Apr 7
Loading video player...
Build a local AI agent from scratch — all free tools. Connect LangChain to a local model via LM Studio, build a multi-step workflow with LangGraph, and trace every decision in LangSmith. The agent reviews Python code, rates its own confidence, retries if needed, and delivers a full code review. Every node, every prompt, every token — completely visible. No API costs. Runs 100% locally. Timestamps: 00:00 - Intro 1:13 — Deep dive into the agent layer 1:50 — What are LangChain, LangGraph, LangSmith 3:02 — Architecture: How everything connects 4:23 — Agent flow /Project setup 5:53 — Agent flow: Nodes, decisions, loops 11:30 — Code walkthrough 08:15 — Run the agent 08:48 — LangSmith deep dive 12:30 — Comparison with Claude Code Build Your Own Local AI Agent | LangGraph + LangSmith + LM Studio (Free) #LangGraph #LangSmith #LangChain #LocalAI #AIAgent #LMStudio #FreeAI #Python #BuildYourOwnAgent #AIObservability langgraph tutorial, langsmith tutorial, langchain tutorial, local ai agent, build ai agent, lm studio, ai agent from scratch, langgraph langsmith, ai code review, local llm, free ai tools, ai observability, langsmith tracing, python ai agent, qwen local model, ai agent workflow, langchain local model, build your own agent, langgraph python, ai agent 2026 ━━━━━━━━━━━━━━━━━━━━━━━━━━ 💬 COMMUNITY Questions? Drop them in the comments! Connect with me: 💼 LinkedIn: https://www.linkedin.com/in/hadeek/ 💻 GitHub: [github.com/network-tocoder](http://github.com/network-tocoder) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 SUBSCRIBE New videos weekly! → Subscribe & enable notifications 🔔 → Star the GitHub repo ⭐