
easi.run
Real Chrome for AI agents, with live human login handoff
About easi.run
easi.run gives AI agents real Chrome on your own Linux server. When a browser task stops at login, 2FA or an approval, watch live, take control for the human step, then hand the browser back so the agent can continue and download the result.
For developers and technical operators using coding agents or MCP clients. Connect via MCP or REST, reuse encrypted browser profiles, keep sessions in separate containers, upload files and download outputs to your device. Recordings and an action timeline help review workflows. This is browser infrastructure: connect your own agent and define the task.
Open source under AGPL-3.0 with no software usage fee; infrastructure and model costs apply. Requires Linux x86-64 and Docker Engine.
Source: https://github.com/julianosig/easi.run
Docs: https://docs.easi.run
Browser demo: https://easi.run/demo
Official video: https://easi.run/film/en-997a5b9681d22834.mp4
Official logo: https://easi.run/apple-touch-icon.png
What easi.run does
AINave analysisLets AI agents run browser tasks in a real Chrome instance on a self-hosted server, with a human taking over for login or approval steps.
- Best for
- DevelopersTechnical operators using coding agentsMCP client users
- Use it to
- Automating browser tasks that require logins or two-factor authentication
- Reviewing agent browser workflows through recordings and action timelines
- Keeping browser sessions logged in across agent runs
- Uploading files to and downloading outputs from agent browser sessions
- Running isolated browser sessions in separate containers
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