# easi.run Review Self-hosted, open-source Chrome browser for AI agents, connectable via MCP or REST with live human takeover built in. ## Editor's Score: 62/100 Value scores high at 22 because the tool is genuinely free with no usage caps, and the only costs are server and model-provider fees the user would pay regardless. Capability lands at 17: the human takeover mode and dual MCP/REST connectivity are real differentiators, but the lack of built-in anti-bot evasion, no CAPTCHA automation, and Linux-only host support leave meaningful gaps compared to managed alternatives. Ease of use scores 13 because self-hosting Docker on a Linux x86-64 server, configuring MCP or REST connections, and managing browser profiles all require meaningful technical setup with no managed onboarding path. Delivery scores 10 because the project has no verifiable user sentiment, no track record visible in search results, and no community signals to confirm it delivers reliably at scale; the AGPL-3.0-only license also creates a real delivery constraint for commercial builders that is not disclosed upfront on the homepage. ## Pros - Completely free with no usage fees from the tool itself; the only costs are your own server and model-provider API charges. - Human takeover mode lets a developer drop into a live agent session to handle CAPTCHAs, logins, or approval steps without restarting the workflow. - Dual connection options (MCP and REST API) mean it integrates with many agent frameworks without requiring a specific SDK. ## Cons - Requires a Linux x86-64 server with Docker; there is no Windows or macOS host support and no managed cloud fallback, so you are the ops team from day one. - AGPL-3.0-only licensing means any commercial product or SaaS built on top of easi.run must also be open-sourced under the same terms, which blocks most proprietary commercial use cases. - No built-in anti-bot evasion, proxy rotation, or CAPTCHA-solving service; the human takeover handles CAPTCHAs manually, but automated CAPTCHA resolution requires external tooling. ## Pricing Free. - Open Source (Self-Hosted): Free Pricing reflects what we saw at the time of review (2026-11). Confirm current pricing on the official site. Category: AI Coding & Dev Tools (https://aitoolseekers.com/category/ai-coding-dev-tools) Official site: https://easi.run/ Last verified by a human: 2026-11-09 Reviewed by a human at AI Tool Seekers, a hand-reviewed AI tools directory. Every listed tool is verified by a person before publishing. Scores are editorial opinions from a fixed rubric (capability, ease of use, value, delivery on promise) and cannot be bought; there is no pay-to-rank. Directory: https://aitoolseekers.com This review: https://aitoolseekers.com/tools/easirun Methodology: https://aitoolseekers.com/how-verification-works ## Verdict easi.run is the right pick for developers who need a self-hosted, zero-subscription browser layer for AI agents and want human takeover for logins and CAPTCHAs without paying per session. The tradeoff is real: you own the ops burden entirely, from provisioning a Linux x86-64 server to managing Docker, and there is no managed cloud fallback if your infra goes down. Teams that want a hosted service with SLA guarantees should look at a managed alternative instead. Best for: Developers self-hosting AI agent infrastructure with strict data-control requirements. Not for: Teams that need a managed, SLA-backed browser service with no server ops overhead. ## Overview easi.run is an open-source browser runtime built specifically for AI agents. Rather than giving an agent access to your local machine's browser or routing sessions through a third-party cloud, it spins up isolated Chrome instances inside Docker containers on a Linux x86-64 server you control. Agents connect over MCP or a REST API, and every session is observable in real time through a live view. The feature that sets it apart from pure headless libraries like Playwright or Puppeteer is the human takeover mechanism. When an agent hits a login wall, a CAPTCHA, or a step that requires human judgment, you can drop into the session directly, handle the blocker, and hand control back to the agent. Saved browser profiles let you persist cookies and authentication state across runs, and file upload and download are supported natively, which matters for agents that need to process documents or export results. The license is AGPL-3.0-only, which means the source is open but any network-facing service you build on top of it must also be open-sourced under the same terms. That is a meaningful constraint for commercial products built around easi.run. The project is hosted on GitHub under julianosig/easi.run, and documentation lives at docs.easi.run. There are no managed tiers, no credits to buy, and no vendor lock-in on the browser infrastructure side. ## Who should use it easi.run fits developers building or prototyping AI agent pipelines who need a browser layer they fully control. A solo developer running agents against internal tools, a small team automating authenticated workflows on a private server, or a researcher who cannot send session data to a third-party cloud will all find the self-hosted model attractive. The human takeover feature is genuinely useful for anyone whose agents regularly hit login screens or CAPTCHAs that break fully autonomous runs. If you need a managed service with uptime guarantees, horizontal scaling, or a no-ops setup, easi.run is the wrong tool. GitHub Copilot is a better fit if your primary need is AI assistance inside a code editor rather than a browser runtime for agents. For teams that want an open-source coding agent that handles end-to-end GitHub workflows without managing browser infrastructure, Orbi is worth evaluating instead. ## FAQ Q: Does easi.run cost anything to use? A: The tool itself is free under AGPL-3.0-only. You pay your own server hosting costs and any model-provider API fees. There are no subscription tiers or usage fees charged by easi.run. Q: What server do I need to run easi.run? A: You need a Linux x86-64 machine with Docker installed. There is no support for Windows or macOS hosts, and no managed cloud option is provided by the project. Q: What does the AGPL-3.0-only license mean for commercial use? A: AGPL-3.0-only requires that any software you build on top of easi.run and offer as a network service must also be released under the same license. This effectively blocks proprietary SaaS products built around easi.run without a separate commercial license arrangement. Q: How do agents connect to easi.run? A: Agents connect via MCP (Model Context Protocol) or a REST API. Both options are supported natively, so you are not locked into a specific agent framework or SDK. Q: Can easi.run handle CAPTCHAs automatically? A: Not automatically. The human takeover feature lets a developer drop into a live session to solve a CAPTCHA manually, but there is no built-in automated CAPTCHA-solving service. External tooling would be needed for fully unattended CAPTCHA resolution. Q: Where is the source code and documentation? A: The source code is on GitHub at julianosig/easi.run and documentation is at docs.easi.run.