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Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
A lightweight LiteLLM server boilerplate pre-configured with uv and Docker for hosting your own OpenAI- and Anthropic-compatible endpoints. Includes LibreChat as an optional web UI.
A complete, menu-driven AI model interface for Windows that simplifies running local GGUF language models with llama.cpp. This tool automatically manages dependencies, provides multiple interaction modes, and prioritizes user privacy through fully offline operation.
A flexible FastAPI-based framework for handling AI tasks using Large Language Models (LLMs). Supports multiple providers, extensible tasks and routers, Redis caching, and OpenAI integration. Easily scalable for various LLM-based applications.
OpenAI-compatible local inference server for Apple Silicon using MLX. FastAPI server with Chat Completions and Responses APIs, multi-turn conversations, and streaming support.
Headless CLI for managing local MLX language-model HTTP servers on Apple Silicon Macs. Supports model discovery, server lifecycle management, performance benchmarking, and provider integration with OpenCode, Claude Code, and LiteLLM.