Prove utility improvements before rewriting agent policies.
npx skills add https://github.com/plurigrid/asi --skill godel-machine
Please help me install this Agent Skill. Skill: godel-machine Source: https://github.com/plurigrid/asi/tree/main/skills/godel-machine Command: npx skills add https://github.com/plurigrid/asi --skill godel-machine
Introduces the Gödel Machine paradigm: agents that can rewrite parts of themselves only after a formal proof shows the rewrite will improve utility.
Create a candidate policy and verify improvement via a theorem prover; implement mutations via a Lean/Python toolchain.
High-intent search queries and answers about installing and using this skill.
Self-improving agents use a formal proof engine (Lean4 or Coq) to verify that a candidate rewrite will increase utility before executing it. The agent compares the current policy against a candidate policy, generates a formal proof of improvement, and only applies the rewrite when the proof succeeds, ensuring monotonic utility gain.
You need a formal prover like Lean4 or Coq, a clearly defined utility metric to measure improvement, a rewrite mechanism to apply policy changes, and integration of Policy, Prover, Candidate Policy, and Rewrite modules. Python can coordinate the workflow with the proof engine.
Yes. A Gödel Machine automates policy evolution by requiring formal proof of utility improvement before any self-modification occurs. Each candidate rewrite is validated mathematically, eliminating manual intervention while guaranteeing that modifications only proceed when provably beneficial.
Formal verification requires the agent to construct a theorem proof that a rewrite increases utility before execution. If no valid proof exists, the rewrite is rejected. This proof-carrying safety model ensures the agent cannot modify itself in ways that decrease utility or violate constraints.
Gödel Machines couple self-modification to formal proof, guaranteeing safety and monotonic improvement. Other self-improving systems may lack formal verification, making unsafe rewrites possible. The proof requirement distinguishes this paradigm as mathematically certified self-improvement.
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