[HN]score: 0.30

AGENTS.md framework for enforcing epistemic state machines in autonomous agents

September 13, 2026

AGENTS.md provides a prompt-layer operational rule set designed to transition LLM agents from probabilistic text generation to deterministic state machines. It addresses RLHF-induced sycophancy by enforcing strict behavioral governance to prevent destructive command execution in production environments.

HOW THIS AFFECTS YOU

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builderYou can use this framework to mitigate the risk of agents executing unverified, destructive commands in production.

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policyThis offers a structured method for implementing computational constitutions rather than relying on unreliable natural language safety prompts.

read original ↗github.com

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