For developers building agents that need to browse the web, Browser Use is an open-source library that lets AI agents control a real browser, powering agent projects like Manus.
Presence & Market Position
#50 of 113
GTM Developer Tools
▲ 23 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Browser Use is positioned as an infrastructure layer for agentic browsing rather than a branded end-user product — an open-source library and hosted service that other agent tools, including Manus, build on top of. It sells direct browser control in place of screenshot-guided automation, priced transparently by the browser-hour, with an open-source core alongside a managed, hosted option. The conversation around it runs practitioner to practitioner: builders describe folding it into multi-tool automation stacks alongside coding agents and data platforms, compare its native-control approach against older pixel-guided automation, and pass along its open-source releases, like a tool that converts web pages to markdown for free.
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Business Profile
Browser Use was founded in 2024 by Magnus Müller and Gregor Žunič, who met through ETH Zurich's Student Project House and built the company through Y Combinator's Winter 2025 batch. The company closed a $17 million seed round in March 2025 led by Felicis Ventures, with Y Combinator and Paul Graham among the backers, and has since crossed 100,000 stars on GitHub, a mark of the open-source library's developer reach. With a team of 24 and $1.4 million in reported 2025 ARR, the company remains independent and early-stage, still built around the open-source core that established it.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Browser Use's shipped surfaces started with an open-source SDK giving agents direct browser control, and the company has since built a CLI aimed squarely at coding agents like Codex, Claude Code, and Cursor, using direct browser-protocol control rather than screenshot-based automation. Its more recent releases push toward a hosted agent product, with a sandboxed workspace and cloud access to frontier models built around that same control layer.
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