ended6월 14일· 1 sources
Operationalizing AI: Why Agent Frameworks Need a Control Plane
Agent 프레임워크를 넘어: Production 운영을 위한 제어 계층
Why it matters
Agent frameworks excel at orchestrating workflows during development and demos, but they provide no visibility into what agents actually changed, which approvals were granted, or how to recover from failures. This operational blind spot—often overlooked until production—is where Armorer steps in, providing comprehensive run receipts that capture tool calls, side effects, approval decisions, and recovery capabilities, transforming agents from experimental systems into production-ready software.
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Agent frameworksMCP serversRun receiptsObservabilityTool inventoryRecovery