GitHub - numman-ali/cc-mirror: Create multiple isolated Claude Code variants with custom providers (Z.ai, MiniMax, OpenRouter, LiteLLM)

GitHub - numman-ali/cc-mirror: Create multiple isolated Claude Code variants with custom providers (Z.ai, MiniMax, OpenRouter, LiteLLM)

Create multiple isolated Claude Code variants with custom providers (Z.ai, MiniMax, OpenRouter, LiteLLM) - numman-ali/cc-mirror

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GitHub - numman-ali/cc-mirror: Create multiple isolated Claude Code variants with custom providers (Z.ai, MiniMax, OpenRouter, LiteLLM)

GitHub - numman-ali/cc-mirror: Create Multiple Isolated Claude Code Variants

GitHub - numman-ali/cc-mirror is a powerful tool designed for creating multiple isolated variants of Claude Code with custom providers. This GitHub repository allows developers to customize and extend Claude Code beyond its default configuration, supporting a variety of AI models.

What the Repository Includes

This repository provides an innovative solution for running Claude Code with multiple AI providers, including Z.ai, MiniMax, OpenRouter, and LiteLLM. Developers can isolate and switch between these models, allowing for more flexibility and control in their AI applications.

Extending Claude Code Capabilities

By using cc-mirror, developers can expand Claude Code’s functionality. With support for custom providers, the repository allows users to fine-tune their setups for specific tasks. This flexibility makes it possible to integrate Claude Code with different models, opening up new possibilities for developers working with diverse AI systems.

Practical Use in Daily Development

The cc-mirror repository is ideal for developers who want to leverage Claude Code in a modular, flexible environment. It enables users to experiment with different providers without the need to rebuild their entire infrastructure. The ability to seamlessly integrate custom AI providers improves productivity and workflow efficiency.

Who This Repository Is For

This repository is perfect for developers, data scientists, and AI researchers working with Claude Code. It is particularly useful for teams needing access to multiple AI models, and those looking to integrate new models with their existing codebase.

Why It Matters

cc-mirror makes it easier to integrate Claude Code with a wide range of AI models, thus enhancing its versatility. Instead of being limited to a single provider, developers can now use multiple models and switch between them based on their specific needs, making it an invaluable resource for anyone working with Claude Code.

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