free-claude-code is an Anthropic-compatible proxy for Claude Code.

Its idea is not to crack Claude Code, nor to provide an official free Claude service. Instead, it starts a local proxy service that looks like an Anthropic API, then forwards requests from Claude Code to other model backends. The README mentions backends such as NVIDIA NIM, OpenRouter, DeepSeek, LM Studio, llama.cpp, and Ollama.

In simple terms, it solves this problem: you like the terminal experience of Claude Code, but want to send model requests to another provider or a local model.

What Problem It Solves

Claude Code has an interaction model that works well for development tasks.

It can read code, edit files, run commands, and move tasks forward based on project context inside the terminal. But many users may not always want to use the same model backend:

• They want to try different models on OpenRouter
• They want to use models such as DeepSeek to reduce cost
• They want to route requests to local Ollama
• They want to run local models through LM Studio or llama.cpp
• They want one proxy entry point in the development environment
• They want to compare different models inside the Claude Code workflow

free-claude-code is positioned as a compatibility layer between Claude Code and these model services.

Claude Code still sends requests in an Anthropic-like style, while the proxy adapts those requests to different backends.

How It Works

You can think of it as three layers:

1. The frontend is Claude Code
2. The middle layer is the free-claude-code proxy
3. The backend is OpenRouter, DeepSeek, a local model, or another model service

Claude Code believes it is accessing an Anthropic-compatible API.

After the proxy receives a request, it selects a target provider according to configuration, transforms the necessary fields, and returns the response to Claude Code.

The benefit of this structure is that you do not need to modify Claude Code itself, and you do not need every model service to natively support Claude Code. As long as the proxy can align the interfaces, more models can be connected to the same workflow.

Supported Backends

The README lists these directions:

• NVIDIA NIM
• OpenRouter
• DeepSeek
• LM Studio
• llama.cpp
• Ollama

These backends represent different usage styles.

OpenRouter is more like a model aggregation entry point, useful for testing different commercial and open-source models.

DeepSeek is suitable for people who care about Chinese ability, coding ability, and cost.

LM Studio, llama.cpp, and Ollama are more local-model oriented. They are suitable for running models on your own machine or inside an intranet, reducing dependence on external APIs and making offline experiments easier.

NVIDIA NIM is more oriented toward enterprise and GPU inference deployment scenarios.

Why an Anthropic-Compatible Proxy

Claude Code was originally designed around Anthropic interfaces and model conventions.

If you want to connect it to other models, the most direct problem is interface mismatch:

• Request fields differ
• Model names differ
• Streaming formats differ
• Tool use is represented differently
• Error response formats differ
• Token and context limits differ

This is where the proxy layer is useful.

It keeps the interface seen by Claude Code close to the Anthropic shape, then adapts to the backend. For users, after configuring the proxy once, they can test different models inside the same Claude Code workflow.

Suitable Scenarios

free-claude-code is suitable for:

• Using the Claude Code terminal workflow
• Testing non-Anthropic models in Claude Code
• Reducing model calling costs
• Connecting Claude Code to OpenRouter
• Connecting to compatible model services such as DeepSeek
• Running local models through Ollama, LM Studio, or llama.cpp
• Giving a team one unified model proxy entry point

If you only use official Claude Code normally and have no special needs around providers, cost, or local deployment, you may not need this type of proxy.

But if you often compare models, or want Claude Code to connect to local and third-party models, this type of tool is useful.

Difference from Directly Using OpenRouter or Ollama

Using OpenRouter, Ollama, or LM Studio directly usually means chatting with a model or calling it through an API.

The point of free-claude-code is not to replace those services, but to connect them to the Claude Code development workflow.

The difference is:

• You still use the Claude Code terminal experience
• AI can execute tasks around a code repository
• The model backend can be changed to another provider
• Local models can enter the Claude Code workflow
• Configuration is centralized in the proxy layer instead of changed in each tool

So it is more like a bridge than a new chat client.

Notes About Local Models

Connecting Claude Code to local models is attractive, but there are real limitations.

First, model capability differs.

Claude Code tasks are usually not just chat. They include understanding code, planning modifications, editing files, and handling command output. Smaller local models may not complete these tasks reliably.

Second, context window matters.

Code tasks need a lot of context. If the model context is too small, it may fail to read full files, miss constraints, or lose background across multi-turn tasks.

Third, tool use compatibility matters.

Claude Code workflows depend on tool calls and structured behavior. Even if a backend model can chat, it may not follow tool-use protocols well.

Fourth, speed and hardware matter.

Local model speed depends on machine configuration, quantization, and model size. If code tasks respond too slowly, the experience drops noticeably.

So local models are better for experiments, low-risk tasks, and specific scenarios. For truly complex coding tasks, choose carefully according to model capability.

Usage Boundaries

Projects like this are easy to misunderstand from the title, so the boundaries should be clear.

First, it is not an official free Claude Code quota.

It only forwards Claude Code requests to other model backends. When using OpenRouter, DeepSeek, NVIDIA NIM, or other APIs, you still need to follow the pricing, quotas, and terms of the corresponding services.

Second, it is not a tool for bypassing authorization.

When using any proxy tool, you should follow the licenses and terms of Claude Code, model providers, and the project itself. Do not interpret it as a way to avoid official restrictions.

Third, the proxy handles your request content.

Code, command output, and project context may pass through the proxy and backend services. When deploying, consider logs, keys, network boundaries, and privacy. For company code or sensitive projects, use a controlled environment.

Fourth, model performance varies greatly.

The same Claude Code operation may behave very differently after switching models. Do not assume every model can replace Claude.

Relationship with Proxies Such as LiteLLM

Conceptually, free-claude-code belongs to the category of compatible interface proxies.

The shared goal of such tools is to reduce coupling between upper-level applications and lower-level model services. The upper-level application faces a relatively unified interface, while backend providers can be switched by configuration.

Different projects focus on different areas. Some are general model gateways, some focus on OpenAI-compatible APIs, and some specifically adapt tools such as Claude Code.

What makes free-claude-code worth noting is that it puts Claude Code directly at the center, rather than building a generic chat proxy.

Suitable Users

It is better suited to users who are comfortable tinkering:

• Familiar with Claude Code
• Know how to configure API keys and model providers
• Understand proxy service startup and environment variables
• Can troubleshoot network, port, model name, and streaming issues
• Want to compare different models on coding tasks

If you only want something that works out of the box, the official configuration is usually simpler.

If you are willing to set up a proxy, switch models, tune parameters, and let Claude Code enter more model environments, this project is worth studying.

Reference

• Alishahryar1/free-claude-code

Final Thought

The value of free-claude-code is not in the word “free,” but in the bridge it builds between Claude Code and more model backends.

When you want to keep the Claude Code development experience while testing OpenRouter, DeepSeek, local models, or enterprise inference services, an Anthropic-compatible proxy like this becomes useful.