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agentassay

github.comInfrastructure

PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 27 Jun 2026. How this is checked

agentassay is an open-source Python package designed for formal regression testing of non-deterministic AI agent workflows. It provides tools for verifying the reliability and correctness of agent-based systems, supporting stochastic and CI/CD testing scenarios. Ideal for AI developers and QA engineers working with complex agent architectures.

Inferred · not functionally tested

Open SourceAGPL-3.0CLI
agentassay preview
Visit github.com
5stars
1fork
5features
2026since

Overview

5 features

Purpose: Ensuring reliability and correctness of non-deterministic AI agent workflows through formal regression testing.

Inferred · not functionally tested

Audience: AI developers and QA engineers

Inferred · not functionally tested

Functions: monitoring

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: AGPL-3.0 · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

agentassay is an Agent evaluation & testing project. Inferred · not functionally tested: It focuses on ensuring reliability and correctness of non-deterministic AI agent workflows through formal regression testing. Inferred · not functionally tested: It is built as an open-source project for AI developers and QA engineers. Basis unknown · not verified: agentassay is open source under the AGPL-3.0 license. Basis unknown · not verified: agentassay is available on the command line.

Qualixar builds and maintains agentassay, and it first shipped in 2026. Development happens publicly on GitHub with 7 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include regression testing, agent workflow testing, and stochastic testing.

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

Tasks: Inferred · not functionally tested

  • Regression testing
  • Agent workflow testing
  • Stochastic testing
  • CI/CD integration
  • Formal verification

Topics: Inferred · not functionally tested

Tags
agent-testingregression-testingstochastic-testingai-agentsci-cd
AI capabilities
Code

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropicopenai
Runs on
CLI

Trust & compliance

License
AGPL-3.0
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 5Active maintenance

Indexing history

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Frequently asked questions about agentassay

What does agentassay do?
Inferred · not functionally tested: Agentassay focuses on ensuring reliability and correctness of non-deterministic AI agent workflows through formal regression testing. It is catalogued under Agent evaluation & testing on PulseGate.
Who is agentassay for?
Inferred · not functionally tested: agentassay is an open-source project built for AI developers and QA engineers.
Does agentassay have a free plan?
Basis unknown · not verified: Yes — agentassay is open source under the AGPL-3.0 license and free to use.
What platforms does agentassay run on?
Basis unknown · not verified: agentassay runs on the command line.
Is agentassay still maintained?
PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 7 commits in the last 90 days.
What are alternatives to agentassay?
Similar projects tracked by PulseGate include agent-probe-ai, agent-diagnostics, and agentassist.agent-probe-aiagent-diagnosticsagentassist
Who makes agentassay?
agentassay is developed by Qualixar.
When did agentassay launch?
agentassay first shipped in 2026.

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