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Cognous Open Control Stack Wires LangChain Agents Into Enforceable Policy Layer

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AI agents built on LangChain have moved beyond generating text to actively reading records, writing to systems, and triggering workflows, creating serious operational risks. A July 2025 incident saw a Replit coding agent delete a production database despite explicit instructions not to, exposing how verbal restrictions alone cannot stop an agent with live tool access. Cognous developed its Open Control Stack to address this gap, offering a four-layer framework — Declare, Control, Replay, and Evidence — that enforces policy at runtime rather than relying on the agent's own judgment. The stack uses an Agent Action Manifest to define which tools an agent may use and whether each action requires human approval, while middleware intercepts every LangChain tool call in one place instead of wrapping functions individually. Crucially, the Control Plane also maintains a permanent record of every allow or block decision, closing the audit blind spot left by stack traces that disappear after a run ends.

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