--- title: "maid vs vllm-mlx" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mobile-artificial-intelligence-maid-vs-waybarrios-vllm-mlx" tools: ["mobile-artificial-intelligence-maid", "waybarrios-vllm-mlx"] --- # maid vs vllm-mlx *GraphCanon updated Sep 20, 2026* ## Verdict Pick maid if maid is an open-source app for interacting with both local llama.cpp models and remote LLMs like Anthropic and OpenAI via mobile platforms; pick vllm-mlx if vllm-mlx is an open-source inference server that runs large language models and vision-language models on Apple Silicon devices with continuous batching and multimodal support using native MLX backend. [maid](https://github.com/Mobile-Artificial-Intelligence/maid) reports 2.7k GitHub stars, 289 forks, and 12 open issues, last pushed Sep 14, 2026. [vllm-mlx](https://vllm-mlx.is-a.dev/) has 1.6k stars, 222 forks, and 121 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [maid's repository](https://github.com/Mobile-Artificial-Intelligence/maid) and [vllm-mlx's repository](https://github.com/waybarrios/vllm-mlx). | | [maid](/tools/mobile-artificial-intelligence-maid.md) | [vllm-mlx](/tools/waybarrios-vllm-mlx.md) | | --- | --- | --- | | Tagline | Maid is an open-source app for interfacing with various LLM models both locally and remotely, supporting platforms such as Android. | Server for LLMs and vision-language models compatible with Apple Silicon | | Stars | 2,695 | 1,588 | | Forks | 289 | 222 | | Open issues | 12 | 121 | | Language | TypeScript | Python | | Adopt for | Maid is an open-source app for interacting with both local llama.cpp models and remote LLMs like Anthropic and OpenAI via mobile platforms. | vllm-mlx is an open-source inference server that runs large language models and vision-language models on Apple Silicon devices with continuous batching and multimodal support using native MLX backend. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [maid](/tools/mobile-artificial-intelligence-maid.md) | [vllm-mlx](/tools/waybarrios-vllm-mlx.md) | | --- | --- | --- | | Days since push | 6d | 0d | | Open issues (now) | 12 | 121 | | Stars delta | +63 (30d) | +116 (30d) | | Open issues delta | +2 (30d) | +35 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mobile-artificial-intelligence-maid/trust.md) | [trust report](/tools/waybarrios-vllm-mlx/trust.md) | ## Decision facts: maid - **Adopt for:** Maid is an open-source app for interacting with both local llama.cpp models and remote LLMs like Anthropic and OpenAI via mobile platforms. ## Decision facts: vllm-mlx - **Adopt for:** vllm-mlx is an open-source inference server that runs large language models and vision-language models on Apple Silicon devices with continuous batching and multimodal support using native MLX backend. ## Choose when ### Choose maid if… - maid is primarily TypeScript; vllm-mlx is Python. - License: maid is MIT, vllm-mlx is Apache-2.0. - Tags unique to maid: android, chatbot, deepseek, llama-cpp. - Also covers LLM Frameworks. - Need to interface with diversified language models on Android devices. ### Choose vllm-mlx if… - vllm-mlx is primarily Python; maid is TypeScript. - License: vllm-mlx is Apache-2.0, maid is MIT. - Tags unique to vllm-mlx: apple-silicon, audio-processing, claude-code, computer-vision. - Also covers Model Training. - If you need to run LLMs or vision-language models like Llama, Qwen-VL, and LLaVA efficiently on Apple Silicon devices. ## When NOT to use maid - Require a native app for another operating system beyond Android. - Demand exclusive remote or local model capabilities, not both. ## When NOT to use vllm-mlx - If your target environment is not an Apple device equipped with the required hardware to run models via MLX backend. - When seeking a solution that offers high-speed token throughput beyond 400 tok/s as vllm-mlx may not be adequate for such performance needs. ## Common questions ### What is the difference between maid and vllm-mlx? maid: Maid is an open-source app for interfacing with various LLM models both locally and remotely, supporting platforms such as Android.. vllm-mlx: Server for LLMs and vision-language models compatible with Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose maid over vllm-mlx? Choose maid over vllm-mlx when maid is primarily TypeScript; vllm-mlx is Python; License: maid is MIT, vllm-mlx is Apache-2.0; Tags unique to maid: android, chatbot, deepseek, llama-cpp; Also covers LLM Frameworks; Need to interface with diversified language models on Android devices. ### When should I choose vllm-mlx over maid? Choose vllm-mlx over maid when vllm-mlx is primarily Python; maid is TypeScript; License: vllm-mlx is Apache-2.0, maid is MIT; Tags unique to vllm-mlx: apple-silicon, audio-processing, claude-code, computer-vision; Also covers Model Training; If you need to run LLMs or vision-language models like Llama, Qwen-VL, and LLaVA efficiently on Apple Silicon devices. ### When should I avoid maid? Require a native app for another operating system beyond Android. Demand exclusive remote or local model capabilities, not both. ### When should I avoid vllm-mlx? If your target environment is not an Apple device equipped with the required hardware to run models via MLX backend. When seeking a solution that offers high-speed token throughput beyond 400 tok/s as vllm-mlx may not be adequate for such performance needs. ### Is maid or vllm-mlx more popular on GitHub? maid has more GitHub stars (2,695 vs 1,588). Stars measure visibility, not whether either tool fits your constraints. ### Are maid and vllm-mlx open source? Yes - both are open-source projects on GitHub (maid: MIT, vllm-mlx: Apache-2.0). ### Where can I find alternatives to maid or vllm-mlx? GraphCanon lists graph-backed alternatives at [maid alternatives](/tools/mobile-artificial-intelligence-maid/alternatives) and [vllm-mlx alternatives](/tools/waybarrios-vllm-mlx/alternatives) ([maid markdown twin](/tools/mobile-artificial-intelligence-maid/alternatives.md), [vllm-mlx markdown twin](/tools/waybarrios-vllm-mlx/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/mobile-artificial-intelligence-maid-vs-waybarrios-vllm-mlx.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, maid or vllm-mlx? maid: Very active. vllm-mlx: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for maid and vllm-mlx? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [maid trust report](/tools/mobile-artificial-intelligence-maid/trust); [vllm-mlx trust report](/tools/waybarrios-vllm-mlx/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mobile-artificial-intelligence-maid`](/api/graphcanon/graph?tool=mobile-artificial-intelligence-maid) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_