Merge pull request #270 from tmuskal/main

Package MemPalace as standard Claude and Codex plugins with easy installation
This commit is contained in:
Ben Sigman
2026-04-08 10:41:45 -07:00
committed by GitHub
38 changed files with 1409 additions and 5 deletions
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{
"name": "mempalace",
"interface": {
"displayName": "MemPalace"
},
"plugins": [
{
"name": "mempalace",
"source": {
"source": "local",
"path": "./.codex-plugin"
},
"policy": {
"installation": "AVAILABLE",
"authentication": "NONE"
},
"category": "Coding"
}
]
}
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{
"mempalace": {
"command": "python3",
"args": [
"-m",
"mempalace.mcp_server"
]
}
}
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# MemPalace Claude Code Plugin
A Claude Code plugin that gives your AI a persistent memory system. Mine projects and conversations into a searchable palace backed by ChromaDB, with 19 MCP tools, auto-save hooks, and 5 guided skills.
## Prerequisites
- Python 3.9+
## Installation
### Claude Code Marketplace
```bash
claude plugin marketplace add milla-jovovich/mempalace
claude plugin install --scope user mempalace
```
### Local Clone
```bash
claude plugin add /path/to/mempalace
```
## Post-Install Setup
After installing the plugin, run the init command to complete setup (pip install, MCP configuration, etc.):
```
/mempalace:init
```
## Available Slash Commands
| Command | Description |
|---------|-------------|
| `/mempalace:help` | Show available tools, skills, and architecture |
| `/mempalace:init` | Set up MemPalace -- install, configure MCP, onboard |
| `/mempalace:search` | Search your memories across the palace |
| `/mempalace:mine` | Mine projects and conversations into the palace |
| `/mempalace:status` | Show palace overview -- wings, rooms, drawer counts |
## Hooks
MemPalace registers two hooks that run automatically:
- **Stop** -- Saves conversation context every 15 messages.
- **PreCompact** -- Preserves important memories before context compaction.
Set the `MEMPAL_DIR` environment variable to a directory path to automatically run `mempalace mine` on that directory during each save trigger.
## MCP Server
The plugin automatically configures a local MCP server with 19 tools for storing, searching, and managing memories. No manual MCP setup is required -- `/mempalace:init` handles everything.
## Full Documentation
See the main [README](../README.md) for complete documentation, architecture details, and advanced usage.
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---
description: Show comprehensive MemPalace help — available skills, MCP tools, CLI commands, hooks, and architecture.
allowed-tools: Bash, Read
---
Invoke the generic mempalace skill (using the Skill tool) with the `help` command, then follow its instructions.
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---
description: Set up MemPalace — install the package, initialize a palace, configure MCP server, and verify everything works.
allowed-tools: Bash, Read, Write, Edit, Glob, Grep
---
Invoke the generic mempalace skill (using the Skill tool) with the `init` command, then follow its instructions.
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---
description: Mine projects and conversations into the MemPalace. Supports project files, conversation exports, and auto-classification.
argument-hint: Path to project or conversation export to mine.
allowed-tools: Bash, Read, Write, Edit, Glob, Grep
---
Invoke the generic mempalace skill (using the Skill tool) with the `mine` command, then follow its instructions.
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---
description: Search your memories across the MemPalace using semantic search with wing/room filtering.
argument-hint: Search query, optionally with wing/room filters.
allowed-tools: Bash, Read
---
Invoke the generic mempalace skill (using the Skill tool) with the `search` command, then follow its instructions.
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---
description: Show the current state of your memory palace — wings, rooms, drawer counts, and suggestions.
allowed-tools: Bash, Read
---
Invoke the generic mempalace skill (using the Skill tool) with the `status` command, then follow its instructions.
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{
"description": "MemPalace auto-save and pre-compact hooks",
"hooks": {
"Stop": [
{
"hooks": [
{
"type": "command",
"command": "bash ${CLAUDE_PLUGIN_ROOT}/hooks/mempal-stop-hook.sh"
}
]
}
],
"PreCompact": [
{
"hooks": [
{
"type": "command",
"command": "bash ${CLAUDE_PLUGIN_ROOT}/hooks/mempal-precompact-hook.sh"
}
]
}
]
}
}
@@ -0,0 +1,5 @@
#!/bin/bash
# MemPalace PreCompact Hook — thin wrapper calling Python CLI
# All logic lives in mempalace.hooks_cli for cross-harness extensibility
INPUT=$(cat)
echo "$INPUT" | python3 -m mempalace hook run --hook precompact --harness claude-code
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#!/bin/bash
# MemPalace Stop Hook — thin wrapper calling Python CLI
# All logic lives in mempalace.hooks_cli for cross-harness extensibility
INPUT=$(cat)
echo "$INPUT" | python3 -m mempalace hook run --hook stop --harness claude-code
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{
"name": "mempalace",
"owner": {
"name": "milla-jovovich",
"url": "https://github.com/milla-jovovich"
},
"plugins": [
{
"name": "mempalace",
"source": "./.claude-plugin",
"description": "AI memory system — mine projects and conversations into a searchable palace. 19 MCP tools, auto-save hooks, guided setup.",
"version": "3.0.9",
"author": {
"name": "milla-jovovich"
}
}
]
}
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{
"name": "mempalace",
"version": "3.0.9",
"description": "Give your AI a memory — mine projects and conversations into a searchable palace. 19 MCP tools, auto-save hooks, and guided setup.",
"author": {
"name": "milla-jovovich"
},
"license": "MIT",
"commands": [],
"mcpServers": {
"mempalace": {
"command": "python3",
"args": [
"-m",
"mempalace.mcp_server"
]
}
},
"keywords": [
"memory",
"ai",
"rag",
"mcp",
"chromadb",
"palace",
"search"
],
"repository": "https://github.com/milla-jovovich/mempalace"
}
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---
name: mempalace
description: MemPalace — mine projects and conversations into a searchable memory palace. Use when asked about mempalace, memory palace, mining memories, searching memories, or palace setup.
allowed-tools: Bash, Read, Write, Edit, Glob, Grep
---
# MemPalace
A searchable memory palace for AI — mine projects and conversations, then search them semantically.
