Claude Code + Ollama = FULLY FREE AI Coding FOREVER! (Tutorial)

2026-03-11 · Source: WorldofAI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, medium

Summary

This content details a method for integrating Anthropic's Claude Code, an AI coding agent, with Ollama to enable local execution of open-source large language models (LLMs) for free. By leveraging Ollama's Anthropic API compatibility, users can run models like Quen 3.5 27B or GLM 4.7 directly within Claude Code on their local machines. This setup allows access to Claude Code's agentic capabilities, including scheduled prompts, sub-agents, parallel task execution, and built-in web search, powered by local open-source models. The process involves installing Ollama and Claude Code, configuring environment variables to connect Ollama as the Anthropic API endpoint, and then installing a desired open-source model (e.g., Quen 3.5 27B, which is 17 GB) via Ollama. System requirements, particularly GPU VRAM (e.g., Nvidia GeForce RTX 4090 for Quen 3.5 27B), are crucial for optimal performance and context window size.

Key takeaway

For AI Engineers and developers seeking to utilize advanced agentic coding environments without incurring API costs, integrating Claude Code with Ollama offers a compelling solution. You can run powerful open-source LLMs like Quen 3.5 27B locally, gaining full access to Claude Code's features for tasks like code exploration and automated research. Ensure your system meets the GPU VRAM requirements for your chosen model to maintain performance and context window size.

Key insights

Integrate Claude Code with Ollama to run open-source LLMs locally, leveraging agentic capabilities for free.

Principles

• Local execution enhances privacy and control.
• API compatibility enables tool interoperability.

Method

Install Ollama and Claude Code, configure environment variables to route Claude Code's Anthropic API calls to a local Ollama server, then install and run open-source models via Ollama within Claude Code.

In practice

• Use Quen 3.5 27B or GLM 4.7 for local coding.
• Check GPU VRAM for model compatibility.
• Develop landing pages with local agentic AI.

Topics

• Claude Code
• Ollama
• Open-source LLMs
• Local AI Development
• Agentic AI

Best for: AI Engineer, Machine Learning Engineer, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by WorldofAI.