Chromium browser with an user interface to run multi-agent workflows directly on the browser using a stateful, orchestration framework.
Download the Agentic Browser for MacOS
Or
Set up the chromium dev tools with Agent framework on your system
Note: Read this document to know more about the build
- Built in Agent Framework for running tasks / workflows.
- Ability to perform actions such as: Navigate URLs, Perform Actions (Clicks, Fill Form, Scroll).
- The agent can autonmously plan and execute tasks on behalf of user, such as
- Summarize content
- Deep research topics
- Literature reviews
- Product comparisons
- Shopping assistance
- Advanced search
- And many more
- Integrates with 100+ LLM Models
- OpenAI GPT-4.1, O4-Mini
- Claude 4, 3.7, 3.5
- Google Gemeni
- Llama
- Deepseek
- Qwen
- And many more
- Integrates with LiteLLM which supports ability to use multiple providers
- Huggingface
- Groq
- Azure
- AWS
- OpenRouter
- vLLM
- Ollama
- And many more
- Customize workflows or agent behavior with config changes.
Watch Browser Operator in action with our demo videos:
Browser Operator seamlessly integrates public web data with your private documents and knowledge bases, creating comprehensive research without switching between tools.
Deep.Research.PSPs.mp4
Streamline your shopping research by automatically gathering specifications, user ratings, and availability across retailers, to help you make confident purchasing decisions.
Amazon.Product.Search.mp4
Efficiently discover and evaluate potential candidates based on skills, experience, and portfolio quality, creating detailed profiles for recruitment decision-making.
Finding.a.consultant.in.Upwork.mp4
Features | Status |
---|---|
Multi-Agent Workflow | Completed (Initial Release) |
OpenAI LLM | Completed (Initial Release) |
Local LLM | Completed (May 22) |
MCP | Planned |
Customize System Prompts in UI | Planned |
Customize Agents in UI | Planned |
Customize Workflow Graphs in UI | Planned |
Eval Management | Planned |
Memory | Planned |
A2A Protocol | Planned |
front_end/panels/ai_chat/core/Readme.md
: Explains how to customize theBaseOrchestratorAgent
to add new top-level agent types and UI buttons, and details its graph-based workflow.front_end/panels/ai_chat/agent_framework/Readme.md
: Describes the AI Agent Framework, its core components (ConfigurableAgentTool
,AgentRunner
,ToolRegistry
), and how to create, configure, and register new custom agents, including agent handoff mechanisms.
LiteLLM_Demo.mp4
- Click on the setting config inside the chat panel
- Select LiteLLM Provider
- Input the LiteLLM URL and API key
- Click on fetch models to test the configuration
- Click save to update the configuration
Found a bug 🐛 or have a feature idea ✨? Please create issues here
If you like this project, don't hesitate to ⭐ star this repository. For those who'd like to contribute code or just hang out with the community please join our Discord.