AI Agents
agent-device
Mobile app automation and verification built for AI coding agents — CLI, MCP server, and Node API
★ 4.9k starsMIT
View guide →A fast browser-automation CLI built for AI agents.
agent-browser is an open-source ai agents project by vercel-labs (vercel-labs/agent-browser on GitHub). It has 43,646 GitHub stars and 2,954 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Anything that can run a shell command can drive it.
Fast startup and a single static binary.
Designed for LLM agents, not QA scripts.
Pipes and scripts chain browser actions easily.
An experiment from the Vercel team.
Open source and commercially usable.
Download the source and move into the project folder.
git clone https://github.com/vercel-labs/agent-browser.git
cd agent-browserCompile an optimized release build with Cargo.
cargo build --releaseTreat these as starting points - the README documents the exact commands.
cargo run -- --helpThe project lives at vercel-labs/agent-browser and has attracted 2954 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
Browser control runs locally and is free; you only pay if you pair it with a hosted model API.
agent-browser is a Rust CLI you shell out to; browser-use is a Python library you embed. Pick the CLI for language-agnostic pipelines, the library for deep Python integration.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
Mobile app automation and verification built for AI coding agents — CLI, MCP server, and Node API
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