Claude Skill

CodeAbra/iai-personal-memory-engine

IAI Personal Memory Engine is the best-benchmarked open-source memory system for AI coding assistants. Local-first, encrypted, with episodic memory and MCP support for Claude and LLM tools.

Overview

Stars286
Forks39
LanguagePython
Last pushed2026-06-21
Last synced2026-06-21
View on GitHub

Repository

OwnerCodeAbra
Repositoryiai-personal-memory-engine
Full nameCodeAbra/iai-personal-memory-engine
Repo ID1,230,675,195

Install this Skill

git clone https://github.com/CodeAbra/iai-personal-memory-engine.git

Registry

Typemcp_server
Quality score85/100
Verificationreadme_parsed
Last verified2026-06-20
Platforms
ClaudeMCPOpenClawCodexCursor
Capabilities
memorysearchvideoterminalai-agentsai-memoryclaudeclaude-codeencryptionepisodic-memory
Detected files
README.mddocspyproject.tomltests
Config keys
HID
Install methods
  • git clone https://github.com/CodeAbra/iai-personal-memory-engine.git
  • pip install .
  • claude mcp add iai-mcp -- node "$(pwd)/mcp-wrapper/dist/index.js"

Summary

IAI Personal Memory Engine is an open-source, local-first memory system designed for AI coding assistants, featuring the best benchmarked performance. It integrates episodic memory, semantic search, and encryption via SQLite, HNSWLib, and MCP protocol, supporting Claude and other LLM tools.

Chinese description

AI编程助手中基准测试表现最佳的开源记忆系统

Key features

  • Best-benchmarked open-source memory system for AI coding assistants
  • Local-first architecture with encryption for privacy
  • Episodic and semantic memory using HNSWLib vector search
  • MCP (Model Context Protocol) server integration
  • Built with Python and Rust for performance
  • Supports Claude, Claude Code, and other LLM agents

Use cases

  • Persistent memory for Claude Code coding sessions
  • Long-term context retention for AI agents
  • Secure, local-first knowledge base for LLM tools
  • Episodic memory for debugging and project history
  • Semantic search across code and documentation

README excerpt

<p align="center"> <img src="logo.png" alt="iai-pme" width="600"> </p> <h3 align="center">The best open-source personal memory engine for AI coding assistants.</h3> <p align="center">Every claim ships with the harness that proves it. Run the benchmarks yourself.</p> <p align="center"> <img src="https://img.shields.io/badge/release-v1.1.2-1f6feb?style=flat-square" alt="Release v1.1.2"> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-1f6feb?style=flat-square" alt="License: MIT"></a> <img src="https://img.shields.io/badge/python-3.11%20|%203.12-3776ab?style=flat-square&logo=python&logoColor=white" alt="Python 3.11 | 3.12"> <img src="https://img.shields.io/badge/platform-macOS%20|%20Linux-555?style=flat-square" alt="Platform: macOS and Linux"> <img src="https://img.shields.io/badge/Windows-coming%20soon-999?style=flat-square&logo=windows&logoColor=white" alt="Windows: coming soon"> <img src="https://img.shields.io/badge/engine-Rust%20native-dea584?style=flat-square&logo=rust&logoColor=black" alt="Rust-native engine"> </p> <p align="center"> <img src="https://img.shields.io/badge/LongMemEval%20R%405-0.962-2ea043?style=flat-square" alt="LongMemEval R@5 0.962"> <img src="https://img.shields.io/badge/Rescue%4010-1.000-2ea043?style=flat-square" alt="Rescue@10 1.000"> <img src="https://img.shields.io/badge/at%20rest-AES--256--GCM-2ea043?style=flat-square" alt="AES-256-GCM"> <img src="https://img.shields.io/badge/local--only-no%20telemetry-2ea043?style=flat-square" alt="Local only, no telemetry"> <img src="https://img.shields.io/badge/MCP-compatible-8957e5?style=flat-square" alt="MCP compatible"> <a href="https://glama.ai/mcp/servers/CodeAbra/iai-mcp"><img src="https://glama.ai/mcp/servers/CodeAbra/iai-mcp/badges/score.svg" alt="Gla

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Data from GitHub. Synced on 2026-06-21