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OpenBMB / ClawXMemory

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ClawXMemory: A Multi-Level Memory Plugin for OpenClaw with Long-Term Context

14
4
100% credibility
Found Apr 02, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

ClawXMemory is a local memory plugin for AI chat systems that structures conversation history into multi-level summaries for better long-term recall.

How It Works

1
🔍 Discover long-term memory for chats

You hear about a helpful tool that lets your AI assistant remember conversations forever, turning scattered chats into organized knowledge.

2
📦 Add it to your AI helper

With one simple step in your AI app, you turn on this memory feature so it starts working quietly in the background.

3
💬 Chat as usual

Keep talking to your AI about projects, plans, or daily stuff, and it automatically saves and organizes everything without you lifting a finger.

4
🧠 Memories grow like a tree

Your chats turn into neat summaries: quick notes, project updates, timelines, and even a personal profile that builds over time.

5
📊 Peek at your memory dashboard

Open a simple web view to browse your organized memories, see projects and timelines, and feel in control of what your AI knows.

6
💡 AI recalls perfectly

Ask about past projects or preferences, and your AI pulls exactly the right memories, answering like an old friend who never forgets.

🎉 Endless smart conversations

Now your AI chats feel continuous and personal, handling long tasks or histories effortlessly, making every interaction smarter and more helpful.

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AI-Generated Review

What is ClawXMemory?

ClawXMemory is a TypeScript plugin for OpenClaw that builds a multi-level memory system for long-term context management. It captures raw conversations (L0), distills them into topic fragments (L1), and aggregates into project timelines and user profiles (L2), evolving a searchable memory tree during chats. Install via npm, restart the gateway, and access a local dashboard at http://127.0.0.1:39393/clawxmemory/ for visualization—all stored in SQLite.

Why is it gaining traction?

Unlike flat history dumps or vector search, ClawXMemory uses model-driven reasoning to navigate its hierarchy, injecting only relevant context without bloating prompts. Developers notice smarter recall for ongoing tasks, like checking project status weeks later, plus one-click export/import for device migration. The plugin auto-consolidates on idle or topic shifts, with configurable intervals.

Who should use this?

OpenClaw users iterating long tasks, like researchers drafting papers over days or teams tracking AI-assisted projects across sessions. Ideal for devs needing persistent context without manual summaries, especially in multi-turn workflows where "what stage are we at?" pulls from structured memory.

Verdict

Try ClawXMemory if you're deep in OpenClaw—solid docs and dashboard make it plug-and-play, despite 14 stars and 1.0% credibility signaling early maturity. Low test coverage means watch for edge cases, but MIT license and npm ease experimentation.

(187 words)

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