How to Run Unlimited Claude Code for Free on Your Computer (3 Easy Methods) |
- WordPress SEO Settings (Yoast / RankMath)
| Post Title | How to Run Unlimited Claude Code for Free on Your Computer (3 Easy Methods) |
| URL Slug | run-unlimited-claude-code-for-free |
| Focus Keyword | Run Claude Code for Free |
| Meta Description (EN) | Learn how to run Claude Code completely free on your local computer without monthly subscriptions or usage limits using Ollama, Free LLM API, and Open Code. |
| Meta Description (HI) | जानिए कैसे आप Claude Code को बिना किसी मासिक शुल्क या लिमिट के अपने कंप्यूटर पर बिल्कुल फ्री में चला सकते हैं। Ollama, Free LLM API और Open Code का पूरा ट्यूटोरियल। |
| Categories | AI Tools, Coding & Development, Tech Tutorials |
| Tags | Claude Code, Ollama, Free AI Coding Agent, Local LLM, Open Code, AI Programming |
| Source Video URL |
- Complete WordPress Post
Claude Code is widely considered one of the most powerful coding agents in the world. However, its biggest drawback is the cost. You pay a steep monthly subscription, and the moment you hit your usage limit right in the middle of a task, it simply stops working—forcing you to either pay more or wait for your limit to reset.
The good news is that you can now run the actual Claude Code completely free using AI models that live directly on your machine or through stacked free API tiers. This isn’t a knockoff; it is the exact same Claude Code tool pointed at a free AI brain. In this guide, we will walk you through three simple ways to set up and run unlimited Claude Code for zero dollars.
How This Works: Separating the Brain from the Tool
To understand how this setup works, it helps to know that Claude Code is actually two separate components combined into one:
- The Brain (The AI Model): This is the Anthropic model family (like Claude Opus or Sonnet) that does the actual thinking and code generation.
- The Tool (The Agent Harness): This is the application wrapper that interacts with your files, terminal, and coding environment.
When you pay Anthropic, you are paying for the brain, not the tool. Because the tool can run on whatever brain you point it at, you can keep the Claude Code interface exactly as it is and connect it to a local model running on your own computer for free.
Method 1: Run Claude Code Locally via Ollama (100% Free & Private)
The easiest way to run Claude Code locally is by using Ollama. It allows you to run open-source AI models right on your desktop and now connects directly with Claude Code with nothing in between.
- Step 1 — Install Ollama: Head over to the official Ollama website and click Get Started. Copy the installation command for your OS (macOS, Windows, or Linux) or download the standalone desktop application.
- Step 2 — Download a Model Based on Your Computer’s RAM: Once Ollama is running, download a local model based on how much system memory (RAM) your computer has:
| System RAM | Recommended Local Model | Experience Level |
| 8GB – 16GB RAM | Gemma 4 12B | Great for standard laptops and everyday coding tasks |
| 18GB – 32GB RAM | Qwen 3 Coder | Optimized specifically for programming and agent workflows |
| 64GB+ RAM | GPT OSS 120 | Feels very close to paid flagship cloud models |
| Important Note for Mac Users (Unified Memory): On Apple Silicon MacBooks, memory is unified and shared across your entire system. Always pick a model that uses roughly half of your total RAM. For example, if your Mac has 18GB of RAM, aim for a ~9GB model like Gemma 4 12B. |
- Step 3 — Point Claude Code at Your Local Model: Open the Ollama app and click on the Apps tab. You can connect it directly to the Claude Code desktop app or click ‘Claude Code in other apps’ to copy the terminal launch command:
| ollama launch claude |
Select the local model you installed (e.g., Gemma 4 12B), and Claude Code will immediately boot up running locally on your machine. Keep in mind that smaller local models take slightly longer to process prompts than cloud servers, but your code remains 100% private and completely free.
Method 2: Use Free LLM API (More Model Choices & Cloud Speed)
If your computer doesn’t have enough RAM to run local models smoothly, or if you care more about speed and model variety than strict local privacy, you can use Free LLM API. Instead of using your hardware, this tool stacks the free API tiers offered by major AI labs (like Google AI Studio, Groq, and Mistral) behind a single endpoint and points Claude Code at them.
- Install Docker: Download and install Docker Desktop for your operating system and launch the application.
- Run the Free LLM API Container: Open the terminal inside the Docker app, paste the installation command from the Free LLM API repository, and let it install.
- Get Your Setup Code: Open the localhost dashboard link provided in the terminal. Run ‘docker ps’ in your terminal, grab your container name, and run the log command to retrieve your one-time setup code.
- Add Free Provider Keys: Inside the dashboard, go to Keys > Add Key. Choose a free provider like Google AI Studio, Groq, or Mistral, generate a free API key, paste it into the dashboard, and click Save.
- Connect to Claude Code: Copy your Unified API Key from the dashboard’s Keys section, open your main system terminal, and run:
| npx free-llm-api setup claude |
Troubleshooting Tip: If you get a connection error, make sure the command points to the exact localhost port your Docker dashboard is using (such as localhost:3001 instead of 3000). Paste your Unified API Key when prompted, hit Enter, and then run ‘claude’ in your terminal.
Method 3: Switch to Open Code (The Easiest Zero-Setup Alternative)
If you want to skip all the terminal configurations and Docker setups entirely, the easiest alternative is Open Code.
- What It Is: Open Code is a free, open-source coding agent designed from day one to run on any AI model you want.
- Why Use It: While it isn’t the official Claude Code app, it functions almost identically and removes all the setup headaches.
- Built-In Free Models: Simply download the installer from the Open Code website for your OS, launch it, and you immediately get access to several free coding models right out of the box—capable of one-shotting clean applications in seconds.
Summary: Which Free Method Should You Choose?
- Choose Ollama: If you want 100% privacy, offline capability, and full control over the official Claude Code tool using your own hardware.
- Choose Free LLM API: If you want to use the official Claude Code interface with faster speeds and larger models, and don’t mind routing prompts through free cloud providers.
- Choose Open Code: If you just want a powerful, free AI coding agent that works out of the box with zero technical setup.