | Free |
|
||||||
|
| Supermemory ASMR | ~99% | Yes | — |
|
||||||
|
| **MemPalace (raw)** | **96.6%** | **None** | **Free** |
|
||||||
|
| Mastra | 94.87% | Yes | API costs |
|
||||||
|
| Hindsight | 91.4% | Yes | API costs |
|
||||||
|
| Mem0 | ~85% | Yes | $19–249/mo |
|
||||||
|
|
||||||
|
## Other Benchmarks
|
||||||
|
|
||||||
|
### ConvoMem (Salesforce, 75K+ QA pairs)
|
||||||
|
|
||||||
|
| System | Score |
|
||||||
|
|--------|-------|
|
||||||
|
| **MemPalace** | **92.9%** |
|
||||||
|
| Gemini (long context) | 70–82% |
|
||||||
|
| Block extraction | 57–71% |
|
||||||
|
| Mem0 (RAG) | 30–45% |
|
||||||
|
|
||||||
|
On this benchmark, MemPalace materially outperforms the Mem0 result cited in the comparison table.
|
||||||
|
|
||||||
|
### LoCoMo (1,986 multi-hop QA pairs)
|
||||||
|
|
||||||
|
| Mode | R@10 | LLM |
|
||||||
|
|------|------|-----|
|
||||||
|
| Hybrid v5 + Sonnet rerank (top-50) | **100%** | Sonnet |
|
||||||
|
| bge-large + Haiku rerank (top-15) | 96.3% | Haiku |
|
||||||
|
| Hybrid v5 (top-10, no rerank) | **88.9%** | None |
|
||||||
|
| Session, no rerank (top-10) | 60.3% | None |
|
||||||
|
|
||||||
|
### MemBench (ACL 2025, 8,500 items)
|
||||||
|
|
||||||
|
**80.3% R@5** overall. Strongest categories: aggregative (99.3%), comparative (98.4%), lowlevel_rec (99.8%).
|
||||||
|
|
||||||
|
## Reproducing Results
|
||||||
|
|
||||||
|
All benchmarks are reproducible with public datasets:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
git clone https://github.com/milla-jovovich/mempalace.git
|
||||||
|
cd mempalace
|
||||||
|
pip install chromadb pyyaml
|
||||||
|
|
||||||
|
# Download LongMemEval data
|
||||||
|
curl -fsSL -o /tmp/longmemeval_s_cleaned.json \
|
||||||
|
https://huggingface.co/datasets/xiaowu0162/longmemeval-cleaned/resolve/main/longmemeval_s_cleaned.json
|
||||||
|
|
||||||
|
# Run raw baseline (96.6%, no API key needed)
|
||||||
|
python benchmarks/longmemeval_bench.py /tmp/longmemeval_s_cleaned.json
|
||||||
|
```
|
||||||
|
|
||||||
|
::: tip
|
||||||
|
Results are deterministic. Same data + same script = same result every time. Every result JSONL file contains every question, every retrieved document, every score.
|
||||||
|
:::
|
||||||
|
|
||||||
|
For complete reproduction instructions, benchmark integrity notes, and the full score progression, see the [full benchmark documentation](https://github.com/milla-jovovich/mempalace/blob/main/benchmarks/BENCHMARKS.md).
|
||||||
@@ -0,0 +1,156 @@
|
|||||||
|
# CLI Commands
|
||||||
|
|
||||||
|
All commands accept `--palace <path>` to override the default palace location.
