Ai agent
AI Agent Learning Project built with Python, featuring agent workflows, memory management, vector databases (FAISS and ChromaDB), and MCP server integration. The repository contains multiple hands-on challenges demonstrating AI agent development, persistent memory storage, retrieval-augmented capabilities, and tool-based interactions for building intelligent and scalable agentic systems.
This project is a collection of AI Agent development challenges implemented in Python. It demonstrates core concepts such as agent workflows, memory management, vector databases (FAISS and ChromaDB), persistent storage, and MCP server integration. The repository includes practical examples for building intelligent agents capable of storing, retrieving, and utilizing information efficiently. It serves as a hands-on learning resource for understanding modern AI agent architectures and scalable agentic systems.
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