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Roboclaws

CI · Live showcase report · Python · License

Let's Bring Brain To Robots

Visible household-robot demos driven by MCP tools, reusable skills, and model-backed agent runtimes. Roboclaws makes each run reviewable through maps, frames, tool traces, scores, and public/private evaluation boundaries.

It answers three practical questions:

  • How can an AI agent drive a robot?
  • What context and tools does the agent need?
  • What did the agent actually do in the simulated or robot-backed world?

Surface, intent, skill, and capability profile architecture

Quick Start

Start with the live showcase report to see the latest model-backed and deterministic results. The showcase workflow owns the scheduled/manual CI runs and links each attempt to its artifacts.

For local execution, installation, command grammar, and provider setup, use just/README.md, model-matrix.md, and local-runtime.md.

Current Capabilities

The live showcase report is advisory evidence rebuilt from GitHub Actions. Each row is independent, and canonical bundles remain Actions artifacts.

Demo View the effect CI definition
Deterministic smoke Latest report Smoke row
Map build Latest report Kimi row
Household cleanup Latest report Kimi / MiMo / MiniMax rows
Open household goal Latest report Kimi / MiMo / MiniMax rows

The local operator console and maintainer gate (just agent::verify) are documented separately.

Documentation

License

MIT

About

Visible AI-driven robotics demos powered by VLM policies, MCP skills, and AI coding agents. Reviewable HTML reports — frames, maps, tool traces, scores — instead of buried terminal logs.

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