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Rigorix: Open-source execution governance engine for AI agents

1 reports1 sources3 days agoUpdated

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Rigorix releases an open-source execution governance engine that re-validates authorization before AI agents perform critical operations such as financial transactions, database migrations, and dependency upgrades, and records signed decisions that third parties can verify. The engine is written in Rust, is licensed under Apache-2.0 / MIT, and has published verifiers on crates.io, npm, and PyPI, covering 5 languages. Rigorix says the open-source edition performs governed execution and local evidence recording within a single process, and the capacity ledger for a single execution is atomic within that process; organization-level policy, auditing, and operations belong to a separate layer. Execution decisions stay within the engine. Rigorix also lists five capability boundaries: it only narrows the window between checks and consequences, it does not judge business semantics, it is not a sandbox, and so on.

AI overview based on source reports · Updated 3 days ago

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Nov 3
  1. Hacker News AI
    Show HN: Rigorix, Execution governance for AI agents, open-source engine

    Rigorix is an open-source execution governance engine that revalidates authority at the moment a consequential AI-agent action would execute, refusing and signing the decision if authority has changed since approval. It records HMAC-signed, hash-chained evidence with Ed25519 checkpoints, and publishes verifiers on crates.io, npm and PyPI (five languages, with Java and Go in-repo) so third parties can check records offline. The engine is Apache-2.0/MIT Rust, with an enterprise control plane for policy, audit and shared capacity that configures and observes but never makes the enforcement decision.

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