|
||||||
|
|
||||||
|
## `mempalace init`
|
||||||
|
|
||||||
|
Detect rooms from your folder structure and set up the palace.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace init <dir>
|
||||||
|
mempalace init <dir> --yes # non-interactive mode
|
||||||
|
```
|
||||||
|
|
||||||
|
| Option | Description |
|
||||||
|
|--------|-------------|
|
||||||
|
| `<dir>` | Project directory to scan |
|
||||||
|
| `--yes` | Auto-accept all detected entities |
|
||||||
|
|
||||||
|
What it does:
|
||||||
|
1. Scans for people and projects in file content
|
||||||
|
2. Detects rooms from folder structure
|
||||||
|
3. Creates `~/.mempalace/` config directory
|
||||||
|
4. Saves detected entities to `<dir>/entities.json`
|
||||||
|
|
||||||
|
## `mempalace mine`
|
||||||
|
|
||||||
|
Mine files into the palace.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace mine <dir>
|
||||||
|
mempalace mine <dir> --mode convos
|
||||||
|
mempalace mine <dir> --mode convos --extract general
|
||||||
|
mempalace mine <dir> --wing myapp
|
||||||
|
```
|
||||||
|
|
||||||
|
| Option | Default | Description |
|
||||||
|
|--------|---------|-------------|
|
||||||
|
| `<dir>` | — | Directory to mine |
|
||||||
|
| `--mode` | `projects` | `projects` for code/docs, `convos` for chat exports |
|
||||||
|
| `--wing` | directory name | Wing name override |
|
||||||
|
| `--agent` | `mempalace` | Agent name tag |
|
||||||
|
| `--limit` | `0` (all) | Max files to process |
|
||||||
|
| `--dry-run` | — | Preview without filing |
|
||||||
|
| `--extract` | `exchange` | `exchange` or `general` (for convos mode) |
|
||||||
|
| `--no-gitignore` | — | Don't respect .gitignore |
|
||||||
|
| `--include-ignored` | — | Always scan these paths even if ignored |
|
||||||
|
|
||||||
|
## `mempalace search`
|
||||||
|
|
||||||
|
Find anything by semantic search.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace search "query"
|
||||||
|
mempalace search "query" --wing myapp
|
||||||
|
mempalace search "query" --wing myapp --room auth
|
||||||
|
mempalace search "query" --results 10
|
||||||
|
```
|
||||||
|
|
||||||
|
| Option | Default | Description |
|
||||||
|
|--------|---------|-------------|
|
||||||
|
| `"query"` | — | What to search for |
|
||||||
|
| `--wing` | all | Filter by wing |
|
||||||
|
| `--room` | all | Filter by room |
|
||||||
|
| `--results` | `5` | Number of results |
|
||||||
|
|
||||||
|
## `mempalace split`
|
||||||
|
|
||||||
|
Split concatenated transcript mega-files into per-session files.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace split <dir>
|
||||||
|
mempalace split <dir> --dry-run
|
||||||
|
mempalace split <dir> --min-sessions 3
|
||||||
|
mempalace split <dir> --output-dir ~/split-output/
|
||||||
|
```
|
||||||
|
|
||||||
|
| Option | Default | Description |
|
||||||
|
|--------|---------|-------------|
|
||||||
|
| `<dir>` | — | Directory with transcript files |
|
||||||
|
| `--output-dir` | same dir | Write split files here |
|
||||||
|
| `--dry-run` | — | Preview without writing |
|
||||||
|
| `--min-sessions` | `2` | Only split files with N+ sessions |
|
||||||
|
|
||||||
|
## `mempalace wake-up`
|
||||||
|
|
||||||
|
Show L0 + L1 wake-up context (~170–900 tokens).
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace wake-up
|
||||||
|
mempalace wake-up --wing driftwood
|
||||||
|
```
|
||||||
|
|
||||||
|
| Option | Description |
|
||||||
|
|--------|-------------|
|
||||||
|
| `--wing` | Project-specific wake-up |
|
||||||
|
|
||||||
|
## `mempalace compress`
|
||||||
|
|
||||||
|
Compress drawers using AAAK Dialect.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace compress --wing myapp
|
||||||
|
mempalace compress --wing myapp --dry-run
|
||||||
|
mempalace compress --config entities.json
|
||||||
|
```
|
||||||
|
|
||||||
|
| Option | Description |
|
||||||
|
|--------|-------------|
|
||||||
|
| `--wing` | Wing to compress (default: all) |
|
||||||
|
| `--dry-run` | Preview without storing |
|
||||||
|
| `--config` | Entity config JSON file |
|
||||||
|
|
||||||
|
## `mempalace status`
|
||||||
|
|
||||||
|
Show what's been filed — drawer count, wing/room breakdown.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace status
|
||||||
|
```
|
||||||
|
|
||||||
|
## `mempalace repair`
|
||||||
|
|
||||||
|
Rebuild palace vector index from stored data. Fixes segfaults after database corruption.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace repair
|
||||||
|
```
|
||||||
|
|
||||||
|
Creates a backup at `<palace_path>.backup` before rebuilding.
