Built for the teams giving AI agents real work to do.
Every team building AI agents hits the same wall. The LLM is capable. The planning logic is solid. And then reality arrives: the agent needs to actually browse a website, run a script, send an email, call a third-party API.
So the team wires it themselves. Playwright for browsing. A Docker container for code. SMTP for email. A bespoke HTTP wrapper for APIs. Four different infrastructure decisions, four different failure modes, and zero unified way to see what the agent actually did.
Agent Legs is the execution runtime that sits between your agent's decisions and the real world. One SDK, five action types, full audit trail. Give your agent legs, not just a brain.
We believe that AI agents are only as useful as the actions they can take. An agent that can only answer questions is a search engine with extra steps. An agent that can act — browse, code, send, call, file — is something genuinely new.
Our mission is to make action execution safe, observable, and accessible for every team building agents. The execution layer shouldn't be something each team rebuilds from scratch. It should be solved infrastructure, the same way database drivers and HTTP clients are solved problems.
We're in early access. If you're building agents that need to act in the world, we'd love to hear from you.
Get early accessEvery action is logged, permissioned, and auditable. Agents should be able to act without unintended consequences, and teams should be able to review everything they did.
You should never wonder what your agent did. Every action in Agent Legs produces a structured log entry with inputs, outputs, and timing. Replay any action. Debug any failure.
You shouldn't need to provision containers, manage browser instances, or configure sandboxes to give an agent basic capabilities. That's our job. Your job is shipping the agent.
Free for 1,000 actions/month. No credit card required.
Get early access