rewind-llm is an open-source record-replay debugger designed for AI agent runs. It allows developers and researchers to capture, replay, and analyze the execution traces of AI agents, making it easier to debug and understand agent behavior. The tool is suitable for those building or evaluating AI agent systems.
rewind-llm sits in PulseGate's LLM eval & observability category. It focuses on debugging and analyzing the execution of AI agent runs by enabling record and replay of agent traces. rewind-llm is an open-source project aimed at AI developers and researchers. The project is open source (MIT). It ships for the command line and API, and it can be self-hosted.
praashh builds and maintains rewind-llm, and it first shipped in 2026. Development happens publicly on GitHub with 10 commits in the last 90 days. Key capabilities include record agent runs, replay execution traces, and trace analysis.
Summary written by a language model from the project’s public pages.
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