|
||||||
|
|
||||||
|
## `mempalace hook`
|
||||||
|
|
||||||
|
Run hook logic for Claude Code / Codex integration.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace hook run --hook stop --harness claude-code
|
||||||
|
mempalace hook run --hook precompact --harness claude-code
|
||||||
|
mempalace hook run --hook session-start --harness codex
|
||||||
|
```
|
||||||
|
|
||||||
|
| Option | Values | Description |
|
||||||
|
|--------|--------|-------------|
|
||||||
|
| `--hook` | `session-start`, `stop`, `precompact` | Hook name |
|
||||||
|
| `--harness` | `claude-code`, `codex` | Harness type |
|
||||||
|
|
||||||
|
## `mempalace instructions`
|
||||||
|
|
||||||
|
Output skill instructions to stdout.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
mempalace instructions init
|
||||||
|
mempalace instructions search
|
||||||
|
mempalace instructions mine
|
||||||
|
mempalace instructions help
|
||||||
|
mempalace instructions status
|
||||||
|
```
|
||||||
@@ -0,0 +1,81 @@
|
|||||||
|
# Contributing
|
||||||
|
|
||||||
|
PRs welcome. MemPalace is open source and we welcome contributions of all sizes — from typo fixes to new features.
|
||||||
|
|
||||||
|
## Getting Started
|
||||||
|
|
||||||
|
```bash
|
||||||
|
git clone https://github.com/milla-jovovich/mempalace.git
|
||||||
|
cd mempalace
|
||||||
|
pip install -e ".[dev]"
|
||||||
|
```
|
||||||
|
|
||||||
|
## Running Tests
|
||||||
|
|
||||||
|
```bash
|
||||||
|
pytest tests/ -v
|
||||||
|
```
|
||||||
|
|
||||||
|
All tests must pass before submitting a PR. Tests should run without API keys or network access.
|
||||||
|
|
||||||
|
## Running Benchmarks
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Quick test (20 questions, ~30 seconds)
|
||||||
|
python benchmarks/longmemeval_bench.py /path/to/longmemeval_s_cleaned.json --limit 20
|
||||||
|
|
||||||
|
# Full benchmark (500 questions, ~5 minutes)
|
||||||
|
python benchmarks/longmemeval_bench.py /path/to/longmemeval_s_cleaned.json
|
||||||
|
```
|
||||||
|
|
||||||
|
See [Benchmarks](/reference/benchmarks) for data download instructions.
|
||||||
|
|
||||||
|
## PR Guidelines
|
||||||
|
|
||||||
|
1. Fork the repo and create a feature branch: `git checkout -b feat/my-thing`
|
||||||
|
2. Write your code
|
||||||
|
3. Add or update tests if applicable
|
||||||
|
4. Run `pytest tests/ -v` — everything must pass
|
||||||
|
5. Commit with clear [conventional commits](https://www.conventionalcommits.org/):
|
||||||
|
- `feat: add Notion export format`
|
||||||
|
- `fix: handle empty transcript files`
|
||||||
|
- `docs: update MCP tool descriptions`
|
||||||
|
- `bench: add LoCoMo turn-level metrics`
|
||||||
|
6. Push to your fork and open a PR against `main`
|
||||||
|
|
||||||
|
## Code Style
|
||||||
|
|
||||||
|
- **Formatting**: [Ruff](https://docs.astral.sh/ruff/) with 100-char line limit
|
||||||
|
- **Naming**: `snake_case` for functions/variables, `PascalCase` for classes
|
||||||
|
- **Docstrings**: on all modules and public functions
|
||||||
|
- **Type hints**: where they improve readability
|
||||||
|
- **Dependencies**: minimize — ChromaDB + PyYAML only. Don't add new deps without discussion.
|
||||||
|
|
||||||
|
## Good First Issues
|
||||||
|
|
||||||
|
Check the [Issues](https://github.com/milla-jovovich/mempalace/issues) tab:
|
||||||
|
|
||||||
|
- **New chat formats** — add import support for Cursor, Copilot, or other AI tool exports
|
||||||
|
- **Room detection** — improve pattern matching in `room_detector_local.py`
|
||||||
|
- **Tests** — increase coverage, especially for `knowledge_graph.py` and `palace_graph.py`
|
||||||
|
- **Entity detection** — better name disambiguation in `entity_detector.py`
|
||||||
|
- **Docs** — improve examples, add tutorials
|
||||||
|
|
||||||
|
## Architecture Decisions
|
||||||
|
|
||||||
|
If you're planning a significant change, open an issue first. Key principles:
|
||||||
|
|
||||||
|
- **Verbatim first** — never summarize user content. Store exact words.
