gavdalf

gavdalf / openclaw-memory

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Total Recall — Autonomous Agent Memory. The only memory system that watches on its own. Five-layer observational memory for OpenClaw agents. ~$0.10/month.

60
11
100% credibility
Found Feb 18, 2026 at 31 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

OpenClaw Memory is a drop-in enhancement for OpenClaw AI agents that preserves key conversation details despite automatic context summarization using layered observation and reflection.

How It Works

1
😩 AI Forgets Details

You chat with your AI helper and notice it forgetting names, decisions, or tasks from earlier in the conversation.

2
🧠 Find Memory Fix

You discover a helpful add-on that protects your AI's memory like your brain replays important moments to remember better.

3
Pick Setup Path
🚀
AI Does It

Just tell your AI to follow the easy guide and it installs everything for you.

🛠️
Do It Yourself

Download the files and run one quick setup command.

4
🔗 Link Thinking Service

Connect to a smart service that helps summarize key facts from your chats automatically.

5
👀 Start Background Watchers

Turn on quiet helpers that keep an eye on conversations and save memories right away.

6
📝 See Memories Saved

Watch as important details get captured and stored safely for future chats.

🎉 AI Remembers Forever

Your AI now recalls all crucial info across sessions, making chats smoother and more reliable.

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Star Growth

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AI-Generated Review

What is openclaw-memory?

OpenClaw-memory adds five-layer memory protection to OpenClaw AI agents, tackling the amnesia from lossy context compaction that drops key details like numbers and decisions. It continuously pulls durable facts via an observer cron, reactive watcher on file changes, pre-compaction hook, reflector for consolidation, and session recovery on startup—all in lightweight shell scripts using LLM APIs like Gemini Flash. Users get persistent observations loaded at every session start, cutting re-explanation waste by 20-30% at $0.10-0.20/month.

Why is it gaining traction?

It hooks right into OpenClaw without fighting native compaction, blending cron-timed observers, real-time reactive watchers, and emergency pre-compaction triggers for bulletproof session memory. Developers love the self-install option—your agent reads a guide and sets it up solo—or a one-shot shell installer. Low overhead (4.5% context) and local model support make it a no-brainer upgrade over manual logging.

Who should use this?

OpenClaw users running personal agents for task tracking, project management, or family logistics, where compaction wipes mid-session state. Shell-savvy devs building long-running agent workflows that span resets, especially if you're tired of agents forgetting preferences or approvals.

Verdict

Grab it if you're deep in OpenClaw—solid docs and agent-friendly setup make early adoption easy despite 31 stars and 1.0% credibility signaling niche maturity. Test on a side project; pair with real-time task logging for max resilience.

(178 words)

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