Build with AI. Ship with evidence.

Playrunner turns your Playwright tests into reusable workflows
your team, your CI, and your coding agent can run.

Go from “the code is done” to “here is what passed”.
Run real browser checks. Follow the execution. Open the report, trace, or video.

Try Playrunner Cloud →   ·   Run locally   ·   Connect your agent   ·   Read the docs

See Playrunner in a minute

Product overview · 61 seconds	Workflow & evidence · 51 seconds
A narrated tour of reusable workflows, agent connections, and sharding.	A fresh local workflow: two passing checks, the report, and screenshot evidence.

Recorded with OBS and narrated with AI on 19 October 2026. The overview shows product examples; the workflow video tours a real local run’s saved configuration, passing report, and screenshot evidence. Video notes and transcripts →

Your agent wrote it. Now check it.

A working-looking screen is a good start. A repeatable test with an inspectable result is something your team can build on.

Playrunner gives AI-assisted developers and test teams a shared place to run Playwright, reuse environments and browser sign-ins, and investigate failures. Keep your existing tests. Give them a workflow you can run again after the next change.

For vibe coders and their favourite agents

Connect a compatible MCP client to Playrunner Cloud, then ask:

Run my checkout smoke workflow once. Wait for it to finish, tell me which tests passed or failed, and include the report links.

The agent can discover projects, create workflows, start runs, and inspect the returned evidence from the same conversation. Your saved workflows remain available to your teammates and CI.

Codex · Claude · Cursor · Gemini CLI · Antigravity · Grok

Connection steps and capabilities vary by client. Use a client with remote Streamable HTTP and OAuth support, or the CLI from a shell-capable agent. [Choose your connection →](htt

... View full README on GitHub