agent-chronicle
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 22 Jul 2026. How this is checked
agent-chronicle is a Python package for recording and replaying agent decision graphs. It allows developers to capture LLM agent behavior in production, reproduce failures as committed regression tests, and re-run fixes without making live LLM calls. Built with support for OpenInference and OpenTelemetry, it is intended for teams building and maintaining reliable autonomous AI agents.
Inferred · not functionally tested
Overview
4 featuresPurpose: Reproducing and debugging production failures in LLM agent decision-making without repeated live model inference calls.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: agents, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
agent-chronicle sits in PulseGate's Agent evaluation & testing category. Inferred · not functionally tested: It focuses on reproducing and debugging production failures in LLM agent decision-making without repeated live model inference calls. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line.
It is developed by theagentplane, and it first shipped in 2026. Development happens publicly on GitHub with 33 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include record-replay, regression testing, and decision graph capture. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Record-replay
- Regression testing
- Decision graph capture
- LLM-free replay
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
2What PulseGate has recorded for this listing
- Indexed22 Jul · 14:08 UTCagent-chronicle seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about agent-chronicle
- What does agent-chronicle do?
- Inferred · not functionally tested: Agent-chronicle focuses on reproducing and debugging production failures in LLM agent decision-making without repeated live model inference calls. It is catalogued under Agent evaluation & testing on PulseGate.
- Who should use agent-chronicle?
- Inferred · not functionally tested: agent-chronicle is an open-source project built for developers.
- Does agent-chronicle have a free plan?
- Basis unknown · not verified: Yes — agent-chronicle is open source under the MIT license and free to use.
- What platforms does agent-chronicle run on?
- Basis unknown · not verified: agent-chronicle runs on the command line.
- Is agent-chronicle still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 33 commits in the last 90 days.
- What are alternatives to agent-chronicle?
- Similar projects tracked by PulseGate include agent-replay-py, agent-regress-cli, and replay-agent.agent-replay-pyagent-regress-clireplay-agent
- Who makes agent-chronicle?
- agent-chronicle is developed by theagentplane.
- When did agent-chronicle launch?
- agent-chronicle first shipped in 2026.
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