MemTensor

MemTensor / MemOS-Cloud-OpenClaw-Plugin

Public

Official MemOS Cloud plugin for OpenClaw. Enables long-term memory for agents by recalling context before execution and saving conversations after each run.

ai-memory memos memtensor openclaw openclaw-plugin
164
21
100% credibility
Found Feb 12, 2026 at 40 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A plugin for the OpenClaw AI assistant that connects to MemOS Cloud to retrieve relevant past memories before each interaction and save new conversation turns afterward.

How It Works

1
🕵️ Discover the Memory Booster

You learn about this helpful add-on that gives your AI chat assistant a long-term memory for past conversations.

2
📥 Pick Up the Add-On

Grab the plugin from its online spot and slip it into your AI assistant's setup folder.

3
🔗 Link Your Memory Service

Create a free account on the MemOS Cloud website, grab your special access pass, and connect it so memories can be stored and fetched.

4
⚙️ Switch It On

Flip the switch in your AI settings to activate it, and optionally adjust how much memory it recalls or what it saves.

5
💬 Chat Away

Jump into your regular conversations with the AI assistant, just like always.

🧠 Smarter, Remembering Conversations

Your AI now automatically remembers key details from before and saves new ones, making every chat feel personal and continuous.

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AI-Generated Review

What is MemOS-Cloud-OpenClaw-Plugin?

This JavaScript plugin is the official GitHub repository for integrating MemOS Cloud with OpenClaw, giving AI agents long-term memory by pulling relevant context before each run and saving conversations after. Developers install it via `openclaw plugins install github:MemTensor/MemOS-Cloud-OpenClaw-Plugin`, set a MEMOS_API_KEY, and it hooks into OpenClaw's lifecycle to recall memories through `/search/memory` and store messages via `/add/message`. It solves the problem of stateless agents forgetting user preferences and history across sessions.

Why is it gaining traction?

Its minimal setup stands out—no complex wiring, just env vars or plugin config for global recall, conversation IDs, and limits on memories or preferences. Developers like the automatic handling of user/assistant turns, optional global searches before agents start, and post-run saves, all with token auth to MemOS Cloud. As an official plugin, it fits seamlessly into OpenClaw workflows, unlike DIY memory hacks.

Who should use this?

OpenClaw users building persistent AI agents, like chatbots needing to remember user decisions or context across conversations. Ideal for indie devs prototyping agentic apps or teams scaling multi-turn interactions without rebuilding state management. Skip if you're not on OpenClaw or prefer local storage over cloud.

Verdict

Worth trying for OpenClaw devs wanting quick memory persistence—solid docs and easy config make it accessible despite 19 stars and 1.0% credibility score signaling early maturity. Test in a side project first; lacks broad adoption but delivers core recall/add value out of the box.

(178 words)

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