agentveto¶

Replay it. Prove it. Veto it.

Every other tool answers "what did my agent do?". Those tools already exist, and there are a lot of them. agentveto is being built for the harder question: what is my agent allowed to do, and can I prove it afterwards?

No account. No SaaS. No network call. Everything stays on your machine.

pip install agentveto

Where to go next¶

Policy language - what @guard(policy, action=...) accepts, what the rules look like, how when clauses work.
Prove (evidence) - hash-chained, optionally Ed25519-signed runs, and portable .evd files an auditor can verify offline.
MCP server - expose the policy engine to Claude Code, Cursor and other MCP-aware editors.
Launch kit - the Show HN / Reddit post draft, comment pre-answers, and what not to do at launch.
Why Python, not Rust - the working document on when the cost of a Rust core becomes worth it.

The shape of the project¶

Status¶

Early. The data model and the report are stable enough to rely on; the API may still change before 1.0. Issues and PRs welcome.

License¶

Apache 2.0