## Prerequisites
Ensure `mempalace` is installed:
```bash
mempalace --version
```
If not installed:
```bash
pip install mempalace
```
## Usage
MemPalace provides dynamic instructions via the CLI. To get instructions for any operation:
```bash
mempalace instructions <command>
```
Where `<command>` is one of: `help`, `init`, `mine`, `search`, `status`.
Run the appropriate instructions command, then follow the returned instructions step by step.
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# MemPalace - Codex CLI Plugin
Give your AI a persistent memory -- mine projects and conversations into a searchable palace backed by ChromaDB, with 19 MCP tools, auto-save hooks, and guided skills.
## Prerequisites
- Python 3.9+
- Codex CLI installed and configured
- `pip install mempalace`
## Installation
### Local Install
1. Copy or symlink the `.codex-plugin` directory into your project root:
```bash
cp -r .codex-plugin /path/to/your/project/.codex-plugin
```
2. Verify the plugin is detected:
```bash
codex --plugins
```
3. Initialize your palace:
```bash
codex /init
```
### Git Install
1. Clone the MemPalace repository:
```bash
git clone https://github.com/milla-jovovich/mempalace.git
cd mempalace
```
2. Install the Python package:
```bash
pip install -e .
```
3. The `.codex-plugin` directory is already in the repo root. Codex CLI will detect it automatically when you run Codex from inside the repository.
4. Initialize your palace:
```bash
codex /init
```
## Available Skills
| Skill | Description |
|-------|-------------|
| `/help` | Show available commands and usage tips |
| `/init` | Initialize a new memory palace |
| `/search` | Semantic search across all mined memories |
| `/mine` | Mine a project or conversation into your palace |
| `/status` | Show palace status, room counts, and health |
## Hooks
The plugin includes auto-save hooks that run on session stop (every 15 messages) and before context compaction, automatically preserving conversation context into your palace.
Set the `MEMPAL_DIR` environment variable to a directory path to automatically run `mempalace mine` on that directory during each save trigger.
## Support
- Repository: https://github.com/milla-jovovich/mempalace
- Issues: https://github.com/milla-jovovich/mempalace/issues
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{
"hooks": {
"SessionStart": [
{
"matcher": "*",
"hooks": [
{
"type": "command",
"command": "${CODEX_PLUGIN_ROOT}/hooks/mempal-hook.sh session-start"
}
]
}
],
"Stop": [
{
"matcher": "*",
"hooks": [
{
"type": "command",
"command": "${CODEX_PLUGIN_ROOT}/hooks/mempal-hook.sh stop"
}
]
}
],
"PreCompact": [
{
"matcher": "*",
"hooks": [
{
"type": "command",
"command": "${CODEX_PLUGIN_ROOT}/hooks/mempal-hook.sh precompact"
}
]
}
]
}
}
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#!/usr/bin/env bash
set -euo pipefail
HOOK_NAME="${1:?Usage: mempal-hook.sh <hook-name>}"
INPUT_FILE=$(mktemp) || { echo "Failed to create temp file" >&2; exit 1; }
cat > "$INPUT_FILE"
cat "$INPUT_FILE" | python3 -m mempalace hook run --hook "$HOOK_NAME" --harness codex
EXIT_CODE=$?
rm -f "$INPUT_FILE" 2>/dev/null
exit $EXIT_CODE
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{
"name": "mempalace",
"version": "3.0.9",
"description": "Give your AI a memory — mine projects and conversations into a searchable palace. 19 MCP tools, auto-save hooks, and guided setup.",
"author": {
"name": "milla-jovovich"
},
"homepage": "https://github.com/milla-jovovich/mempalace",
"repository": "https://github.com/milla-jovovich/mempalace",
"license": "MIT",
"keywords": [
"memory",
"ai",
"rag",
"mcp",
"chromadb",
"palace",
"search"
],
"skills": "./skills/",
"hooks": "./hooks.json",
"mcpServers": {
"mempalace": {
"command": "python3",
"args": [
"-m",
"mempalace.mcp_server"
]
}
},
"interface": {
"displayName": "MemPalace",
"shortDescription": "AI memory system for Codex",
"longDescription": "Give your AI a persistent memory — mine projects and conversations into a searchable palace backed by ChromaDB, with 19 MCP tools, auto-save hooks, and guided skills.",
"developerName": "milla-jovovich",
"category": "Coding",
"capabilities": [
"Interactive",
"Read",
"Write"
],
"websiteURL": "https://github.com/milla-jovovich/mempalace",
"privacyPolicyURL": "https://github.com/milla-jovovich/mempalace",
"termsOfServiceURL": "https://github.com/milla-jovovich/mempalace",
"defaultPrompt": [
"Search my memories for recent decisions",
"Mine this project into my memory palace",
"Show my palace status and room counts"
],
"brandColor": "#7C3AED"
}
}
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---
name: help
description: Show MemPalace help — available commands, usage tips, and getting started guidance.
