Flowlines

Observability and memory layer that shows why AI agents fail and fixes it

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An observability and memory layer for production AI agents that captures each LLM call as structured traces and surfaces issues like context loss and user frustration. It helps teams understand why agents fail and prevent repeated mistakes by extracting structured memory to feed back into agents, and is aimed at AI engineering, agent development, and product teams; lightweight Node.js and Python SDKs enable real-time session monitoring.

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