Browser Use Web UI
https://github.com/browser-use/web-ui- Category
- AI Agents
- Rank
- No. 494Tools index
- Pricing
- Open Source
- Type
- AGENT
- Builder
- browser-use
- GitHub
- 16.3k stars
- Latest release
- v3.0.0
- Date
About
Web UI for the Browser Use library — run AI agents that navigate websites for you, with a familiar browser-based control panel.
What it does
A Gradio workspace organizes model setup, browser controls, agent execution, deep research, and reusable configuration. It can launch a managed browser or connect to an existing Chrome profile, preserve browser state across tasks, and expose recordings or traces after completed runs.
Why it's ranked here
This is a practical operator console, not merely a thin prompt box. Broad model routing, persistent sessions, custom browser profiles, Docker deployment, and MCP tool intake make it useful for hands-on experiments. The setup burden and several brittle implementation details keep it from feeling turnkey.
What's good
The interface separates agent, browser, execution, research, and configuration concerns into clear tabs. Users can save settings, watch containerized browser activity through VNC, retain session state, and avoid repeated authentication by attaching an existing browser profile. Model choices cover hosted and local providers.
Tradeoffs
Local installation requires Python, dependency installation, Playwright browser setup, environment configuration, and API keys. Reusing Chrome data requires closing Chrome and opening the control panel in another browser. Provider handling contains special-case parsing, while some dependencies are unpinned. The supplied code also mixes two Pydantic compatibility layers in one module.
How to use it well
Use it for interactive browser-agent prototyping, comparing model providers, observing navigation, and repeating tasks with saved settings or persistent sessions. Docker suits isolated evaluation; a local browser profile suits authenticated workflows. It does not replace the underlying automation library, nor does the supplied text establish production access control, hosted service management, or automated testing.
Technical notes+
src/webui/interface.py builds a Gradio Blocks application with agent settings, browser settings, execution, deep research, and configuration tabs. src/webui/webui_manager.py stores component mappings and serializes settings to timestamped JSON. src/utils/llm_provider.py routes providers through LangChain integrations and contains custom DeepSeek reasoning parsing. src/utils/mcp_client.py creates a MultiServerMCPClient and converts tool schemas into dynamic Pydantic action models, but imports BaseModel and Field from both current and v1 namespaces. src/browser/custom_browser.py extends Browser Use with merged context configuration, launch arguments, proxy support, and remote-debugging port conflict detection. requirements.txt pins several core packages while leaving others unpinned.
Observed
- Primary language
- Python
- User interface
- Gradio web application
- Core integration
- Built on the Browser Use library
- Installation surfaces
- Local Python environment or Docker Compose
- Browser engine
- Playwright, with Chromium installation documented
- Platform guidance
- Local setup covers Windows, macOS, and Linux; Docker includes ARM64 guidance
- Extension interface
- MCP servers can supply tools through a multi-server client
- Configuration
- API keys and endpoints use environment settings; UI settings can be saved and loaded as JSON
Read from README.md, requirements.txt, src/utils/utils.py, src/utils/config.py, src/webui/interface.py, src/utils/mcp_client.py, src/utils/llm_provider.py, src/webui/webui_manager.py, src/browser/custom_browser.py.
What it can do
Navigate websites automatically using AI agents
Website URL and navigation instructions → Automated website interactions and data extraction
Control AI browsing agents through web interface
User commands and browsing objectives → Executed browsing tasks and results
Monitor AI agent browsing activities in real-time
Running AI browsing sessions → Live browsing progress and status updates
Configure AI agent browsing parameters
Browsing settings and preferences → Customized AI agent behavior profiles
Extract data from websites using AI automation
Target websites and data extraction requirements → Structured data from web pages
Execute complex multi-step website workflows
Workflow definitions and target websites → Completed automated website tasks
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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.