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Run Claude Code 100% locally using Ollama — no cloud, no API keys, no token limits. In this video, I show you how to run Claude Code 100% locally using Ollama! 🚀 This new update allows you to use open-source models (like GPT-OSS, Qwen, etc.) directly in your terminal without relying on the Anthropic API. I’ll walk you through the entire setup process, from installing the necessary tools to configuring your environment variables. We also put it to the test on real hardware to see how local models perform compared to the cloud versions. Key Topics Covered: How to configure Claude Code to talk to your local Ollama server. Which environment variables do you need to set (ANTHROPIC_BASE_URL, etc.)? Real-world testing: Is local hardware (32GB RAM/8GB VRAM) enough? What to do if your computer is too slow to run big models locally. Timestamps: [00:00] Intro: Claude Code now supports local Ollama models [00:26] Step 1: Install Claude Code & Set Environment Variables [00:49] Step 2: Install Ollama & Download Models [01:41] Step 3: Launching Claude Code with a Local Model [02:03] Hardware Requirements & Performance Warning [02:32] Testing Smaller Models (Gemma 1B) [03:14] Alternative: Using Ollama Cloud Models for Speed [04:05] Conclusion The full tutorial: https://proflead.dev/posts/claude-cod... #ollama #claudecode #aicoding #claude