legendaryvibecoder

legendaryvibecoder / gigabrain

Public

Long-term memory layer for OpenClaw agents: capture, recall, dedupe, and native markdown sync.

github.comlegendaryvibecodergigabrain ai-agent memory openclaw plugin sqlite
26
2
100% credibility
Found Mar 07, 2026 at 26 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Gigabrain is a memory system for AI agents that captures facts from conversations and notes into a searchable store, automatically recalling relevant details to keep responses consistent over time.

How It Works

1
🔍 Discover Gigabrain

You find Gigabrain, a helpful memory tool that makes your AI assistant remember conversations and notes forever.

2
📦 Add to your AI setup

Place it in your AI tools folder with a simple install command.

3
🧙 Run the easy setup wizard

Tell it where your notes live, and it creates your memory storage and indexes your files automatically.

4
📝 Teach your AI to save memories

Add simple instructions so your AI knows when to note important facts from chats.

5
💭 Chat and watch it remember

Talk to your AI, say 'remember I like dark mode', and see it save and recall facts perfectly next time.

6
🔧 Let it clean up nightly

Run a quick check to remove duplicates and junk, keeping memories sharp.

🧠 Your AI has perfect memory

Now your assistant stays consistent, recalls your preferences and history across every chat.

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AI-Generated Review

What is gigabrain?

Gigabrain is a JavaScript-based long-term memory layer for OpenClaw AI agents, capturing structured facts from conversations via `` tags into a SQLite registry while syncing native markdown files like MEMORY.md. It recalls relevant context—preferences, decisions, entities—before each prompt, ensuring agent consistency across sessions without cloud dependencies. This tackles the core issue of stateless LLMs forgetting user details in ai long term memory github setups.

Why is it gaining traction?

Unlike vector-heavy long term memory llm github tools, Gigabrain emphasizes deterministic dedupe, junk filters, and quality audits via CLI commands like `npm run nightly`, keeping memory clean locally. Native sync unifies daily notes with registry recall, and optional FastAPI console lets you browse/edit memories. The gigabrain ai hook: production-ready for OpenClaw with benchmarks against Mem0/Zep.

Who should use this?

OpenClaw developers building persistent agents for personal workflows, like tracking user preferences or project episodes in long term memory agent github flows. Suited for solo devs running Ollama locally who need github long term storage without setup hassle. Avoid if you're on LangGraph or non-OpenClaw stacks.

Verdict

Early at 26 stars and 1.0% credibility, but mature docs, full test suite, and CLI wizard make it viable for OpenClaw trials—npm install and setup in minutes. Solid for long term memory github needs if ecosystem fits; watch for broader adoption.

(198 words)

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