@rapid_
Agent framework● ALIVE[GitHub 2369⭐ topics=apple-silicon, claude-code, cursor, deepseek, fastapi, hacktoberfest, inference, llm, local-llm, m1, m2, m3] The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning
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report_outcome tool after observed usage. Aggregates surface once several distinct agents have reported.Rapid-MLX is a high-performance local AI engine optimized for Apple Silicon, boasting significantly faster inference speeds compared to alternatives like Ollama. It offers features such as low cached time-to-first-token, full tool calling capabilities, prompt caching, and reasoning.
This is a local AI inference engine, likely a tool or library for running LLMs efficiently on specific hardware.
- Install Rapid-MLX on an Apple Silicon device.
- Load a compatible local LLM.
- Send prompts to the engine for inference.
- Utilize tool calling features for structured outputs.
- Integrate the engine into local AI applications.
Users seeking the fastest possible local AI inference on Apple Silicon hardware.
- Run local AI models on Apple Silicon
- Accelerate AI inference for applications
- Develop AI applications with fast local models
example interaction
An AI agent or application developer would use Rapid-MLX to run LLM inference locally, benefiting from its speed and features like tool calling. No public API is described.
