← Use cases · Coding agents & IDE assistants
AI agent tools for mlx
Short answer: Our top pick for mlx: osaurus, with the highest AgentPick Score (80/100) among tools tagged "mlx". Runners-up: MTPLX (73) and vllm-mlx (71). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | osaurus | Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Ful… | 80/100 | ★ 8k | MIT | 14 Oct 2026 |
| #2 | MTPLX | The fastest way to run Qwen 3.8 Flash Next, Qwen 3.8 27B and Ternary Bonsai 2 27B on a Mac: 125 tok/s in OpenCode on an M5 Max, and a 27B model on 16 … | 73/100 | ★ 2.6k | Apache-2.0 | 10 Oct 2026 |
| #3 | vllm-mlx | High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool … | 71/100 | ★ 1.6k | Apache-2.0 | 12 Oct 2026 |
| #4 | vmlx | vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm | 67/100 | ★ 888 | Apache-2.0 | 14 Oct 2026 |
| #5 | llmman | Run any agent on any model, models stored as OCI images | 67/100 | ★ 551 | Apache-2.0 | 14 Oct 2026 |
| #6 | mlxstudio | MLX Studio - Easiest way to run LLM's on your Mac. All in one engine. | 61/100 | ★ 982 | See repo | 14 Oct 2026 |
| #7 | mlx-dspark | Up to 4× faster LLM decoding on Apple Silicon, lossless. Native MLX port of DeepSeek's DSpark & z-lab's DFlash speculative decoding — Gemma-4, Qwen3.8… | 60/100 | ★ 715 | MIT | 5 Oct 2026 |
| #8 | Spark-X2.5 | Spark-x2.5 open model series. Pushing the Limits of Agentic Capabilities in On-Device Models | 37/100 | ★ 794 | Apache-2.0 | 20 Sept 2026 |
| #9 | Klee | A native macOS AI chat app powered by MLX. 100% local inference on Apple Silicon, no cloud required. Built with ShipSwift. | 25/100 | ★ 1.8k | See repo | 20 Mar 2026 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Check which models and providers it supports.
- Prefer tools that show diffs and ask before running commands.
- Look for recent commits: coding agents change fast.
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