antonis19/autobrowse
🤖 AI Agentantonis19
An autonomous AI agent designed to perform complex web browsing and information retrieval tasks.
AutoBrowse serves as a bridge between autonomous agents and the live web. By utilizing advanced LLM reasoning, the agent can parse HTML, navigate through search results, and extract specific information based on user-defined prompts. It is built with a focus on modularity, allowing it to function within larger agentic ecosystems like AutoGen. Key features include autonomous navigation, context-aware content extraction, and seamless integration with RAG (Retrieval-Augmented Generation) pipelines. This allows users to feed real-time web data directly into their AI models, overcoming the limitations of static training data. The project is written in Python, ensuring high compatibility with existing AI development stacks and data processing libraries.
💡Highlights
- ├─Autonomous web navigation
- ├─AutoGen framework compatible
- └─Real-time RAG data extraction
🎯For
- ├─AI Developers
- ├─Automation Engineers
- └─Data Researchers