allowed-tools: Bash, Read
---
# MemPalace Help
Run the following command and follow the returned instructions step by step:
```bash
mempalace instructions help
```
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---
name: init
description: Initialize a new MemPalace — guided setup for your AI memory palace with ChromaDB backend.
allowed-tools: Bash, Read, Write, Edit
---
# MemPalace Init
Run the following command and follow the returned instructions step by step:
```bash
mempalace instructions init
```
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@@ -0,0 +1,13 @@
---
name: mine
description: Mine a project or conversation into your MemPalace — extract and store memories for later retrieval.
allowed-tools: Bash, Read, Glob, Grep
---
# MemPalace Mine
Run the following command and follow the returned instructions step by step:
```bash
mempalace instructions mine
```
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---
name: search
description: Search your MemPalace — semantic search across all mined memories, projects, and conversations.
allowed-tools: Bash, Read
---
# MemPalace Search
Run the following command and follow the returned instructions step by step:
```bash
mempalace instructions search
```
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@@ -0,0 +1,13 @@
---
name: status
description: Show MemPalace status — room counts, storage usage, and palace health.
allowed-tools: Bash, Read
---
# MemPalace Status
Run the following command and follow the returned instructions step by step:
```bash
mempalace instructions status
```
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name: Bump Version
on:
push:
branches: [main]
jobs:
bump-version:
runs-on: ubuntu-latest
permissions:
contents: write
steps:
- uses: actions/checkout@v6
- name: Bump patch version
run: |
CURRENT=$(python3 -c "exec(open('mempalace/version.py').read()); print(__version__)")
IFS='.' read -r MAJOR MINOR PATCH <<< "$CURRENT"
PATCH=$((PATCH + 1))
NEW="${MAJOR}.${MINOR}.${PATCH}"
echo "__version__ = \"${NEW}\"" > mempalace/version.py
# Prepend docstring
sed -i '1i"""Single source of truth for the MemPalace package version."""\n' mempalace/version.py
echo "version=$NEW" >> "$GITHUB_OUTPUT"
id: version
- name: Sync plugin.json
run: |
jq --arg v "${{ steps.version.outputs.version }}" '.version = $v' .claude-plugin/plugin.json > tmp.json && mv tmp.json .claude-plugin/plugin.json
- name: Sync marketplace.json
run: |
jq --arg v "${{ steps.version.outputs.version }}" '.plugins[0].version = $v' .claude-plugin/marketplace.json > tmp.json && mv tmp.json .claude-plugin/marketplace.json
- name: Sync codex plugin.json
run: |
jq --arg v "${{ steps.version.outputs.version }}" '.version = $v' .codex-plugin/plugin.json > tmp.json && mv tmp.json .codex-plugin/plugin.json
- name: Sync pyproject.toml
run: |
sed -i "s/^version = \".*\"/version = \"${{ steps.version.outputs.version }}\"/" pyproject.toml
- name: Commit and push
run: |
git config user.name "github-actions[bot]"
git config user.email "github-actions[bot]@users.noreply.github.com"
git add mempalace/version.py .claude-plugin/plugin.json .claude-plugin/marketplace.json .codex-plugin/plugin.json pyproject.toml
if ! git diff --staged --quiet; then
git commit -m "chore: bump version to ${{ steps.version.outputs.version }}"
git push
fi
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@@ -18,7 +18,7 @@ jobs:
with:
python-version: ${{ matrix.python-version }}
- run: pip install -e ".[dev]"
- run: python -m pytest tests/ -v
- run: python -m pytest tests/ -v --cov=mempalace --cov-report=term-missing --cov-fail-under=30
lint:
runs-on: ubuntu-latest
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@@ -5,3 +5,4 @@ __pycache__/
*.pyc
.pytest_cache/
mempal.yaml
.a5c/
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@@ -112,6 +112,17 @@ Three mining modes: **projects** (code and docs), **convos** (conversation expor
After the one-time setup (install → init → mine), you don't run MemPalace commands manually. Your AI uses it for you. There are two ways, depending on which AI you use.
### With Claude Code (recommended)
Native marketplace install:
```bash
claude plugin marketplace add milla-jovovich/mempalace
claude plugin install --scope user mempalace
```
Restart Claude Code, then type `/skills` to verify "mempalace" appears.
### With Claude, ChatGPT, Cursor, Gemini (MCP-compatible tools)
```bash
@@ -439,6 +450,11 @@ Letta charges $20200/mo for agent-managed memory. MemPalace does it with a wi
## MCP Server
```bash
# Via plugin (recommended)
claude plugin marketplace add milla-jovovich/mempalace
claude plugin install --scope user mempalace
# Or manually
claude mcp add mempalace -- python -m mempalace.mcp_server
```
@@ -509,6 +525,8 @@ Two hooks for Claude Code that automatically save memories during work:
}
```
**Optional auto-ingest:** Set the `MEMPAL_DIR` environment variable to a directory path and the hooks will automatically run `mempalace mine` on that directory during each save trigger (background on stop, synchronous on precompact).
