Rosclaw: Automate robot tasks
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.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
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.
Rosclaw: Automate robot tasks is a very large Python project (~339k lines across 1587 code files, plus 1038 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3bin/rosclawWhere the program starts running
- 4pyproject.tomlDependencies and the commands it exposes
- 5src/powermem/__init__.pyInside src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
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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