Most browser-automation tools either drive an external browser (losing logins and causing tab conflicts) or embed a single built-in agent. ego lite takes a different approach: it is a daily-use macOS browser designed from the ground up for both humans and arbitrary AI agents to share the same profile without colliding. That design reduces login friction, keeps your workflow uninterrupted, and compresses multi-step agent actions into fewer tool calls.
What Sets It Apart
- Dedicated, isolated Spaces per agent — each agent runs in its own workspace inside the same browser, so agents can multitask in parallel without stealing user tabs or state. This means you can continue browsing while agents scrape, interact, or test pages in the background.
- Native-style agent interface (ego-browser) — agents call in-page JavaScript tools (snapshot, fill, click, navigate, capture) rather than chaining CLI commands, which reduces round trips and token usage and often finishes complex workflows faster.
- Real-login inheritance and local data storage — on first launch users may opt to migrate Chrome data so agents have access to real cookies, logins, and extensions without exposing data off-device; session state stays local to the machine.
- Engineered page Snapshots for robustness — kernel-level customizations produce higher-fidelity page snapshots that reliably handle tricky cases (deep iframes, nested elements) where many view-text approaches fail.
Who it's for and tradeoffs
Great fit if you run agent-driven web automation that must reuse real user sessions (e.g., personal outreach, scraping behind logins, automated UI tasks) or if you want multiple agents to run concurrently without interrupting your browsing. It also appeals to teams building agent Skills who prefer a JavaScript function API instead of a CLI-based orchestration.
Look elsewhere if you need a cross-platform solution today (ego lite is macOS-first), require an open-source browser binary (the repository provides the agent skill and docs; the browser is a separate downloadable app), or must run on remote Linux servers where a GUI browser is impractical. Expect a tighter integration and macOS dependency compared with pure library-based automation frameworks.
Where it fits
Positioned between browser-automation libraries (which need an external browser and often lose session state) and single-agent AI browsers (which lock you into one agent). ego lite aims to be the shared browser that any agent CLI can drive while preserving the user's daily browsing environment.
