rosclaw: Evolve Your Robot AI with Adaptive Runtime Infrastructure
From the repo · “Self-evolving runtime infrastructure for Physical AI and embodied agents. Ground AI agents into robot bodies with e-URDF, sandbox safety, capability routing, praxis capture, physical memory, runtime intervention, and skill evolution.”
Rosclaw streamlines robotics development by providing a self-evolving runtime infrastructure for Physical AI and embodied agents, allowing founders to ground AI agents into robot bodies
- •When developing robotics applications that require integration with physical agents
- •When needing to evolve AI capabilities in real-time through physical interactions
- •When requiring a sandboxed environment for safe testing of robotics applications
python rosclaw/examples/e_urdf_example.py -u <robot_urdf_file> -c <capability_config_file>
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/rosclaw && curl -fsSL https://workflowstacks.com/api/skills/rosclaw/claude-skill -o ~/.claude/skills/rosclaw/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/rosclaw && curl -fsSL https://workflowstacks.com/api/skills/rosclaw/claude-skill -o ~/.claude/skills/rosclaw/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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