|
||||||
|
- **Local first** — everything runs on the user's machine. No cloud dependencies.
|
||||||
|
- **Zero API by default** — core features must work without any API key.
|
||||||
|
- **Palace structure matters** — wings, halls, and rooms aren't cosmetic — they drive a 34% retrieval improvement.
|
||||||
|
|
||||||
|
## Community
|
||||||
|
|
||||||
|
- [Discord](https://discord.com/invite/ycTQQCu6kn)
|
||||||
|
- [GitHub Issues](https://github.com/milla-jovovich/mempalace/issues) — bug reports and feature requests
|
||||||
|
- [GitHub Discussions](https://github.com/milla-jovovich/mempalace/discussions) — questions and ideas
|
||||||
|
|
||||||
|
## License
|
||||||
|
|
||||||
|
MIT — your contributions will be released under the same license.
|
||||||
@@ -0,0 +1,249 @@
|
|||||||
|
# MCP Tools Reference
|
||||||
|
|
||||||
|
Detailed parameter schemas for all 19 MCP tools.
|
||||||
|
|
||||||
|
## Palace — Read Tools
|
||||||
|
|
||||||
|
### `mempalace_status`
|
||||||
|
|
||||||
|
Palace overview: total drawers, wing and room counts, AAAK spec, and memory protocol.
|
||||||
|
|
||||||
|
**Parameters:** None
|
||||||
|
|
||||||
|
**Returns:** `{ total_drawers, wings, rooms, palace_path, protocol, aaak_dialect }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_list_wings`
|
||||||
|
|
||||||
|
List all wings with drawer counts.
|
||||||
|
|
||||||
|
**Parameters:** None
|
||||||
|
|
||||||
|
**Returns:** `{ wings: { "wing_name": count } }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_list_rooms`
|
||||||
|
|
||||||
|
List rooms within a wing (or all rooms if no wing given).
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `wing` | string | No | Wing to list rooms for |
|
||||||
|
|
||||||
|
**Returns:** `{ wing, rooms: { "room_name": count } }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_get_taxonomy`
|
||||||
|
|
||||||
|
Full wing → room → drawer count tree.
|
||||||
|
|
||||||
|
**Parameters:** None
|
||||||
|
|
||||||
|
**Returns:** `{ taxonomy: { "wing": { "room": count } } }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_search`
|
||||||
|
|
||||||
|
Semantic search. Returns verbatim drawer content with similarity scores.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `query` | string | **Yes** | What to search for |
|
||||||
|
| `limit` | integer | No | Max results (default: 5) |
|
||||||
|
| `wing` | string | No | Filter by wing |
|
||||||
|
| `room` | string | No | Filter by room |
|
||||||
|
|
||||||
|
**Returns:** `{ query, filters, results: [{ text, wing, room, source_file, similarity }] }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_check_duplicate`
|
||||||
|
|
||||||
|
Check if content already exists in the palace before filing.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `content` | string | **Yes** | Content to check |
|
||||||
|
| `threshold` | number | No | Similarity threshold 0–1 (default: 0.9) |
|
||||||
|
|
||||||
|
**Returns:** `{ is_duplicate, matches: [{ id, wing, room, similarity, content }] }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_get_aaak_spec`
|
||||||
|
|
||||||
|
Returns the AAAK dialect specification.
