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agenteval-debugger

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 13 Aug 2026. How this is checked

agenteval-debugger is an MIT-licensed Python package for debugging AI agent executions. It provides tracing and observability capabilities for learners and developers working with agent workflows such as LangGraph.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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1star
4features
2026since

Overview

4 features

Purpose: Debugging and understanding the execution traces of AI agent workflows.

Inferred · not functionally tested

Audience: AI developers and learners

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.

In the LLM & agent tracing space, agenteval-debugger takes a focused approach. Inferred · not functionally tested: It focuses on debugging and understanding the execution traces of AI agent workflows. Inferred · not functionally tested: It is built as an open-source project for AI developers and learners. Basis unknown · not verified: agenteval-debugger is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind agenteval-debugger is Xhan-985, and it first shipped in 2026. The project is developed in the open on GitHub with 35 commits in the last 90 days. Inferred · not functionally tested: Among its 4 catalogued features are agent tracing, execution debugging, and observability.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Agent tracing
  • Execution debugging
  • Observability
  • LangGraph support

Topics: Inferred · not functionally tested

Tags
ai-agent-debuggingagent-tracinglanggraph-observabilitypython-package

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHub · ★ 1Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed13 Aug · 18:55 UTC
    agenteval-debugger seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about agenteval-debugger

What does agenteval-debugger do?
Inferred · not functionally tested: Agenteval-debugger focuses on debugging and understanding the execution traces of AI agent workflows. It is catalogued under LLM & agent tracing on PulseGate.
Who should use agenteval-debugger?
Inferred · not functionally tested: agenteval-debugger is an open-source project built for AI developers and learners.
Is agenteval-debugger free?
Basis unknown · not verified: Yes — agenteval-debugger is open source under the MIT license and free to use.
What platforms does agenteval-debugger run on?
Basis unknown · not verified: agenteval-debugger runs on the command line. It can also be self-hosted.
Is agenteval-debugger still active?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 35 commits in the last 90 days.
What projects are similar to agenteval-debugger?
Similar projects tracked by PulseGate include AI Agents Debugger, agent-debug, and AgentEval.AI Agents Debuggeragent-debugAgentEval
Who develops agenteval-debugger?
agenteval-debugger is developed by Xhan-985.
How long has agenteval-debugger been around?
agenteval-debugger first shipped in 2026.

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