lockstepd
PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 26 Aug 2026. How this is checked
lockstepd is an MIT-licensed Python command-line debugger for deterministic recording and replay of LLM agent runs. It supports bit-exact offline replay, forking from a selected step, and failure bisection for developers testing and diagnosing agent workflows.
Inferred · not functionally tested
Overview
6 featuresPurpose: Reproducing, forking, and diagnosing nondeterministic failures in LLM agent runs.
Inferred · not functionally tested
Audience: AI agent developers
Inferred · not functionally tested
Functions: monitoring
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, 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.
lockstepd sits in PulseGate's Debugging & profiling category. Inferred · not functionally tested: Reproducing, forking, and diagnosing nondeterministic failures in LLM agent runs. Inferred · not functionally tested: lockstepd is an open-source project aimed at AI agent developers. Basis unknown · not verified: lockstepd is open source under the MIT license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.
It is developed by Dato Bitar, and it first shipped in 2026. The project is developed in the open on GitHub with 24 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include run recording, offline replay, and bit-exact replay.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Run recording
- Offline replay
- Bit-exact replay
- Step forking
- Failure bisection
- Agent debugging
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about lockstepd
- What does lockstepd do?
- Inferred · not functionally tested: Reproducing, forking, and diagnosing nondeterministic failures in LLM agent runs. It is catalogued under Debugging & profiling on PulseGate.
- Who should use lockstepd?
- Inferred · not functionally tested: lockstepd is an open-source project built for AI agent developers.
- Does lockstepd have a free plan?
- Basis unknown · not verified: Yes — lockstepd is open source under the MIT license and free to use.
- What platforms does lockstepd run on?
- Basis unknown · not verified: lockstepd runs on the command line. It can also be self-hosted.
- Is lockstepd still maintained?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 24 commits in the last 90 days.
- Who develops lockstepd?
- lockstepd is developed by Dato Bitar.
- How long has lockstepd been around?
- lockstepd first shipped in 2026.
- Is lockstepd open source?
- Basis unknown · not verified: Yes — lockstepd is open source under the MIT license, developed on GitHub.
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