rewind-llm
PulseGate's liveness check found it on 14 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 9 Jul 2026. How this is checked
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.
Inferred · not functionally tested
Overview
6 featuresPurpose: Debugging and analyzing the execution of AI agent runs by enabling record and replay of agent traces.
Inferred · not functionally tested
Audience: AI developers and researchers
Inferred · not functionally tested
Functions: monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
rewind-llm sits in PulseGate's Agent monitoring & governance category. Inferred · not functionally tested: It focuses on debugging and analyzing the execution of AI agent runs by enabling record and replay of agent traces. Inferred · not functionally tested: rewind-llm is an open-source project aimed at AI developers and researchers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: 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. Inferred · not functionally tested: Key capabilities include record agent runs, replay execution traces, and trace analysis.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Record agent runs
- Replay execution traces
- Trace analysis
- Debugging tools
- Open source
- CLI interface
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about rewind-llm
- What is rewind-llm?
- Inferred · not functionally tested: Rewind-llm focuses on debugging and analyzing the execution of AI agent runs by enabling record and replay of agent traces. It is catalogued under Agent monitoring & governance on PulseGate.
- Who is rewind-llm for?
- Inferred · not functionally tested: rewind-llm is an open-source project built for AI developers and researchers.
- Does rewind-llm have a free plan?
- Basis unknown · not verified: Yes — rewind-llm is open source under the MIT license and free to use.
- What platforms does rewind-llm run on?
- Basis unknown · not verified: rewind-llm runs on the command line and API. It can also be self-hosted.
- Is rewind-llm still active?
- PulseGate's liveness check found it on 14 Oct 2026. Its GitHub repository shows 10 commits in the last 90 days.
- Who develops rewind-llm?
- rewind-llm is developed by praashh.
- How long has rewind-llm been around?
- rewind-llm first shipped in 2026.
- Is rewind-llm open source?
- Basis unknown · not verified: Yes — rewind-llm is open source under the MIT license, developed on GitHub.
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