|
||||||
|
|
||||||
|
**Parameters:** None
|
||||||
|
|
||||||
|
**Returns:** `{ aaak_spec: "..." }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## Palace — Write Tools
|
||||||
|
|
||||||
|
### `mempalace_add_drawer`
|
||||||
|
|
||||||
|
File verbatim content into the palace. Identical content (same deterministic drawer ID) is silently skipped. For similarity-based duplicate detection before filing, use `mempalace_check_duplicate`.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `wing` | string | **Yes** | Wing (project name) |
|
||||||
|
| `room` | string | **Yes** | Room (aspect: backend, decisions, etc.) |
|
||||||
|
| `content` | string | **Yes** | Verbatim content to store |
|
||||||
|
| `source_file` | string | No | Where this came from |
|
||||||
|
| `added_by` | string | No | Who is filing (default: "mcp") |
|
||||||
|
|
||||||
|
**Returns:** `{ success, drawer_id, wing, room }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_delete_drawer`
|
||||||
|
|
||||||
|
Delete a drawer by ID. Irreversible.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `drawer_id` | string | **Yes** | ID of the drawer to delete |
|
||||||
|
|
||||||
|
**Returns:** `{ success, drawer_id }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## Knowledge Graph Tools
|
||||||
|
|
||||||
|
### `mempalace_kg_query`
|
||||||
|
|
||||||
|
Query entity relationships with time filtering.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `entity` | string | **Yes** | Entity to query (e.g. "Max", "MyProject") |
|
||||||
|
| `as_of` | string | No | Date filter — only facts valid at this date (YYYY-MM-DD) |
|
||||||
|
| `direction` | string | No | `outgoing`, `incoming`, or `both` (default: `both`) |
|
||||||
|
|
||||||
|
**Returns:** `{ entity, as_of, facts: [{ direction, subject, predicate, object, valid_from, valid_to, current }], count }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_kg_add`
|
||||||
|
|
||||||
|
Add a fact to the knowledge graph.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `subject` | string | **Yes** | The entity doing/being something |
|
||||||
|
| `predicate` | string | **Yes** | Relationship type (e.g. "loves", "works_on") |
|
||||||
|
| `object` | string | **Yes** | The entity being connected to |
|
||||||
|
| `valid_from` | string | No | When this became true (YYYY-MM-DD) |
|
||||||
|
| `source_closet` | string | No | Closet ID where this fact appears |
|
||||||
|
|
||||||
|
**Returns:** `{ success, triple_id, fact }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_kg_invalidate`
|
||||||
|
|
||||||
|
Mark a fact as no longer true.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `subject` | string | **Yes** | Entity |
|
||||||
|
| `predicate` | string | **Yes** | Relationship |
|
||||||
|
| `object` | string | **Yes** | Connected entity |
|
||||||
|
| `ended` | string | No | When it stopped being true (default: today) |
|
||||||
|
|
||||||
|
**Returns:** `{ success, fact, ended }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_kg_timeline`
|
||||||
|
|
||||||
|
Chronological timeline of facts.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `entity` | string | No | Entity to get timeline for (omit for full timeline) |
|
||||||
|
|
||||||
|
**Returns:** `{ entity, timeline: [{ subject, predicate, object, valid_from, valid_to, current }], count }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_kg_stats`
|
||||||
|
|
||||||
|
Knowledge graph overview.
|
||||||
|
|
||||||
|
**Parameters:** None
|
||||||
|
|
||||||
|
**Returns:** `{ entities, triples, current_facts, expired_facts, relationship_types }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## Navigation Tools
|
||||||
|
|
||||||
|
### `mempalace_traverse`
|
||||||
|
|
||||||
|
Walk the palace graph from a room. Find connected ideas across wings.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `start_room` | string | **Yes** | Room to start from |
|
||||||
|
| `max_hops` | integer | No | How many connections to follow (default: 2) |
|
||||||
|
|
||||||
|
**Returns:** `[{ room, wings, halls, count, hop, connected_via }]`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_find_tunnels`
|
||||||
|
|
||||||
|
Find rooms that bridge two wings.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `wing_a` | string | No | First wing |
|
||||||
|
| `wing_b` | string | No | Second wing |
|
||||||
|
|
||||||
|
**Returns:** `[{ room, wings, halls, count, recent }]`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_graph_stats`
|
||||||
|
|
||||||
|
Palace graph overview: nodes, tunnels, edges, connectivity.
|
||||||
|
|
||||||
|
**Parameters:** None
|
||||||
|
|
||||||
|
**Returns:** `{ total_rooms, tunnel_rooms, total_edges, rooms_per_wing, top_tunnels }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## Agent Diary Tools
|
||||||
|
|
||||||
|
### `mempalace_diary_write`
|
||||||
|
|
||||||
|
Write to your personal agent diary.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `agent_name` | string | **Yes** | Your name — each agent gets its own wing |
|
||||||
|
| `entry` | string | **Yes** | Diary entry (in AAAK format recommended) |
|
||||||
|
| `topic` | string | No | Topic tag (default: "general") |
|
||||||
|
|
||||||
|
**Returns:** `{ success, entry_id, agent, topic, timestamp }`
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### `mempalace_diary_read`
|
||||||
|
|
||||||
|
Read recent diary entries.
