legendaryvibecoder/gigabrain

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

49
/ 100
Emerging

This tool gives AI agents a reliable, long-term memory. It captures agent conversations and notes, then converts them into a queryable knowledge base. The system ensures agents consistently recall past information for better decision-making and continuous learning. It's designed for developers building or managing AI agents that need to retain and apply context across many interactions.

120 stars. Available on npm.

Use this if you are developing or operating AI agents and need them to remember past interactions, information, and tasks to maintain consistent behavior and improve performance over time.

Not ideal if you are looking for a standalone note-taking application or a general-purpose database, as its primary function is to serve as a memory layer specifically for AI agents.

AI agent development conversational AI AI memory management contextual AI agent orchestration
Maintenance 10 / 25
Adoption 10 / 25
Maturity 20 / 25
Community 9 / 25

How are scores calculated?

Stars

120

Forks

7

Language

JavaScript

License

MIT

Last pushed

Mar 12, 2026

Commits (30d)

0

Dependencies

2

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