browser-use
Python · MIT
browser-use enables browser automation for agents, allowing LLMs to understand pages and perform complex web interactions.
browseragentautomationpython
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Overview
browser-use vs Agent Browser: choosing a browser agent tool
browser-use (109k+ stars, MIT) ships both a Python library (embedded in agents) and a CLI skill (called by agents), so AI agents can use it via Python import or shell commands. Agent Browser (Vercel Labs, 40k+ stars, Apache-2.0) is a Rust-native CLI plus daemon where AI agents invoke it via shell, designed for speed and LLM-friendly output. We compare product form, performance, browser coverage, and typical scenarios.
Projects Compared
Agent Browser
Rust · Apache-2.0
An open-source browser automation CLI for AI agents by Vercel, built with Rust for high performance and programmability.
browser-automationclirustagent-tool
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Feature Comparison
| Best for | browser-use | Agent Browser |
|---|---|---|
| Product form | Python library (uv add browser-use or pip install) plus CLI skill (browser-use skill install). Agents can embed it in Python or invoke it via shell. Python 3.11+. | Rust-native CLI tool (called by agents) plus MCP stdio server plus WebSocket streaming plus HTTP dashboard. Agents invoke via shell commands. |
| Performance and architecture | Python single-process. Depends on Playwright or bundled Chromium. Medium startup time but rich Python ecosystem. | Rust daemon architecture. Direct CDP communication, no Node.js runtime needed. Fast startup, low resource usage. |
| Browser coverage | Explicitly supports Chrome and Chromium-engine browsers. Playwright-based; cross-browser testing works through the Playwright engine (Chromium / Firefox / WebKit). | Chrome (default, Chrome for Testing), Lightpanda, Safari / iOS (via WebDriver). Remote browser support: Browserbase, Browserless, AWS Bedrock AgentCore, Kernel, Browser Use cloud services. |
| LLM integration | Multi-LLM provider: OpenAI, Anthropic, Google, DeepSeek, Ollama, etc. Automation loop embedded in agent code. | LLM-friendly output: refs (@e1, @e2), accessibility snapshots, --json flag. CLI standard output is easy for LLMs to parse. |
| Best fit | Embedding browser automation in Python projects, cross-browser testing, complex form filling and data extraction, existing Python toolchains. | Agents that need a CLI tool (Node / TS / Rust ecosystem), remote browser plus cloud scenarios, ultra-low startup latency, iOS Safari testing. |
GitHub Stats
| Metric | browser-use | Agent Browser |
|---|---|---|
| Stars | 112.1k | 41.8k |
| Forks | 12.3k | 2.8k |
| Language | Python | Rust |
| License | MIT | Apache-2.0 |
| Last commit | September 3, 2026 | September 2, 2026 |
Which one should you choose?
Choose based on your primary workflow, language ecosystem, and integration needs. Review each project's documentation and recent GitHub activity before adopting it in production.
Frequently asked questions
Are browser-use and Agent Browser the same kind of tool?
Both are browser automation tools. browser-use ships a Python library plus a CLI skill; Agent Browser is a Rust-native CLI. Both are designed for AI agents to call but with different tech stacks. They can coexist.
Which has better performance?
Agent Browser uses Rust native plus direct CDP communication, with lower startup and execution latency. browser-use is a Python library with adequate performance but slower startup. Pick Agent Browser for ultra-low latency.
Which is better for cross-browser testing?
browser-use is Playwright-based, supporting Chromium, Firefox, and WebKit out of the box. Agent Browser defaults to Chrome only and needs cloud providers for other browsers.
Can I use both together?
Yes. A complex scenario can use browser-use for the main agent flow and Agent Browser for low-level browser calls (taking advantage of Rust performance).