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ukkit/memcord

by Various

🧠 Privacy-first MCP server for AI memory management. Save, search & organize chat history with intelligent summarization.

U

MCP

ukkit/memcord

Added 1 June 2026

#ai-assistant #ai-memory #antigravity #chat-history #claude-desktop #conversation-management #developer-tools #google-antigravity

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

  • uv
  • memcord_init
  • memcord_save
  • memcord_save_progress
  • memcord_read
  • memcord_select_entry
  • memcord_list
  • memcord_search
  • memcord_query
  • memcord_zero
  • memcord_name
  • memcord_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
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