ProofGatedAgents
What it is
A governed multi-agent framework that treats LLM outputs as untrusted suggestions, enforcing correctness through deterministic verification, locked governance contracts, and proof-gated execution stages. It uses stage-based orchestration where agents must produce machine-verifiable proofs to proceed, with bounded repair loops and proposal-only self-improvement.
The problem it solves
Current agent frameworks trust non-deterministic LLM output and rely on retries, leading to silent drift, hidden writes, and runaway autonomy that are unsafe for production systems.
What you could use it for
- Building auditable autonomous systems where LLM actions must be provably correct
- Creating reproducible multi-agent pipelines with strict policy enforcement
- Implementing deterministic verification gates for non-deterministic AI components
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Summary written by an AI model from the source; check the source before you rely on it.