---
## Benchmarks
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@@ -226,6 +226,20 @@ def cmd_repair(args):
print(f"\n{'=' * 55}\n")
def cmd_hook(args):
"""Run hook logic: reads JSON from stdin, outputs JSON to stdout."""
from .hooks_cli import run_hook
run_hook(hook_name=args.hook, harness=args.harness)
def cmd_instructions(args):
"""Output skill instructions to stdout."""
from .instructions_cli import run_instructions
run_instructions(name=args.name)
def cmd_compress(args):
"""Compress drawers in a wing using AAAK Dialect."""
import chromadb
@@ -451,6 +465,35 @@ def main():
help="Only split files containing at least N sessions (default: 2)",
)
# hook
p_hook = sub.add_parser(
"hook",
help="Run hook logic (reads JSON from stdin, outputs JSON to stdout)",
)
hook_sub = p_hook.add_subparsers(dest="hook_action")
p_hook_run = hook_sub.add_parser("run", help="Execute a hook")
p_hook_run.add_argument(
"--hook",
required=True,
choices=["session-start", "stop", "precompact"],
help="Hook name to run",
)
p_hook_run.add_argument(
"--harness",
required=True,
choices=["claude-code", "codex"],
help="Harness type (determines stdin JSON format)",
)
# instructions
p_instructions = sub.add_parser(
"instructions",
help="Output skill instructions to stdout",
)
instructions_sub = p_instructions.add_subparsers(dest="instructions_name")
for instr_name in ["init", "search", "mine", "help", "status"]:
instructions_sub.add_parser(instr_name, help=f"Output {instr_name} instructions")
# repair
sub.add_parser(
"repair",
@@ -466,6 +509,23 @@ def main():
parser.print_help()
return
# Handle two-level subcommands
if args.command == "hook":
if not getattr(args, "hook_action", None):
p_hook.print_help()
return
cmd_hook(args)
return
if args.command == "instructions":
name = getattr(args, "instructions_name", None)
if not name:
p_instructions.print_help()
return
args.name = name
cmd_instructions(args)
return
dispatch = {
"init": cmd_init,
"mine": cmd_mine,
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"""
Hook logic for MemPalace — Python implementation of session-start, stop, and precompact hooks.
Reads JSON from stdin, outputs JSON to stdout.
Supported hooks: session-start, stop, precompact
Supported harnesses: claude-code, codex (extensible to cursor, gemini, etc.)
"""
import json
import os
import re
import subprocess
import sys
from datetime import datetime
from pathlib import Path
SAVE_INTERVAL = 15
STATE_DIR = Path.home() / ".mempalace" / "hook_state"
STOP_BLOCK_REASON = (
"AUTO-SAVE checkpoint. Save key topics, decisions, quotes, and code "
"from this session to your memory system. Organize into appropriate "
"categories. Use verbatim quotes where possible. Continue conversation "
"after saving."
)
PRECOMPACT_BLOCK_REASON = (
"COMPACTION IMMINENT. Save ALL topics, decisions, quotes, code, and "
"important context from this session to your memory system. Be thorough "
"\u2014 after compaction, detailed context will be lost. Organize into "
"appropriate categories. Use verbatim quotes where possible. Save "
"everything, then allow compaction to proceed."
)
def _sanitize_session_id(session_id: str) -> str:
"""Only allow alnum, dash, underscore to prevent path traversal."""
sanitized = re.sub(r"[^a-zA-Z0-9_-]", "", session_id)
return sanitized or "unknown"
def _count_human_messages(transcript_path: str) -> int:
"""Count human messages in a JSONL transcript, skipping command-messages."""
path = Path(transcript_path).expanduser()
if not path.is_file():
return 0
count = 0
try:
with open(path, encoding="utf-8", errors="replace") as f:
for line in f:
try:
entry = json.loads(line)
msg = entry.get("message", {})
if isinstance(msg, dict) and msg.get("role") == "user":
content = msg.get("content", "")
if isinstance(content, str):
if "<command-message>" in content:
continue
elif isinstance(content, list):
text = " ".join(
b.get("text", "") for b in content if isinstance(b, dict)
)
if "<command-message>" in text:
continue
count += 1
except (json.JSONDecodeError, AttributeError):
pass
except OSError:
return 0
return count
def _log(message: str):
"""Append to hook state log file."""
try:
STATE_DIR.mkdir(parents=True, exist_ok=True)
log_path = STATE_DIR / "hook.log"
timestamp = datetime.now().strftime("%H:%M:%S")
with open(log_path, "a") as f:
f.write(f"[{timestamp}] {message}\n")
except OSError:
pass
def _output(data: dict):
"""Print JSON to stdout with consistent formatting (pretty-printed)."""
print(json.dumps(data, indent=2, ensure_ascii=False))
def _maybe_auto_ingest():
"""If MEMPAL_DIR is set and exists, run mempalace mine in background."""
mempal_dir = os.environ.get("MEMPAL_DIR", "")
if mempal_dir and os.path.isdir(mempal_dir):
try:
log_path = STATE_DIR / "hook.log"
with open(log_path, "a") as log_f:
subprocess.Popen(
[sys.executable, "-m", "mempalace", "mine", mempal_dir],
stdout=log_f,
stderr=log_f,
)
except OSError:
pass
SUPPORTED_HARNESSES = {"claude-code", "codex"}
def _parse_harness_input(data: dict, harness: str) -> dict:
"""Parse stdin JSON according to the harness type."""
