ukkit/memcord
by Various
🧠 Privacy-first MCP server for AI memory management. Save, search & organize chat history with intelligent summarization.
MCP
ukkit/memcord
Added 1 June 2026
Overview
A privacy-first MCP server for AI memory management. It saves, searches, and organizes chat history with intelligent summarization. Built in Python, it runs as a local server to keep data private.
Best for
Best for
Developers building privacy-conscious AI agents that need persistent memory
Use cases
- Persist chat history for AI assistants
- Search past conversations by keyword or context
- Summarize long chat logs into concise notes
How to use
Install
curl -fsSL https://github.com/ukkit/memcord/raw/main/install.sh | bash Tools exposed
uvmemcord_initmemcord_savememcord_save_progressmemcord_readmemcord_select_entrymemcord_listmemcord_searchmemcord_querymemcord_zeromemcord_namememcord_configure
Tested with
Claude Code, Claude Desktop, VSCode, Google Antigravity
Notes
A privacy-first MCP server for AI memory management. It saves, searches, and organizes chat history with intelligent summarization. Built in Python, it runs as a local server to keep data private.
66 stars on GitHub. Last updated 2026-05-18. Licensed MIT.
Use cases
- Persist chat history for AI assistants
- Search past conversations by keyword or context
- Summarize long chat logs into concise notes
Pros
- Privacy-first design keeps data on your own infrastructure
- Open source Python codebase easy to inspect and extend
- Intelligent summarization reduces storage and retrieval overhead
Cons
- Relatively new project with limited community adoption (66 stars)
- Requires Python environment and MCP client setup
- No built-in cloud sync or multi-device support
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Privacy-first design keeps data on your own infrastructure
- Open source Python codebase easy to inspect and extend
- Intelligent summarization reduces storage and retrieval overhead
Cons
- Relatively new project with limited community adoption (66 stars)
- Requires Python environment and MCP client setup
- No built-in cloud sync or multi-device support
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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