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agentlahon

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 30 Aug 2026. How this is checked

agentlahon is an MIT-licensed Python package for unit testing AI agent behavior, including whether agents take correct actions rather than merely produce plausible text. It is intended for developers evaluating, governing, and regression-testing agentic systems.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Testing whether AI agents perform the correct actions and achieve intended outcomes.

Inferred · not functionally tested

Audience: AI developers and ML engineers

Inferred · not functionally tested

Functions: analytics

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.

agentlahon sits in PulseGate's Agent evaluation & testing category. Inferred · not functionally tested: It focuses on testing whether AI agents perform the correct actions and achieve intended outcomes. Inferred · not functionally tested: It is built as an open-source project for AI developers and ML engineers. Basis unknown · not verified: agentlahon is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

It is developed by Anurag Lahón, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include agent unit tests, behavior evaluation, and outcome testing.

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

Tasks: Inferred · not functionally tested

  • Agent unit tests
  • Behavior evaluation
  • Outcome testing
  • LLM evaluation
  • Regression testing
  • Governance checks

Topics: Inferred · not functionally tested

Tags
ai-agent-testingllm-evaluationagent-governancebehavioral-testing
AI capabilities
TextStructured

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed30 Aug · 04:26 UTC
    agentlahon seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about agentlahon

What does agentlahon do?
Inferred · not functionally tested: Agentlahon focuses on testing whether AI agents perform the correct actions and achieve intended outcomes. It is catalogued under Agent evaluation & testing on PulseGate.
Who is agentlahon for?
Inferred · not functionally tested: agentlahon is an open-source project built for AI developers and ML engineers.
Is agentlahon free?
Basis unknown · not verified: Yes — agentlahon is open source under the MIT license and free to use.
What platforms does agentlahon run on?
Basis unknown · not verified: agentlahon runs on the command line. It can also be self-hosted.
Is agentlahon still active?
PulseGate's liveness check found it on 3 Oct 2026.
What projects are similar to agentlahon?
Similar projects tracked by PulseGate include agent-alibi, AgentLasso, and agentidem.agent-alibiAgentLassoagentidem
Who develops agentlahon?
agentlahon is developed by Anurag Lahón.
How long has agentlahon been around?
agentlahon first shipped in 2026.

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