if harness not in SUPPORTED_HARNESSES:
print(f"Unknown harness: {harness}", file=sys.stderr)
sys.exit(1)
return {
"session_id": _sanitize_session_id(str(data.get("session_id", "unknown"))),
"stop_hook_active": data.get("stop_hook_active", False),
"transcript_path": str(data.get("transcript_path", "")),
}
def hook_stop(data: dict, harness: str):
"""Stop hook: block every N messages for auto-save."""
parsed = _parse_harness_input(data, harness)
session_id = parsed["session_id"]
stop_hook_active = parsed["stop_hook_active"]
transcript_path = parsed["transcript_path"]
# If already in a save cycle, let through (infinite-loop prevention)
if str(stop_hook_active).lower() in ("true", "1", "yes"):
_output({})
return
# Count human messages
exchange_count = _count_human_messages(transcript_path)
# Track last save point
STATE_DIR.mkdir(parents=True, exist_ok=True)
last_save_file = STATE_DIR / f"{session_id}_last_save"
last_save = 0
if last_save_file.is_file():
try:
last_save = int(last_save_file.read_text().strip())
except (ValueError, OSError):
last_save = 0
since_last = exchange_count - last_save
_log(f"Session {session_id}: {exchange_count} exchanges, {since_last} since last save")
if since_last >= SAVE_INTERVAL and exchange_count > 0:
# Update last save point
try:
last_save_file.write_text(str(exchange_count))
except OSError:
pass
_log(f"TRIGGERING SAVE at exchange {exchange_count}")
# Optional: auto-ingest if MEMPAL_DIR is set
_maybe_auto_ingest()
_output({"decision": "block", "reason": STOP_BLOCK_REASON})
else:
_output({})
def hook_session_start(data: dict, harness: str):
"""Session start hook: initialize session tracking state."""
parsed = _parse_harness_input(data, harness)
session_id = parsed["session_id"]
_log(f"SESSION START for session {session_id}")
# Initialize session state directory
STATE_DIR.mkdir(parents=True, exist_ok=True)
# Pass through — no blocking on session start
_output({})
def hook_precompact(data: dict, harness: str):
"""Precompact hook: always block with comprehensive save instruction."""
parsed = _parse_harness_input(data, harness)
session_id = parsed["session_id"]
_log(f"PRE-COMPACT triggered for session {session_id}")
# Optional: auto-ingest synchronously before compaction (so memories land first)
mempal_dir = os.environ.get("MEMPAL_DIR", "")
if mempal_dir and os.path.isdir(mempal_dir):
try:
log_path = STATE_DIR / "hook.log"
with open(log_path, "a") as log_f:
subprocess.run(
[sys.executable, "-m", "mempalace", "mine", mempal_dir],
stdout=log_f,
stderr=log_f,
timeout=60,
)
except OSError:
pass
# Always block -- compaction = save everything
_output({"decision": "block", "reason": PRECOMPACT_BLOCK_REASON})
def run_hook(hook_name: str, harness: str):
"""Main entry point: read stdin JSON, dispatch to hook handler."""
try:
data = json.load(sys.stdin)
except (json.JSONDecodeError, EOFError):
_log("WARNING: Failed to parse stdin JSON, proceeding with empty data")
data = {}
hooks = {
"session-start": hook_session_start,
"stop": hook_stop,
"precompact": hook_precompact,
}
handler = hooks.get(hook_name)
if handler is None:
print(f"Unknown hook: {hook_name}", file=sys.stderr)
sys.exit(1)
handler(data, harness)
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# MemPalace
AI memory system. Store everything, find anything. Local, free, no API key.
---
## Slash Commands
| Command | Description |
|----------------------|--------------------------------|
| /mempalace:init | Install and set up MemPalace |
| /mempalace:search | Search your memories |
| /mempalace:mine | Mine projects and conversations|
| /mempalace:status | Palace overview and stats |
| /mempalace:help | This help message |
---
## MCP Tools (19)
### Palace (read)
- mempalace_status -- Palace status and stats
- mempalace_list_wings -- List all wings
- mempalace_list_rooms -- List rooms in a wing
- mempalace_get_taxonomy -- Get the full taxonomy tree
- mempalace_search -- Search memories by query
- mempalace_check_duplicate -- Check if a memory already exists
- mempalace_get_aaak_spec -- Get the AAAK specification
### Palace (write)
- mempalace_add_drawer -- Add a new memory (drawer)
- mempalace_delete_drawer -- Delete a memory (drawer)
### Knowledge Graph
- mempalace_kg_query -- Query the knowledge graph
- mempalace_kg_add -- Add a knowledge graph entry
- mempalace_kg_invalidate -- Invalidate a knowledge graph entry
- mempalace_kg_timeline -- View knowledge graph timeline
- mempalace_kg_stats -- Knowledge graph statistics
### Navigation
- mempalace_traverse -- Traverse the palace structure
- mempalace_find_tunnels -- Find cross-wing connections
- mempalace_graph_stats -- Graph connectivity statistics
### Agent Diary
- mempalace_diary_write -- Write a diary entry
- mempalace_diary_read -- Read diary entries
---
## CLI Commands
mempalace init <dir> Initialize a new palace
mempalace mine <dir> Mine a project (default mode)
mempalace mine <dir> --mode convos Mine conversation exports
mempalace search "query" Search your memories
mempalace split <dir> Split large transcript files
mempalace wake-up Load palace into context
mempalace compress Compress palace storage
mempalace status Show palace status
mempalace repair Rebuild vector index
mempalace hook run Run hook logic (for harness integration)
mempalace instructions <name> Output skill instructions
---
## Auto-Save Hooks
- Stop hook -- Automatically saves memories every 15 messages. Counts human
messages in the session transcript (skipping command-messages). When the
threshold is reached, blocks the AI with a save instruction. Uses
~/.mempalace/hook_state/ to track save points per session. If
stop_hook_active is true, passes through to prevent infinite loops.
