agent-qa

Open-source AI end-to-end testing for web and mobile apps. Write tests in natural language. agent-qa runs them in an agentic test runtime that builds execution memory from every run, so teams and coding agents catch regressions before releases ship. (by vostride)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better agent-qa alternative or higher similarity.

agent-qa discussion

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agent-qa reviews and mentions

Posts with mentions or reviews of agent-qa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2026-05-20.
  • Show HN: Open-Source Agentic QA Harness with Memory
    3 projects | news.ycombinator.com | 20 May 2026
    I would say that agent-qa is not only frontend focused. As you can run hooks in sandboxed env to test apis, so a better way to put it is with agent-qa you can test the product end-to-end not only UI.

    But the issue with API testing / backend is that coding harnesses are really good at it. A product manager who writes user stories should be able to write tests for the product, and usually PMs don't care about the APIs.

    Do give agent-qa a try, and consider giving it a star on GH https://github.com/vostride/agent-qa

    Thanks!

  • Show HN: Id-agent – Token efficient UUID alternative for AI agents
    5 projects | news.ycombinator.com | 19 May 2026
    It is being used in production at https://vostride.com/agent-qa
  • Open-Source Agentic QA Harness with Memory
    2 projects | news.ycombinator.com | 19 May 2026
  • Show HN: Agent-QA – natural-language E2E tests for apps built with coding agents
    1 project | news.ycombinator.com | 18 May 2026
  • Show HN: Agent-QA: Open-source AI end-to-end testing for web and mobile apps
    1 project | news.ycombinator.com | 18 May 2026
    Hey, I am the creator of agent-qa.

    Coding agents have accelerated software development, allowing folks to ship features at lightning speed, but whether the feature works in production without breaking existing behavior is still questionable.

    Conventionally, either a software engineer or a QA engineer converts user stories / feature PRDs into composable end-to-end tests, allowing teams to catch regressions.

    But with AI writing code, tests become the bottleneck. Though you can ask the coding agent to write tests, and it does write tests with reasonable correctness, AI greedily chases passing tests and sometimes bends the rules. Also, having access to the code allows it to write tests with shortcuts that might not mimic real user behavior.

    With agent-qa, you can write tests in plain English (natural language). It is built upon battle-tested testing frameworks (Playwright for web and Appium for mobile). Playwright and Appium work as a kernel executing the planned actions, while AI runs in the harness doing observation -> planning -> executing planned actions (via kernel) -> self-healing (in case a planned action fails) -> verification.

    The agent also evolves with every test run. It generates learning & product memories from each run, improving itself over time.

    This is in an early stage, and I’m looking forward to your feedback.

    Thanks!

    GitHub - https://github.com/vostride/agent-qa

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vostride/agent-qa is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

The primary programming language of agent-qa is TypeScript.


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