Pim Messelink
9f5b8f5fd6
The MCP server config used `python -m mempalace.mcp_server` which fails when mempalace is installed via pipx or uv, since the system python cannot find the module in the isolated venv. Adding a `mempalace-mcp` console_scripts entry point ensures the MCP server works regardless of installation method (pip, pipx, uv, conda). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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
claude plugin marketplace add MemPalace/mempalace
claude plugin install --scope user mempalace
Local Clone
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 for complete documentation, architecture details, and advanced usage.