MetaClaw turns live conversations into reusable skill and memory signals, helping personal agents improve from real work instead of static prompts alone.
Capture what happens in real usage and turn it into better context, memory, and skills.
Summarize repeatable patterns into reusable skills so the agent improves operationally over time.
Designed to sit behind existing agent workflows instead of forcing an entirely new interface.
A lightweight proxy and memory/skill layer coordinates live agent traffic, background evaluation, and optional training loops.
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