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

Active·★ 348·MIT·Updated 2026-07-18
★ 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 is currently grouped under Memory & Context, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Persistent, long-term memory for AI assistants. and Enhancing AI coding assistants (e.g., Claude Code, Cursor, Codex CLI) with continuous, personalized long-term memory.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 348 GitHub stars.

#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.
+Enhancing AI coding assistants (e.g., Claude Code, Cursor, Codex CLI) with continuous, personalized long-term memory.
+Covers 7 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a MIT license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
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

How it compares

≈iai-personal-memory-engine sits in the Memory & Context category, so it makes more sense to evaluate it alongside tools like headroom instead of in isolation.
≈If your main need is closer to "Enhancing AI coding assistants (e.g., Claude Code, Cursor, Codex CLI) with continuous, personalized long-term memory.", that use case is a better lens for comparison than broad feature checklists alone.
≈iai-personal-memory-engine uses a MIT license, and community traction are both easier to judge in category context.
08

Alternatives

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Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.
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AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
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🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history
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exa-mcp-server★ 4.7k
Exa MCP for web search and web crawling!
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mcp-unity★ 1.8k
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octocode-mcp★ 895
MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturally across public & private repos based on your permissions | Transform any accessible codebase/s into AI-optimized knowledge on simple and complex flows | Find real implementations and live docs from anywhere
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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 348
Last commit2d ago
StatusActive
LicenseMIT
CategoryMemory & Context
Trend (30d)
+13.9↑ 2.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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