|
||||||
|
|
||||||
|
| Parameter | Type | Required | Description |
|
||||||
|
|-----------|------|----------|-------------|
|
||||||
|
| `agent_name` | string | **Yes** | Your name |
|
||||||
|
| `last_n` | integer | No | Number of recent entries (default: 10) |
|
||||||
|
|
||||||
|
**Returns:** `{ agent, entries: [{ date, timestamp, topic, content }], total, showing }`
|
||||||
@@ -0,0 +1,129 @@
|
|||||||
|
# Module Map
|
||||||
|
|
||||||
|
Complete source file reference for the MemPalace codebase.
|
||||||
|
|
||||||
|
## Project Structure
|
||||||
|
|
||||||
|
```
|
||||||
|
mempalace/
|
||||||
|
├── README.md ← project documentation
|
||||||
|
├── mempalace/ ← core package
|
||||||
|
│ ├── cli.py ← CLI entry point
|
||||||
|
│ ├── mcp_server.py ← MCP server (19 tools)
|
||||||
|
│ ├── knowledge_graph.py ← temporal entity graph
|
||||||
|
│ ├── palace_graph.py ← room navigation graph
|
||||||
|
│ ├── dialect.py ← AAAK compression
|
||||||
|
│ ├── miner.py ← project file ingest
|
||||||
|
│ ├── convo_miner.py ← conversation ingest
|
||||||
|
│ ├── searcher.py ← semantic search
|
||||||
|
│ ├── layers.py ← 4-layer memory stack
|
||||||
|
│ ├── onboarding.py ← guided setup
|
||||||
|
│ ├── config.py ← configuration loading
|
||||||
|
│ ├── normalize.py ← chat format converter
|
||||||
|
│ ├── entity_detector.py ← auto-detect people/projects
|
||||||
|
│ ├── entity_registry.py ← entity code registry
|
||||||
|
│ ├── room_detector_local.py ← room detection from directories
|
||||||
|
│ ├── general_extractor.py ← 5-type memory extraction
|
||||||
|
│ ├── split_mega_files.py ← transcript splitting
|
||||||
|
│ ├── spellcheck.py ← optional spell checking
|
||||||
|
│ ├── hooks_cli.py ← hook logic
|
||||||
|
│ ├── instructions_cli.py ← skill instructions
|
||||||
|
│ └── version.py ← version string
|
||||||
|
├── benchmarks/ ← reproducible benchmark runners
|
||||||
|
│ ├── BENCHMARKS.md ← full results + methodology
|
||||||
|
│ ├── longmemeval_bench.py ← LongMemEval runner
|
||||||
|
│ ├── locomo_bench.py ← LoCoMo runner
|
||||||
|
│ ├── membench_bench.py ← MemBench runner
|
||||||
|
│ └── convomem_bench.py ← ConvoMem runner
|
||||||
|
├── hooks/ ← Claude Code auto-save hooks
|
||||||
|
│ ├── mempal_save_hook.sh ← save every N messages
|
||||||
|
│ └── mempal_precompact_hook.sh ← emergency save
|
||||||
|
├── examples/ ← usage examples
|
||||||
|
│ ├── basic_mining.py
|
||||||
|
│ ├── convo_import.py
|
||||||
|
│ ├── mcp_setup.md
|
||||||
|
│ └── gemini_cli_setup.md
|
||||||
|
├── tests/ ← test suite
|
||||||
|
├── assets/ ← logo + brand
|
||||||
|
└── pyproject.toml ← package config
|
||||||
|
```
|
||||||
|
|
||||||
|
## Core Modules
|
||||||
|
|
||||||
|
### `cli.py` — CLI Entry Point
|
||||||
|
|
||||||
|
Argparse-based CLI with subcommands: `init`, `mine`, `split`, `search`, `compress`, `wake-up`, `repair`, `status`, `hook`, `instructions`. Dispatches to the corresponding module.
|
||||||
|
|
||||||
|
### `mcp_server.py` — MCP Server
|
||||||
|
|
||||||
|
JSON-RPC over stdin/stdout. Implements the MCP protocol with 19 tools covering palace read/write, knowledge graph, navigation, and agent diary operations. Includes the Memory Protocol and AAAK Spec in status responses.
|
||||||
|
|
||||||
|
### `searcher.py` — Semantic Search
|
||||||
|
|
||||||
|
Two functions: `search()` for CLI output and `search_memories()` for programmatic use. Both query ChromaDB with optional wing/room filters and return verbatim drawer content with similarity scores.
