chatbot-with-vector-store-memory-mcp-tools-and-voice-mode
This project features an AI chatbot that serves as a sophisticated study companion, utilizing vector store memory and MCP tools. It allows for interactive conversations in both text and voice formats, providing a personalized learning experience. The system includes long-term memory capabilities and efficient similarity search for context retrieval.
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Framework for building and managing multi-agent systems with Model Context Protocol (MCP) and LangGraph support. Features a modern React UI, JWT-secured agent communication, and dynamic LLM provider integration (OpenAI, Azure, Google). Easily create, configure, and monitor agents that connect to external tools—all from a single interface.