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Show HN: 'Git for AI Agents' Brings Version-Control-Style Provenance to Agent Actions
A Show HN project dubbed 'Git for AI Agents' aims to give agents git-like primitives — tracking what an agent did and why, step by step, for replay and auditing. The goal is provenance and explainability for autonomous runs, an increasingly acute need as agents take more multi-step actions unattended. It targets the gap between LLM observability tools and true action-level version history.
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