agentfootprint

介绍

Context engineering, abstracted. Build AI agents whose every LLM call traces back to what was injected, who triggered it, when, and how it cached. Built on footprintjs

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README

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Your agent gave an answer that looks right — and it's wrong. The logs can't tell you who influenced it. Agentfootprint can. The explainable AI agent framework for TypeScript: every read, write, decision, and tool call becomes connected evidence as your agent runs. When something goes wrong, you don't grep logs — you ask. Build agents — skills, steering, RAG, memory, control flow — and debug them like nothing else. Why is a query, not a guess. A real run, replayed — rendered with Story Lens ( npm i agentthinkingui ). Every frame is generated from the run's own trace; ▶ watch it live .