magnusnwa18/ai-agents-course-langchain-huggingface

This repository demonstrates how to build AI agents by combining LangChain (agent orchestration, chains, tools, memory) with Hugging Face models. It’s intended for developers, ML engineers and researchers who want practical examples of creating conversational or tool-using agents that run on Hugging Face-hosted or local models. Key features: - Integration patterns showing how to call Hugging Face models from LangChain agents - Example agent types, prompt templates and chain compositions - Tool and memory usage examples for stateful interactions - Setup notes, dependencies and basic usage instructions for running and adapting the examples Use it as a hands-on starting point to prototype and extend LangChain+Hugging Face agent workflows.

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