- PreCompact hook -- Emergency save before context compaction. Always blocks
with a comprehensive save instruction because compaction means the AI is
about to lose detailed context.
Hooks read JSON from stdin and output JSON to stdout. They can be invoked via:
echo '{"session_id":"abc","stop_hook_active":false,"transcript_path":"..."}' | mempalace hook run --hook stop --harness claude-code
---
## Architecture
Wings (projects/people)
+-- Rooms (topics)
+-- Closets (summaries)
+-- Drawers (verbatim memories)
Halls connect rooms within a wing.
Tunnels connect rooms across wings.
The palace is stored locally using ChromaDB for vector search and SQLite for
metadata. No cloud services or API keys required.
---
## Getting Started
1. /mempalace:init -- Set up your palace
2. /mempalace:mine -- Mine a project or conversation
3. /mempalace:search -- Find what you stored
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# MemPalace Init
Guide the user through a complete MemPalace setup. Follow each step in order,
stopping to report errors and attempt remediation before proceeding.
## Step 1: Check Python version
Run `python3 --version` (or `python --version` on Windows) and confirm the
version is 3.9 or higher. If Python is not found or the version is too old,
tell the user they need Python 3.9+ installed and stop.
## Step 2: Check if mempalace is already installed
Run `pip show mempalace` to see if the package is already present. If it is,
report the installed version and skip to Step 4.
## Step 3: Install mempalace
Run `pip install mempalace`.
### Error handling -- pip failures
If `pip install mempalace` fails, try these fallbacks in order:
1. Try `pip3 install mempalace`
2. Try `python -m pip install mempalace` (or `python3 -m pip install mempalace`)
3. If the error mentions missing build tools or compilation failures (commonly
from chromadb or its native dependencies):
- On Linux/macOS: suggest `sudo apt-get install build-essential python3-dev`
(Debian/Ubuntu) or `xcode-select --install` (macOS)
- On Windows: suggest installing Microsoft C++ Build Tools from
https://visualstudio.microsoft.com/visual-cpp-build-tools/
- Then retry the install command
4. If all attempts fail, report the error clearly and stop.
## Step 4: Ask for project directory
Ask the user which project directory they want to initialize with MemPalace.
Offer the current working directory as the default. Wait for their response
before continuing.
## Step 5: Initialize the palace
Run `mempalace init <dir>` where `<dir>` is the directory from Step 4.
If this fails, report the error and stop.
## Step 6: Configure MCP server
Run the following command to register the MemPalace MCP server with Claude:
claude mcp add mempalace -- python -m mempalace.mcp_server
If this fails, report the error but continue to the next step (MCP
configuration can be done manually later).
## Step 7: Verify installation
Run `mempalace status` and confirm the output shows a healthy palace.
If the command fails or reports errors, walk the user through troubleshooting
based on the output.
## Step 8: Show next steps
Tell the user setup is complete and suggest these next actions:
- Use /mempalace:mine to start adding data to their palace
- Use /mempalace:search to query their palace and retrieve stored knowledge
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# MemPalace Mine
When the user invokes this skill, follow these steps:
## 1. Ask what to mine
Ask the user what they want to mine and where the source data is located.
Clarify:
- Is it a project directory (code, docs, notes)?
- Is it conversation exports (Claude, ChatGPT, Slack)?
- Do they want auto-classification (decisions, milestones, problems)?
## 2. Choose the mining mode
There are three mining modes:
### Project mining
mempalace mine <dir>
Mines code files, documentation, and notes from a project directory.
### Conversation mining
mempalace mine <dir> --mode convos
Mines conversation exports from Claude, ChatGPT, or Slack into the palace.
### General extraction (auto-classify)
mempalace mine <dir> --mode convos --extract general
Auto-classifies mined content into decisions, milestones, and problems.
## 3. Optionally split mega-files first
If the source directory contains very large files, suggest splitting them
before mining:
mempalace split <dir> [--dry-run]
Use --dry-run first to preview what will be split without making changes.
## 4. Optionally tag with a wing
If the user wants to organize mined content under a specific wing, add the
--wing flag:
mempalace mine <dir> --wing <name>
## 5. Show progress and results
Run the selected mining command and display progress as it executes. After
completion, summarize the results including:
- Number of items mined
- Categories or classifications applied
- Any warnings or skipped files
## 6. Suggest next steps
After mining completes, suggest the user try:
- /mempalace:search -- search the newly mined content
- /mempalace:status -- check the current state of their palace
- Mine more data from additional sources
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# MemPalace Search
When the user wants to search their MemPalace memories, follow these steps:
## 1. Parse the Search Query
Extract the core search intent from the user's message. Identify any explicit
or implicit filters:
- Wing -- a top-level category (e.g., "work", "personal", "research")
- Room -- a sub-category within a wing
- Keywords / semantic query -- the actual search terms
## 2. Determine Wing/Room Filters
If the user mentions a specific domain, topic area, or context, map it to the
appropriate wing and/or room. If unsure, omit filters to search globally. You
can discover the taxonomy first if needed.
## 3. Use MCP Tools (Preferred)
If MCP tools are available, use them in this priority order:
- mempalace_search(query, wing, room) -- Primary search tool. Pass the semantic
query and any wing/room filters.
