AI Agents
PhyAgentOS-core
Recursive self-improving physical agent OS — verified, evidence-based execution for robots and simulators
★ 2.8k starsMIT
View guide →A self-improving QA agent that writes tests in plain English.
agent-qa is an open-source ai agents project by vostride (vostride/agent-qa on GitHub). It has 902 GitHub stars and 20 forks, is released under the NOASSERTION license, and was last updated on GitHub on 3 August 2026.
Write down the outcome you want in one sentence.
Clone it locally and check the README.
Get dependencies and tooling in place per the docs.
Follow the minimal example, then adapt it to your needs.
Describe behavior; the agent handles selectors.
Learns from every test run.
Survives redesigns that break brittle tests.
One harness for both platforms.
Finds breakage before users do.
History informs future runs.
Download the source and move into the project folder.
git clone https://github.com/vostride/agent-qa.git
cd agent-qaPull in the Node packages the project needs.
npm installStart it with the project's documented command (often a dev server).
npm run dev # check README for the exact scriptIt is an open-source project at vostride/agent-qa with 20 forks. Check the contributors tab and recent commits to judge how active maintenance is.
GitHub lists no license for this repo, so legally it's all rights reserved — check the README or ask the maintainer before building on it.
Web and mobile flows, described in natural language — the agent handles selectors and adapts to UI changes.
It keeps memory of past runs and learns from failures — a test harness with a memory, per the README.
Clone the repo and follow the README quickstart — the docs at https://vostride.com walk through setup.
Recursive self-improving physical agent OS — verified, evidence-based execution for robots and simulators
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Free and open — grab the source, star the repo, and start creating.