iai-personal-memory-engine

by CodeAbra · Python · ★ 313

MCP memory server for AI coding assistants. Works with Claude Code, Cursor, Codex, Gemini CLI, Cline, Continue, Cherry Studio, Zed, Hermes, OpenClaw, and any MCP client. Local, encrypted, verbatim recall. MIT.

#agent-memory#ai-memory#claude#claude-code#codex#cursor#encrypted#episodic-memory#gemini#llm-memory#local-first#long-term-memory#mcp#mcp-memory#mcp-server#model-context-protocol#persistent-memory#rag-alternative#sqlite#vector-database

Install

pip install git+https://github.com/CodeAbra/iai-personal-memory-engine.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "iai-personal-memory-engine": {
      "command": "uvx",
      "args": [
        "git+https://github.com/CodeAbra/iai-personal-memory-engine.git"
      ]
    }
  }
}

From the README

**English** | [中文](./README_zh-CN.md) The best open-source personal memory engine for AI coding assistants. Every claim ships with the harness that proves it. Run the benchmarks yourself. Persistent memory for any MCP client. Local, encrypted, verbatim recall via vector search + knowledge graph. MIT. A local server that speaks the [MCP protocol](https://modelcontextprotocol.io) and gives Claude, and any other MCP-compatible assistant, a long-term memory. It captures every turn of every session verbatim, organizes those captures over time into a perso…

Read full README on GitHub →

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