|
||||||
|
|
||||||
|
### `layers.py` — Memory Stack
|
||||||
|
|
||||||
|
Four classes (`Layer0` through `Layer3`) and the unified `MemoryStack`. Layer 0 reads identity, Layer 1 auto-generates from top drawers, Layer 2 does filtered retrieval, Layer 3 does semantic search.
|
||||||
|
|
||||||
|
### `knowledge_graph.py` — Temporal KG
|
||||||
|
|
||||||
|
SQLite-backed entity-relationship graph with temporal validity windows. Supports add, invalidate, query, timeline, and stats. Auto-creates entities on triple insertion.
|
||||||
|
|
||||||
|
### `palace_graph.py` — Navigation Graph
|
||||||
|
|
||||||
|
Builds a graph from ChromaDB metadata where nodes = rooms and edges = tunnels (rooms spanning multiple wings). Supports BFS traversal and tunnel finding.
|
||||||
|
|
||||||
|
### `dialect.py` — AAAK Compression
|
||||||
|
|
||||||
|
Lossy abbreviation system with entity encoding, emotion detection, topic extraction, and flag identification. Works on both plain text and structured zettel data.
|
||||||
|
|
||||||
|
## Ingest Modules
|
||||||
|
|
||||||
|
### `miner.py` — Project Ingest
|
||||||
|
|
||||||
|
Scans project directories for code and doc files. Respects `.gitignore`. Files content as drawers tagged with wing/room metadata.
|
||||||
|
|
||||||
|
### `convo_miner.py` — Conversation Ingest
|
||||||
|
|
||||||
|
Imports conversation exports (Claude, ChatGPT, Slack, Markdown, plaintext). Chunks by exchange pair. Supports `exchange` and `general` extraction modes.
|
||||||
|
|
||||||
|
### `normalize.py` — Format Converter
|
||||||
|
|
||||||
|
Converts 5 chat formats to a standard transcript format before mining.
|
||||||
|
|
||||||
|
### `general_extractor.py` — Memory Type Extraction
|
||||||
|
|
||||||
|
Classifies conversation content into decisions, preferences, milestones, problems, and emotional context.
|
||||||
|
|
||||||
|
## Detection Modules
|
||||||
|
|
||||||
|
### `entity_detector.py` — Entity Detection
|
||||||
|
|
||||||
|
Scans file content to auto-detect people and projects using regex patterns and heuristics.
|
||||||
|
|
||||||
|
### `entity_registry.py` — Entity Registry
|
||||||
|
|
||||||
|
Manages entity name → code mappings for AAAK dialect.
|
||||||
|
|
||||||
|
### `room_detector_local.py` — Room Detection
|
||||||
|
|
||||||
|
Detects rooms from folder structure during `mempalace init`.
|
||||||
|
|
||||||
|
## Utility Modules
|
||||||
|
|
||||||
|
### `config.py` — Configuration
|
||||||
|
|
||||||
|
Loads settings from `~/.mempalace/config.json` and environment variables.
|
||||||
|
|
||||||
|
### `split_mega_files.py` — Transcript Splitting
|
||||||
|
|
||||||
|
Splits concatenated transcripts into per-session files based on session boundary detection.
|
||||||
|
|
||||||
|
### `onboarding.py` — Guided Setup
|
||||||
|
|
||||||
|
Interactive setup wizard for `mempalace init`. Generates AAAK bootstrap and wing config.
|
||||||
|
|
||||||
|
### `spellcheck.py` — Spell Checking
|
||||||
|
|
||||||
|
Optional spell checking utility (requires `autocorrect` package).
|
||||||
@@ -0,0 +1,121 @@
|
|||||||
|
# Python API
|
||||||
|
|
||||||
|
High-level overview of the key Python interfaces you'd use to integrate MemPalace into your application.
|
||||||
|
|
||||||
|
## Search
|
||||||
|
|
||||||
|
The primary way to query the palace programmatically.
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.searcher import search_memories
|
||||||
|
|
||||||
|
results = search_memories(
|
||||||
|
query="why did we switch to GraphQL",
|
||||||
|
wing="myapp", # optional filter
|
||||||
|
room="architecture", # optional filter
|
||||||
|
n_results=5,
|
||||||
|
)
|
||||||
|
|
||||||
|
# Results structure:
|
||||||
|
# {
|
||||||
|
# "query": "...",
|
||||||
|
# "filters": {"wing": "myapp", "room": "architecture"},
|
||||||
|
# "results": [
|
||||||
|
# {"text": "...", "wing": "...", "room": "...", "source_file": "...", "similarity": 0.89}
|
||||||
|
# ]
|
||||||
|
# }
|
||||||
|
```
|
||||||
|
|
||||||
|
## Memory Stack
|
||||||
|
|
||||||
|
The 4-layer memory system with a unified interface.
