BrowserOS
A local open source browser designed for AI agents to perform tasks using your logged in accounts.
Recommended for
- Solo / Indie
- Idea-Stage
- Pre-Seed
- Seed
BrowserOS neo is a local, open-source browser that enables AI agents to execute web-based tasks using your existing logged-in accounts. The platform allows users to connect agents like Claude Code, Cowork, Codex, and Cursor to perform automated actions. It supports one-click login imports from Chrome to streamline the setup process for agent-driven workflows. Users can run multiple agents in parallel to handle various tasks simultaneously. The browser provides session replay capabilities, allowing you to watch and review every step taken by your agents. It features a privacy-first architecture where browsing data remains on your local machine. The tool is compatible with macOS and Windows environments.
SSIE
Stage Fit Recommendations
Following data shows why BrowserOS is recommended for listed teams. The Fit Score represents the percentage fit of BrowserOS to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Solo / Indie
$0–$2,000 MRR
71- One-click import of Chrome logins into isolated agent browser
- Each agent works in its own isolated tab
- Runs multiple agents simultaneously in parallel
- Runs as a local browser on macOS or Windows
- Records full-screen, scrubbable video of every agent session
- Replays past sessions for verification and coaching
Idea-Stage
$0
87- Agents sign into real accounts (Gmail, GitHub, bank) with your credentials
- Connects to agents via MCP with no config files or CLI
Pre-Seed
$0–$10k MRR
87- Agents navigate, click, read, and submit forms live
- Automates web tasks using compact page snapshots to reduce tokens
- Open-source codebase, independently reviewable
Seed
$10k–$100k MRR
71- Open-source codebase, independently reviewable
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