[HN] Show HN: K9 Audit – Causal intent-execution audit trail for AI agents

Summary

K9 Audit addresses a critical flaw in AI agent logging, where agents can make severe, undetected errors because current logs only record actions, not their intended purpose. The tool introduces a "causal five-tuple" to capture an agent's intent before execution, making errors like a Claude agent repeatedly writing a staging URL to a production config file visible and auditable. This provides a crucial mechanism for debugging, accountability, and ensuring the reliability of autonomous AI systems.

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