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iai-personal-memory-engine
iai-personal-memory-engine logo

iai-personal-memory-engine

Active·★ 911·MIT·Updated 2026-10-21
★ Trending★ Hidden Gem

iai-pme is an open-source, local-first personal memory engine designed for AI coding assistants, providing persistent, encrypted, and verbatim recall of past interactions. It integrates via the MCP protocol to give AI assistants a long-term memory, automatically capturing and recalling conversation content to enhance assistant adaptability and context.

iai-personal-memory-engine sits in the Memory & Context category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Persistent, long-term memory for AI assistants.. A representative use case is Enhancing AI coding assistants (e.g., Claude Code, Cursor, Codex CLI) with continuous, personalized long-term memory.. The listed license is MIT. GitHub stars are currently 911. Relevant tags include Personal Memory Engine, AI Assistants.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#Personal Memory Engine#AI Assistants#Vector Search#Knowledge Graph#MCP Protocol#Local-first#Rust-native#Encryption
$ Install
$ git clone https://github.com/CodeAbra/iai-personal-memory-engine.git && cd iai-personal-memory-engine && python3.12 -m venv .venv && source .venv/bin/activate && pip install . && cd mcp-wrapper && npm install && npm run build && cd .. && iai-mcp daemon install
↗ Visit site★ GitHub
01

Features

01Persistent, long-term memory for AI assistants.
02Fully local, encrypted storage and processing with no telemetry or cloud dependency.
03Verbatim recall via vector search combined with a knowledge graph, preserving specific details.
04Automatic conversation capture and intelligent recall injection at session start via MCP hooks.
05Custom-built core components including storage engine, community-detection algorithm, and hyperdimensional memory substrate for optimal performance.
02

Why choose it

+Persistent, long-term memory for AI assistants.
+Fully local, encrypted storage and processing with no telemetry or cloud dependency.
+Enhancing AI coding assistants (e.g., Claude Code, Cursor, Codex CLI) with continuous, personalized long-term memory.
+Supports 7 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Python
Runtime
Verified via docs
MacOS
Platform
Verified via docs
Linux
Platform
Verified via docs
Windows
Platform
Verified via docs
Rust
Engine
Verified via docs
Node.js
Runtime
Verified via docs
05

Quick start

1
$ git clone https://github.com/CodeAbra/iai-personal-memory-engine.git
2
$ cd iai-personal-memory-engine
3
$ python3.12 -m venv .venv
4
$ source .venv/bin/activate
5
$ pip install .
6
$ cd mcp-wrapper
7
$ npm install
8
$ npm run build
9
$ cd ..
10
$ iai-mcp daemon install
06

Use cases

↳Enhancing AI coding assistants (e.g., Claude Code, Cursor, Codex CLI) with continuous, personalized long-term memory.
↳Automatically adapting AI assistants to individual user's style, preferences, and recurring patterns over time.
↳Maintaining a comprehensive, secure, and local knowledge base of past interactions for AI reference without explicit 'remember this' commands.
↳Improving AI assistant consistency and reducing redundant questions across multiple sessions.
07

Alternatives

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Cognitive memory for LLM agents — local-first, and shareable across a team through the cloud.
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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
CodeAbra /
iai-personal-memory-engine
↗

Independent Autistic Intelligence — a cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.

911MIT
Last commit1d ago
StatusActive
CategoryMemory & Context
Links
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