- mempalace_list_wings -- Discover all available wings. Use when the user asks
what categories exist or you need to resolve a wing name.
- mempalace_list_rooms(wing) -- List rooms within a specific wing. Use to help
the user navigate or to resolve a room name.
- mempalace_get_taxonomy -- Retrieve the full wing/room/drawer tree. Use when
the user wants an overview of their entire memory structure.
- mempalace_traverse(room) -- Walk the knowledge graph starting from a room.
Use when the user wants to explore connections and related memories.
- mempalace_find_tunnels(wing1, wing2) -- Find cross-wing connections (tunnels)
between two wings. Use when the user asks about relationships between
different knowledge domains.
## 4. CLI Fallback
If MCP tools are not available, fall back to the CLI:
mempalace search "query" [--wing X] [--room Y]
## 5. Present Results
When presenting search results:
- Always include source attribution: wing, room, and drawer for each result
- Show relevance or similarity scores if available
- Group results by wing/room when returning multiple hits
- Quote or summarize the memory content clearly
## 6. Offer Next Steps
After presenting results, offer the user options to go deeper:
- Drill deeper -- search within a specific room or narrow the query
- Traverse -- explore the knowledge graph from a related room
- Check tunnels -- look for cross-wing connections if the topic spans domains
- Browse taxonomy -- show the full structure for manual exploration
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# MemPalace Status
Display the current state of the user's memory palace.
## Step 1: Gather Palace Status
Check if MCP tools are available (look for mempalace_status in available tools).
- If MCP is available: Call the mempalace_status tool to retrieve palace state.
- If MCP is not available: Run the CLI command: mempalace status
## Step 2: Display Wing/Room/Drawer Counts
Present the palace structure counts clearly:
- Number of wings
- Number of rooms
- Number of drawers
- Total memories stored
Keep the output concise -- use a brief summary format, not verbose tables.
## Step 3: Knowledge Graph Stats (MCP only)
If MCP tools are available, also call:
- mempalace_kg_stats -- for a knowledge graph overview (triple count, entity
count, relationship types)
- mempalace_graph_stats -- for connectivity information (connected components,
average connections per entity)
Present these alongside the palace counts in a unified summary.
## Step 4: Suggest Next Actions
Based on the current state, suggest one relevant action:
- Empty palace (zero memories): Suggest "Try /mempalace:mine to add data from
files, URLs, or text."
- Has data but no knowledge graph (memories exist but KG stats show zero
triples): Suggest "Consider adding knowledge graph triples for richer
queries."
- Healthy palace (has memories and KG data): Suggest "Use /mempalace:search to
query your memories."
## Output Style
- Be concise and informative -- aim for a quick glance, not a report.
- Use short labels and numbers, not prose paragraphs.
- If any step fails or a tool is unavailable, note it briefly and continue
with what is available.
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"""
Instruction text output for MemPalace CLI commands.
Each instruction lives as a .md file in the instructions/ directory
inside the package. The CLI reads and prints the file content.
"""
import sys
from pathlib import Path
INSTRUCTIONS_DIR = Path(__file__).parent / "instructions"
AVAILABLE = ["init", "search", "mine", "help", "status"]
def run_instructions(name: str):
"""Read and print the instruction .md file for the given name."""
if name not in AVAILABLE:
print(f"Unknown instructions: {name}", file=sys.stderr)
print(f"Available: {', '.join(sorted(AVAILABLE))}", file=sys.stderr)
sys.exit(1)
md_path = INSTRUCTIONS_DIR / f"{name}.md"
if not md_path.is_file():
print(f"Instructions file not found: {md_path}", file=sys.stderr)
sys.exit(1)
print(md_path.read_text())
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"""Single source of truth for the MemPalace package version."""
__version__ = "3.0.0"
__version__ = "3.0.9"
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@@ -1,6 +1,6 @@
[project]
name = "mempalace"
version = "3.0.0"
version = "3.0.9"
description = "Give your AI a memory — mine projects and conversations into a searchable palace. No API key required."
