24kchengYe

24kchengYe / MemoMind

Public

Give your AI agent a brain that remembers. Local memory system for Claude Code — 100% private, GPU-accelerated, zero cloud dependency.

agent-memory ai claude-code llm local-first
30
4
100% credibility
Found Mar 21, 2026 at 30 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

MemoMind provides a local, persistent memory system for AI coding agents to store and retrieve user preferences, project decisions, and context across multiple sessions.

How It Works

1
🔍 Discover MemoMind

You hear about MemoMind while looking for ways to make your AI coding helper remember things like your style and past choices.

2
📥 Get it ready

Download the files and run a simple setup script on your Windows computer to prepare everything.

3
🔗 Connect your AI

Link it to your AI service so your helper can start learning and storing memories safely on your machine.

4
▶️ Turn it on

Start the memory system with one command, and it runs quietly whenever you need it.

5
💬 Introduce to your coding AI

Tell your coding assistant about this new memory brain, and it begins using it automatically.

6
🧠 See the magic

Chat with your AI, and watch it recall your preferences, decisions, and project details from before without repeating yourself.

7
📊 Check your memories

Open a simple web page to browse, search, and even add memories visually if you want.

🎉 Smarter AI forever

Your AI now has a growing brain that remembers everything important, making coding faster and more personal every time.

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Star Growth

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AI-Generated Review

What is MemoMind?

MemoMind equips AI coding agents like Claude Code with persistent, local memory, so they recall your coding style, project decisions, and past fixes across sessions instead of starting from scratch every time. It runs 100% offline in WSL2 with PostgreSQL storage, GPU-accelerated embeddings for quick hybrid search, and a web dashboard at localhost:9999 to browse timelines, graphs, and metrics. Integrate via MCP stdio protocol for retain, recall, and reflect calls, with automated backups to private GitHub repos where you can give read access to private repo with link or collaborator permissions.

Why is it gaining traction?

Unlike markdown hacks or cloud services, it auto-extracts facts into a knowledge graph with 4-way retrieval (semantic, keyword, graph, temporal) and reflection for cross-memory insights, giving GitHub Copilot-like context to Claude without token waste. One-script WSL install, boot auto-start, and multilingual support hook devs fast, plus cheap LLM costs and easy GitHub repo access for sharing – how to give access on GitHub is even scripted. Beats Mem0/MemOS for MCP-specific agents with zero setup friction.

Who should use this?

Claude Code power users rebuilding the same explanations weekly. Solo devs giving agents long-term project memory for debugging patterns or style prefs. Teams giving read-only access to private repos for onboarding AI with shared history.

Verdict

Worth installing for Claude Code workflows – excellent docs and dashboard punch above 30 stars and 1.0% credibility. Early but polished; skip if avoiding WSL2.

(198 words)

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