Claude Code Local Gateway - CCLG

Local Claude Code, also known as CCLG, is a script that lets you use different Large Language Models (LLMs) with the Claude Code tool. Normally, Claude Code only works with the Anthropic API. But with CCLG, you can connect it to models you run on your own computer, use models from other companies' APIs, or connect to servers where models are hosted. This means you can still use Claude Code's helpful features like its command-line interface, ways to manage conversations, and connections to code editors, but with a wider range of AI models.

Benefits

The main advantage of using Local Claude Code is how easy it is to set up. You don't need to figure out complicated settings yourself. The installer asks you for simple details like the address of your AI model server, an API key if needed, and the name of the model you want to use. It then automatically creates the right setup file and a simple command you can type to start using your chosen AI model with Claude Code. This saves you time and avoids confusion.

Use Cases

Local Claude Code is useful for anyone who wants to use Claude Code's interface with AI models other than Anthropic's. This includes developers who want to experiment with different local LLMs for coding assistance, researchers testing various models, or users who prefer to keep their AI processing on their own hardware. It works with any server that offers an OpenAI-compatible connection, such as LM Studio or other remote API services.

Vibes

This project is open for anyone to contribute to by suggesting improvements or submitting code changes. It was created by Marco Martinelli.

Additional Information

Local Claude Code works by creating a special configuration file that tells Claude Code to send its requests to your chosen AI model server instead of the default one. This makes it simple to switch between different AI models. While it offers flexibility, the results from local or third-party models might not be the same as those from Anthropic's original Claude models, as Claude Code was originally built for those specific models. However, using CCLG provides a practical way to explore Claude Code's capabilities with a variety of LLMs.