readme = "README.md"
requires-python = ">=3.9"
@@ -38,11 +38,11 @@ Repository = "https://github.com/milla-jovovich/mempalace"
mempalace = "mempalace:main"
[project.optional-dependencies]
dev = ["pytest>=7.0", "ruff>=0.4.0"]
dev = ["pytest>=7.0", "pytest-cov>=4.0", "ruff>=0.4.0"]
spellcheck = ["autocorrect>=2.0"]
[dependency-groups]
dev = ["pytest>=7.0", "ruff>=0.4.0"]
dev = ["pytest>=7.0", "pytest-cov>=4.0", "ruff>=0.4.0"]
[build-system]
requires = ["hatchling"]
@@ -64,3 +64,14 @@ quote-style = "double"
[tool.pytest.ini_options]
testpaths = ["tests"]
[tool.coverage.run]
source = ["mempalace"]
[tool.coverage.report]
fail_under = 30
show_missing = true
exclude_lines = [
"if __name__",
"pragma: no cover",
]
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import contextlib
import json
from pathlib import Path
from unittest.mock import patch
from mempalace.hooks_cli import (
SAVE_INTERVAL,
STOP_BLOCK_REASON,
PRECOMPACT_BLOCK_REASON,
_count_human_messages,
_sanitize_session_id,
hook_stop,
hook_session_start,
hook_precompact,
)
# --- _sanitize_session_id ---
def test_sanitize_normal_id():
assert _sanitize_session_id("abc-123_XYZ") == "abc-123_XYZ"
def test_sanitize_strips_dangerous_chars():
assert _sanitize_session_id("../../etc/passwd") == "etcpasswd"
def test_sanitize_empty_returns_unknown():
assert _sanitize_session_id("") == "unknown"
assert _sanitize_session_id("!!!") == "unknown"
# --- _count_human_messages ---
def _write_transcript(path: Path, entries: list[dict]):
with open(path, "w", encoding="utf-8") as f:
for entry in entries:
f.write(json.dumps(entry) + "\n")
def test_count_human_messages_basic(tmp_path):
transcript = tmp_path / "t.jsonl"
_write_transcript(transcript, [
{"message": {"role": "user", "content": "hello"}},
{"message": {"role": "assistant", "content": "hi"}},
{"message": {"role": "user", "content": "bye"}},
])
assert _count_human_messages(str(transcript)) == 2
def test_count_skips_command_messages(tmp_path):
transcript = tmp_path / "t.jsonl"
_write_transcript(transcript, [
{"message": {"role": "user", "content": "<command-message>status</command-message>"}},
{"message": {"role": "user", "content": "real question"}},
])
assert _count_human_messages(str(transcript)) == 1
def test_count_handles_list_content(tmp_path):
transcript = tmp_path / "t.jsonl"
_write_transcript(transcript, [
{"message": {"role": "user", "content": [{"type": "text", "text": "hello"}]}},
{"message": {"role": "user", "content": [{"type": "text", "text": "<command-message>x</command-message>"}]}},
])
assert _count_human_messages(str(transcript)) == 1
def test_count_missing_file():
assert _count_human_messages("/nonexistent/path.jsonl") == 0
def test_count_empty_file(tmp_path):
transcript = tmp_path / "t.jsonl"
transcript.write_text("")
assert _count_human_messages(str(transcript)) == 0
def test_count_malformed_json_lines(tmp_path):
transcript = tmp_path / "t.jsonl"
transcript.write_text('not json\n{"message": {"role": "user", "content": "ok"}}\n')
assert _count_human_messages(str(transcript)) == 1
# --- hook_stop ---
def _capture_hook_output(hook_fn, data, harness="claude-code", state_dir=None):
"""Run a hook and capture its JSON stdout output."""
import io
buf = io.StringIO()
patches = [patch("mempalace.hooks_cli._output", side_effect=lambda d: buf.write(json.dumps(d)))]
if state_dir:
patches.append(patch("mempalace.hooks_cli.STATE_DIR", state_dir))
with contextlib.ExitStack() as stack:
for p in patches:
stack.enter_context(p)
hook_fn(data, harness)
return json.loads(buf.getvalue())
def test_stop_hook_passthrough_when_active(tmp_path):
with patch("mempalace.hooks_cli.STATE_DIR", tmp_path):
result = _capture_hook_output(
hook_stop,
{"session_id": "test", "stop_hook_active": True, "transcript_path": ""},
state_dir=tmp_path,
)
assert result == {}
def test_stop_hook_passthrough_when_active_string(tmp_path):
with patch("mempalace.hooks_cli.STATE_DIR", tmp_path):
result = _capture_hook_output(
hook_stop,
{"session_id": "test", "stop_hook_active": "true", "transcript_path": ""},
state_dir=tmp_path,
)
assert result == {}
def test_stop_hook_passthrough_below_interval(tmp_path):
transcript = tmp_path / "t.jsonl"
_write_transcript(transcript, [
{"message": {"role": "user", "content": f"msg {i}"}}
for i in range(SAVE_INTERVAL - 1)
])
result = _capture_hook_output(
hook_stop,
{"session_id": "test", "stop_hook_active": False, "transcript_path": str(transcript)},
state_dir=tmp_path,
)
assert result == {}
def test_stop_hook_blocks_at_interval(tmp_path):
transcript = tmp_path / "t.jsonl"
_write_transcript(transcript, [
{"message": {"role": "user", "content": f"msg {i}"}}
for i in range(SAVE_INTERVAL)
])
result = _capture_hook_output(
hook_stop,
{"session_id": "test", "stop_hook_active": False, "transcript_path": str(transcript)},
state_dir=tmp_path,
)
assert result["decision"] == "block"
assert result["reason"] == STOP_BLOCK_REASON
def test_stop_hook_tracks_save_point(tmp_path):
transcript = tmp_path / "t.jsonl"
_write_transcript(transcript, [
{"message": {"role": "user", "content": f"msg {i}"}}
for i in range(SAVE_INTERVAL)
])
data = {"session_id": "test", "stop_hook_active": False, "transcript_path": str(transcript)}
# First call blocks
result = _capture_hook_output(hook_stop, data, state_dir=tmp_path)
assert result["decision"] == "block"
# Second call with same count passes through (already saved)
result = _capture_hook_output(hook_stop, data, state_dir=tmp_path)
assert result == {}
# --- hook_session_start ---
def test_session_start_passes_through(tmp_path):
result = _capture_hook_output(
hook_session_start,
{"session_id": "test"},
state_dir=tmp_path,
)
assert result == {}
# --- hook_precompact ---
def test_precompact_always_blocks(tmp_path):
result = _capture_hook_output(
hook_precompact,
{"session_id": "test"},
state_dir=tmp_path,
)
assert result["decision"] == "block"
assert result["reason"] == PRECOMPACT_BLOCK_REASON