Agent DosiBridge

关于

Agent DosiBridge is a comprehensive, full-stack AI agent platform designed to facilitate advanced conversational AI experiences. It integrates Retrieval Augmented Generation (RAG) capabilities with Model Context Protocol (MCP) support, enabling robust multi-LLM interactions. Built with a FastAPI backend and a Next.js frontend, it provides a ChatGPT-like interface featuring real-time streaming responses, efficient document management, and sophisticated RAG functionalities for dynamic information retrieval, making it a powerful tool for developing intelligent agents.

主要功能

• 1 GitHub stars
• Model Context Protocol (MCP) integration for extensible tooling and external agent capabilities
• Comprehensive document management with user-specific collections for targeted querying
• Streaming chat with real-time character-by-character responses via Server-Sent Events (SSE)
• Multi-LLM Support including OpenAI, Google Gemini, Groq, and Ollama models
• Advanced RAG System featuring hybrid search, cross-encoder re-ranking, and per-user vectorstores

使用案例

• Build custom AI chatbots with integrated Retrieval Augmented Generation (RAG) for enhanced context.
• Manage and query personal or organizational document knowledge bases through a conversational AI interface.
• Develop AI agents capable of interacting with various external tools and services via the Model Context Protocol (MCP).