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.layers import MemoryStack
|
||||||
|
|
||||||
|
stack = MemoryStack() # uses default paths from MempalaceConfig
|
||||||
|
|
||||||
|
# Wake-up: L0 (identity) + L1 (essential story)
|
||||||
|
context = stack.wake_up(wing="myapp") # ~170-900 tokens
|
||||||
|
|
||||||
|
# On-demand: L2 retrieval
|
||||||
|
recall = stack.recall(wing="myapp", room="auth", n_results=10)
|
||||||
|
|
||||||
|
# Deep search: L3 semantic search
|
||||||
|
results = stack.search("pricing change", wing="myapp")
|
||||||
|
|
||||||
|
# Status
|
||||||
|
status = stack.status()
|
||||||
|
```
|
||||||
|
|
||||||
|
## Knowledge Graph
|
||||||
|
|
||||||
|
Temporal entity-relationship graph built on SQLite.
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.knowledge_graph import KnowledgeGraph
|
||||||
|
|
||||||
|
kg = KnowledgeGraph() # uses default path: ~/.mempalace/knowledge_graph.sqlite3
|
||||||
|
|
||||||
|
# Write
|
||||||
|
kg.add_entity("Kai", entity_type="person")
|
||||||
|
kg.add_triple("Kai", "works_on", "Orion", valid_from="2025-06-01")
|
||||||
|
kg.invalidate("Kai", "works_on", "Orion", ended="2026-03-01")
|
||||||
|
|
||||||
|
# Read
|
||||||
|
facts = kg.query_entity("Kai", as_of="2026-01-15", direction="both")
|
||||||
|
relationships = kg.query_relationship("works_on")
|
||||||
|
timeline = kg.timeline("Orion")
|
||||||
|
stats = kg.stats()
|
||||||
|
```
|
||||||
|
|
||||||
|
## Palace Graph
|
||||||
|
|
||||||
|
Room-based navigation graph built from ChromaDB metadata.
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.palace_graph import build_graph, traverse, find_tunnels, graph_stats
|
||||||
|
|
||||||
|
# Build the graph
|
||||||
|
nodes, edges = build_graph()
|
||||||
|
|
||||||
|
# Navigate
|
||||||
|
path = traverse("auth-migration", max_hops=2)
|
||||||
|
tunnels = find_tunnels(wing_a="wing_code", wing_b="wing_team")
|
||||||
|
stats = graph_stats()
|
||||||
|
```
|
||||||
|
|
||||||
|
## AAAK Dialect
|
||||||
|
|
||||||
|
Lossy compression for token density at scale.
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.dialect import Dialect
|
||||||
|
|
||||||
|
# Basic
|
||||||
|
dialect = Dialect()
|
||||||
|
text = "We decided to use GraphQL because REST was too chatty for our dashboard."
|
||||||
|
compressed = dialect.compress(text)
|
||||||
|
|
||||||
|
# With entity mappings
|
||||||
|
dialect = Dialect(entities={"Alice": "ALC", "Bob": "BOB"})
|
||||||
|
compressed = dialect.compress(text, metadata={"wing": "myapp"})
|
||||||
|
|
||||||
|
# From config
|
||||||
|
dialect = Dialect.from_config("entities.json")
|
||||||
|
|
||||||
|
# Stats
|
||||||
|
stats = dialect.compression_stats(text, compressed)
|
||||||
|
```
|
||||||
|
|
||||||
|
## Configuration
|
||||||
|
|
||||||
|
```python
|
||||||
|
from mempalace.config import MempalaceConfig
|
||||||
|
|
||||||
|
config = MempalaceConfig()
|
||||||
|
print(config.palace_path) # ~/.mempalace/palace
|
||||||
|
print(config.collection_name) # mempalace_drawers
|
||||||
|
```
|
||||||
|
|
||||||
|
For detailed parameter documentation, see [API Reference](/reference/api-reference).
|
||||||
Reference in New Issue
Block a user