Tools for shared work between people and agents
OneTest builds Applied AI products around a simple idea: AI becomes useful when it works from durable context, produces inspectable artifacts, and participates in the same systems as the people around it.Our principles
Keep the work visible
Plans, test assets, presentations, decisions, and reports should remain inspectable after an agent session ends. Whenever practical, they belong in files and repositories that teams already understand.Give agents explicit contracts
An instruction is not enough. Useful agent workflows need acceptance criteria, structured tools, observable outcomes, and completion gates.Fit existing workflows
Our products integrate with Git, GitHub, VS Code, browsers, desktop applications, MCP, and standard command-line tools. Adoption should not require moving all work into a proprietary environment.Prefer focused tools
OneTest is a collection of focused projects rather than a single monolithic platform. Each tool should solve a concrete problem well and compose with the others through open interfaces.Build in public
We publish source code, design decisions, limitations, and unfinished experiments. Public development makes the work easier to inspect, challenge, reuse, and improve.Our roots
OneTest started with AI-assisted testing. That experience produced a broader set of questions:- How should agents share plans with people?
- How does work survive beyond a chat session?
- How can outcomes be verified rather than merely claimed?
- How should agent-created artifacts fit established engineering workflows?
Explore the projects
See the current OneTest product family.
Contribute on GitHub
Follow development, open an issue, or contribute code and ideas.