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🧠 MCP Interactive Chat with Memory (Groq + LangChain)
This repository contains an asynchronous Python-based interactive memory-enabled chatbot powered by LangChain, Groq API, and a modular tool configuration system via MCPClient.
💬 The assistant supports contextual memory, external tools (like browser agents), and a CLI chat interface. It uses the powerful qwen-qwq-32b model from Groq.
🚀 Features
- ✅ Asynchronous CLI chat loop
- ✅ Supports memory-based conversation history
- ✅ Customizable with external tool plugins via
browser_mcp.json - ✅ Works with Groq-hosted LLMs via LangChain
- ✅ Clean exit, error handling, and "clear history" support
🧩 Tech Stack
- Python 3.10+
- LangChain
- Groq (LLM hosting)
- MCP Framework (custom modular agent and client)
- AsyncIO for smooth interactive input
- dotenv for secure API key management