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A developer built Chronos DB, a Postgres-compatible database with safeguards for AI agents to write data, including merge limits, scoped writes, and human approval for sensitive changes, and asks if others would use it in production.
The author discusses building six AI agent harnesses and emphasizes the need for a dedicated database to track agent execution, state, and learnings, beyond just observability tools.