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LocalAI

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more. Features: Generate Text, MCP, Audio, Video, Images, Voice Cloning, Distributed, P2P and decentralized inference

Installation
Run this command in your terminal to add the MCP server to Claude Code.
Run in terminal:
Command
claude mcp add --transport stdio mudler-localai docker run -i localai/localai:latest

How to use

LocalAI is an open-source alternative to OpenAI's API, allowing users to run various AI models locally without the need for a GPU. It supports multiple model families and can generate text, images, and audio. Users can interact with LocalAI via a REST API that mimics OpenAI's specifications, making it easy to integrate into existing applications. The server provides endpoints for generating responses, managing models, and accessing various AI capabilities, all designed for local inferencing on consumer-grade hardware.

How to install

To install LocalAI, ensure you have Docker installed on your machine. Follow these steps:

  1. Pull the LocalAI Docker image:

    docker pull localai/localai:latest
    
  2. Run the LocalAI container:

    docker run -ti --name local-ai -p 8080:8080 localai/localai:latest
    
  3. Access the API at http://localhost:8080 to start using LocalAI.

Additional notes

Make sure to check the Docker documentation for any specific configurations related to your environment. If you encounter issues, refer to the FAQ section on the LocalAI website for troubleshooting tips. LocalAI does not require a GPU, but if you wish to use GPU capabilities, ensure you have the appropriate NVIDIA drivers and Docker setup.

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