Made for parallel agents
Several worktrees, several sessions, one of you. Finished tasks queue up faster than you can click through them — recordings let you verify asynchronously instead of dropping everything to re-run a flow by hand.
AGENT-RECORDED PROOF
Stop clicking through your agents’ work.
When an AI agent finishes a task, it records the browser run, uploads it over MCP, and hands back a link. You watch the proof when you are ready — while your other agent sessions keep moving.
What the proof looks like
Every recording is an agent driving a real browser — cursor, clicks and captions. This one is an agent walking through this very app.
One MCP call to publish
Upload is a tool call at the end of the agent’s cycle, using whatever browser automation it already runs. No SDK to integrate, no CI plumbing to maintain.
Proof, not an archive
Every recording expires 14 to 60 days after upload, depending on the project’s plan. Your verification stream stays small and current instead of growing into a video graveyard you pay for.
Built for teams
Projects work the way they do on GitHub: invite the team as owners, members, or viewers, and keep recordings and API keys grouped per project.
How it works
- Your agent records the run with whatever browser automation it already uses.
- It uploads the recording over MCP, straight to private storage, and gets back a viewer link. Your storage credentials never reach the agent.
- You open the link, watch what happened, and mark the recording reviewed.
Anyone holding a viewer link can watch it, so never record credentials or anything else you would not publish. When a recording expires, the link dies with it.
Free to start
The free plan holds 25 active recordings and 1.5 GB, keeps each one for 14 days, and asks for no card.
Let the next run prove itself.
Sign in, create a key, and your agent’s next task ends with a video instead of a promise.
Start free