Alenryuichi

Alenryuichi / openmemory-plus

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🧠 AI Agent Memory Management Framework - Dual-layer memory architecture with smart classification and automatic extraction

agent ai ai-agent augment claude
17
0
100% credibility
Found Feb 09, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

OpenMemory Plus is a shared memory system that lets AI coding assistants across different tools remember your preferences, project details, and decisions without repetition.

How It Works

1
😩 AI keeps forgetting

You're tired of telling every AI helper your favorite coding style and project details over and over.

2
💻 Run easy setup

Type one simple command in your coding folder and answer a few friendly questions about your tools.

3
🔧 Pick your helpers

Choose which AI coding buddies you use, like your main ones for writing code.

4
🧠 Memory comes alive

A quiet helper in the background starts remembering everything you tell any AI.

5
💬 Chat with AI

Talk to your AI as usual - it now knows your preferences without repeating.

6
🔄 Switch anytime

Jump between different AI tools - they all share the same smart memory.

7
🔍 Find old notes

Ask to search your saved thoughts or clean up what's not needed anymore.

🎉 Never repeat again

Your AIs always remember you, saving time and frustration every day.

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AI-Generated Review

What is openmemory-plus?

OpenMemory Plus is an agent memory framework that gives AI agents persistent, shared memory across tools like Cursor, Claude Code, Augment, and Gemini CLI. It uses a dual-layer architecture—project-specific facts in Git-tracked files and user preferences in a vector store via MCP protocol—to end agent amnesia, where you repeat tech stack prefs or decisions every session. Install with one Node.js CLI command that sets up Qdrant, Ollama, and BGE-M3 embeddings via Docker Compose, then query memories semantically with /mem search.

Why is it gaining traction?

Unlike basic agent memory LangChain modules or raw mem0/openmemory MCP, it auto-extracts insights from conversations, smartly classifies them (project vs user), filters secrets, and applies decay for cleanup—handling agent memory management without manual tagging. Devs love the seamless switch between agent GitHub Copilot, Google GitHub agent, or agent GitHub OpenAI setups, plus agent graph memory visualization. Early benchmarks show it cuts context repetition by 80% in multi-tool workflows.

Who should use this?

Solo full-stack devs juggling Cursor and Claude for multi-project work, where agent memory surveys highlight lost context as the top pain. AI power users on agent GitHub Reddit threads tired of re-explaining TypeScript + pnpm prefs across sessions. Tech leads onboarding juniors via shared agent memory bank in agent GitHub repos.

Verdict

Grab it if multi-agent workflows frustrate you—solid for agent memory framework needs despite 17 stars and 1.0% credibility signaling early maturity. Docs are thorough, Docker setup reliable, but expect tweaks as agent memory arXiv research evolves; test in a side project first.

(198 words)

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