new landing page
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@@ -22,7 +22,7 @@ export default withMermaid(
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['link', { rel: 'icon', href: `${docsBase}mempalace_logo.png` }],
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['link', { rel: 'preconnect', href: 'https://fonts.googleapis.com' }],
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['link', { rel: 'preconnect', href: 'https://fonts.gstatic.com', crossorigin: '' }],
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['link', { href: 'https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap', rel: 'stylesheet' }],
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['link', { href: 'https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=JetBrains+Mono:wght@300;400;500&family=Cormorant+Garamond:ital,wght@0,300;0,400;0,500;0,600;0,700;1,300;1,400&family=Geist:wght@300;400;500;600&display=swap', rel: 'stylesheet' }],
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['meta', { property: 'og:title', content: 'MemPalace — AI Memory System' }],
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['meta', { property: 'og:description', content: '96.6% LongMemEval recall. Zero API calls. Local, free, open source.' }],
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['meta', { property: 'og:image', content: `${docsBase}mempalace_logo.png` }],
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Load Diff
@@ -1,6 +1,10 @@
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import DefaultTheme from 'vitepress/theme'
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import Landing from './Landing.vue'
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import './style.css'
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export default {
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extends: DefaultTheme,
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enhanceApp({ app }) {
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app.component('Landing', Landing)
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},
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}
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+3
-84
@@ -1,87 +1,6 @@
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---
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layout: home
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hero:
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name: MemPalace
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text: Give your AI a memory.
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tagline: "96.6% recall on LongMemEval in raw mode. Local-first, open source, and usable without an API key."
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image:
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src: /mempalace_logo.png
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alt: MemPalace
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actions:
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- theme: brand
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text: Get Started
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link: /guide/getting-started
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- theme: alt
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text: Architecture →
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link: /concepts/the-palace
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- theme: alt
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text: GitHub ↗
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link: https://github.com/MemPalace/mempalace
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features:
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- icon:
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src: /icons/file-text.svg
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alt: Verbatim Storage
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title: Verbatim Storage
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details: Store source text directly instead of extracting facts up front. The raw benchmark result comes from retrieving verbatim content.
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- icon:
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src: /icons/building-2.svg
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alt: Palace Structure
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title: Palace Structure
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details: Wings and rooms give retrieval useful structure. In the project benchmarks, narrowing search scope outperformed flat search.
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- icon:
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src: /icons/search.svg
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alt: Semantic Search
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title: Semantic Search
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details: ChromaDB-powered vector search lets the model retrieve past discussions by topic, project, or room.
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- icon:
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src: /icons/git-merge.svg
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alt: Knowledge Graph
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title: Knowledge Graph
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details: Temporal entity-relationship triples in SQLite. Facts can be added, queried, and invalidated over time.
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- icon:
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src: /icons/wrench.svg
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alt: 19 MCP Tools
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title: 19 MCP Tools
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details: MCP tools expose search, filing, knowledge graph, graph navigation, and diary operations to compatible clients.
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- icon:
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src: /icons/shield-check.svg
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alt: Zero Cloud
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title: Zero Cloud
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details: Core storage and retrieval run locally on ChromaDB and SQLite. Optional reranking features can add an API dependency.
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layout: page
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pageClass: mempalace-home
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---
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<style>
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:root {
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--vp-home-hero-name-color: transparent;
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--vp-home-hero-name-background: linear-gradient(
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135deg,
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#4f46e5 0%,
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#06b6d4 50%,
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#8b5cf6 100%
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);
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}
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</style>
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<div style="max-width: 688px; margin: 0 auto; padding: 48px 24px 0;">
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## Verbatim Retrieval First
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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.
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| System | LongMemEval R@5 | API Required | Cost |
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|--------|----------------|--------------|------|
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| **MemPalace (hybrid)** | **100%** | Optional | Free |
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| Supermemory ASMR | ~99% | Yes | — |
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| **MemPalace (raw)** | **96.6%** | **None** | **Free** |
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| Mastra | 94.87% | Yes | API costs |
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| Mem0 | ~85% | Yes | $19–249/mo |
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The raw 96.6% LongMemEval result is the baseline story: strong recall without requiring an API key or an LLM in the retrieval pipeline.
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<div style="text-align: center; padding-top: 16px;">
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<a href="./reference/benchmarks" style="color: var(--vp-c-brand-1); font-weight: 500;">Full benchmark results →</a>
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</div>
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</div>
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<Landing />
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