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MetaClaw

Observation pool · not formally ranked

This project does not currently meet the main index requirement of two current dimensions across two source types.

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Observed adoptionMissing
MomentumCurrent · 2026-09-12
0
AttentionCurrent · 2026-09-12
18
Signal confidence Based on how many independent score dimensions currently have data.
Medium2/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

About

Inspired by how brains learn. Meta-learn and evolve your 🦞 from every conversation in the wild. No GPU required.

MetaClaw is an agent that meta-learns and evolves in the wild. Just talk to your agent as you normally would — MetaClaw turns every live conversation into a learning signal, enabling the agent to continuously improve through real-world deployment rather than offline training alone.

Under the hood, it places your model behind a proxy that intercepts interactions from your personal agent (OpenClaw, CoPaw, IronClaw, PicoClaw, ZeroClaw, NanoClaw, NemoClaw, or any OpenAI-compatible client), injects relevant skills at each turn, and meta-learns from accumulated experience. For…

Across sources

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  • Releases 8