Desktop

Where Agentify Desktop earns its keep is the sessions. Most browser automation makes you log in again, store credentials, and hope the site's API doesn't change. This flips it — the agent uses the ChatGPT, Claude, AiStudio, or Grok session you already have open, so the permission model is your own browser state rather than a new cloud token you have to audit. Pick this when you are already writing MCP tooling for Codex or another MCP-capable client and you want browser control as another tool. Pick it harder when the job is batchy: collecting images from several image-capable sessions, or running the same prompt across multiple LLM platforms and diffing the answers. Parallel tab execution turns those from serial chores into a single fan-out. Pass if you need someone else to keep it running. There is no managed hosting layer here, no uptime SLA, and no support contract — the server lives on your machine, which means your machine's problems are your problems. Pass too if your automation targets sites outside the supported AI platforms; this is purpose-built for those UIs, not a general Playwright replacement. Against writing Playwright yourself, the honest comparison is scope. Playwright lets you script one fixed flow and owns nothing else. Agentify Desktop gives an agent a general browser surface it can reason over, which matters when the steps aren't known in advance — but you inherit a private beta, an open-source codebase to read, and connection issues to debug. In practice, budget an afternoon for first setup: Node environment, MCP client wiring, and figuring out which of your logged-in sessions the agent should touch. Keep the blast radius small at first, since the agent acts with the full permissions of whatever account it's driving. The Linux signal is worth