Developer creates open-source time-travel debugger for AI agent troubleshooting

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A developer has built an open-source debugger that allows step-by-step inspection and modification of AI agent executions. The tool records agent workflows, enabling developers to rewind to earlier states, modify decisions, and replay from that point without restarting the entire process. It consists of a Python SDK for recording steps, a FastAPI backend for storing traces, and a Next.js frontend that visualizes executions as interactive graphs. The system helps identify where errors occurred in multi-step AI workflows by providing execution snapshots and avoiding redundant API calls. The project is publicly available on GitHub for community use and development.

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