Rapid-MLX
Apple Silicon local AI engine with OpenAI-compatible API, tool calling, prompt cache, and MLX acceleration.
Rapid-MLX overview
Rapid-MLX is an open-source local AI engine for Apple Silicon. It is positioned as a fast OpenAI-compatible replacement with MLX acceleration, tool calling support, prompt caching, reasoning separation, cloud routing, and compatibility with coding agents such as Claude Code, Cursor, and Aider.
Apple Silicon local inference
Rapid-MLX focuses on fast local inference on Apple Silicon using MLX.
Many developers run agents locally on Macs and need low-latency model serving.Agent-compatible API surface
The project advertises OpenAI compatibility and tool calling.
Agent clients can often switch local backends with less integration work.Prompt cache and routing
Rapid-MLX includes prompt caching and cloud routing in its project description.
A practical local engine needs performance controls and fallback paths, not only raw model loading.When to use Rapid-MLX
Local coding agents
Use Rapid-MLX as a local OpenAI-compatible endpoint for coding-agent workflows on Apple Silicon.
Tool-calling experiments
Evaluate local model behavior with tool parsers and agent clients.
Ollama alternative testing
Compare latency, compatibility, and tool-call fidelity against other local inference engines.
How it compares
Compare it with nearby models by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.
Questions
Is Rapid-MLX open source?
Yes. The GitHub repository is listed under the Apache-2.0 license.
Who should evaluate Rapid-MLX?
Apple Silicon users running local coding agents or OpenAI-compatible local model endpoints should evaluate it.