NeoLi00

NeoLi00 / openclaw-memx

Public

Long-term OpenClaw memory with self-learning, self-maintenance, and relationship graph recall.

agent-memory embeddings graph-memory local-first long-term-memory
11
0
100% credibility
Found May 13, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

MemX is a local-first long-term memory system for OpenClaw AI agents that remembers work details, learns user patterns, connects related ideas, and recalls relevant evidence automatically.

How It Works

1
📰 Discover a smarter AI companion

You hear about OpenClaw, a friendly AI helper for daily tasks, and its memory add-on called MemX that lets it remember conversations across days.

2
📥 Add the memory helper

Download the simple files and place them in your OpenClaw folder, then restart to wake it up.

3
🧠 Connect your thinking brain

Choose a smart service or local setup so your AI can think deeply and store memories securely.

4
💬 Start chatting naturally

Talk to your AI about projects, preferences, or tasks, and it quietly saves the important bits.

5
💡 Magic recall happens

Next time, your AI remembers past decisions, links related ideas, and suggests based on your habits.

🎉 Your AI grows wiser

Over days and projects, it recalls just what you need, cleans up old notes, and feels like a trusted partner.

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AI-Generated Review

What is openclaw-memx?

OpenClaw-MemX is a TypeScript plugin delivering long-term memory for OpenClaw AI agents, enabling persistent recall of project decisions, user preferences, task states, and relationships across sessions. It auto-captures conversations, builds graph-based connections for elite long-term memory OpenClaw recall, and handles self-learning with self-maintenance to prune stale data. Developers get github long term storage that injects compact, relevant context into prompts without bloating them.

Why is it gaining traction?

Unlike basic long short term memory github solutions or transcript dumps, MemX offers relationship graph recall, automatic cleanup, and 100% tested evidence retrieval for long term memory agent github workflows. CLI commands like `openclaw memx setup` and `memx doctor` make integration dead simple, with tools for explicit queries (memory_recall) and local embeddings via sentence-transformers. It stands out for long term memory LLM github users needing self-maintenance without API costs.

Who should use this?

OpenClaw developers building long-running agents for engineering tasks, like code reviews or project planning where forgetting preferences kills productivity. Ideal for solo devs or teams using long term memory LangGraph github-style graphs to track blockers, habits, and evolving contexts over weeks.

Verdict

Try it if you're on OpenClaw and need robust long-term memory—docs and CLI are solid starters. With 11 stars and 1.0% credibility, it's early; test in a side project before production.

(198 words)

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