LangChain + LangGraph Client
Connects LangChain and LangGraph agents to a FastMCP server to utilize external tools and maintain conversational state.
About
This project provides a robust integration of an MCP server with a sophisticated LangChain and LangGraph client, enabling powerful LLM-driven applications. The client, built on FastAPI, leverages a State Graph to manage conversational flow and maintain memory for agents, similar to leading AI chatbots. It employs a ReAct agent for intelligent reasoning, allowing it to dynamically select and utilize tools provided by the FastMCP server to fulfill complex user requests and deliver precise responses.
Key Features
- LangChain and LangGraph Integration
- State Graph for Conversational Flow Management
- Thread-based Conversational Memory
- ReAct Agent Implementation for Tool Orchestration
- FastMCP Server Backend for Tool Provisioning
- 2 GitHub stars
Use Cases
- Building conversational AI agents with persistent memory
- Developing LLM applications that interact with external systems via tools
- Automating complex multi-step tasks through intelligent agent reasoning
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