Building Local AI Agents with DeepSeek-R1, Ollama, Pydantic and LangGraph for Reddit Analysis

Build a fully local AI agent workflow for analyzing Reddit posts using LangGraph's functional API, Pydantic, and Streamlit UI in this comprehensive tutorial video. Master the implementation of human-in-the-loop functionality and custom agent tools that run entirely on your local machine. Follow along with the step-by-step development process, starting from basic project setup and dependencies through to creating LLM models with Ollama and Groq API, designing domain data classes, and implementing the complete LangGraph workflow. Explore the creation of specialized agents for post fetching, filtering, analysis, and report writing, while learning to integrate custom document search tools. Conclude with building an interactive Streamlit interface and testing the complete system on r/singularity posts. Perfect for developers interested in building sophisticated AI workflows with modern tools like DeepSeek-R1, Qwen2.5, and LangChain.