--- title: "aisix vs mlx-serve" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/api7-aisix-vs-ddalcu-mlx-serve" tools: ["api7-aisix", "ddalcu-mlx-serve"] --- # aisix vs mlx-serve *GraphCanon updated Sep 20, 2026* ## Verdict Pick aisix if aISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers; pick mlx-serve if focused on supporting Apple Silicon-powered macOS devices, mlx-serve provides a native and API-compatible inference service without requiring Python. [aisix](https://api7.ai/ai-gateway) reports 151 GitHub stars, 30 forks, and 106 open issues, last pushed Sep 13, 2026. [mlx-serve](http://mlxserve.com/) has 1.4k stars, 130 forks, and 54 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [aisix's repository](https://github.com/api7/aisix) and [mlx-serve's repository](https://github.com/ddalcu/mlx-serve). | | [aisix](/tools/api7-aisix.md) | [mlx-serve](/tools/ddalcu-mlx-serve.md) | | --- | --- | --- | | Tagline | Open-source AI gateway for LLMs & AI agents | Native LLM inference server for Apple Silicon | | Stars | 151 | 1,418 | | Forks | 30 | 130 | | Open issues | 106 | 54 | | Language | Rust | Zig | | Adopt for | AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers | Focused on supporting Apple Silicon-powered macOS devices, mlx-serve provides a native and API-compatible inference service without requiring Python. | | Persona | - | - | | Runtime | - | - | | License | AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution | MIT | | Categories | AI Agents, Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aisix](/tools/api7-aisix.md) | [mlx-serve](/tools/ddalcu-mlx-serve.md) | | --- | --- | --- | | Open issues (now) | 106 | 54 | | Stars delta | +59 (30d) | +1.1k (30d) | | Open issues delta | +8 (30d) | +51 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/api7-aisix/trust.md) | [trust report](/tools/ddalcu-mlx-serve/trust.md) | ## Decision facts: aisix - **Pricing:** freemium - The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model. - **Requirements:** Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files - **Adopt for:** AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers - **License detail:** AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution ## Decision facts: mlx-serve - **Requirements:** Requires Apple Silicon-powered macOS devices to ensure optimal performance and compatibility. - **Adopt for:** Focused on supporting Apple Silicon-powered macOS devices, mlx-serve provides a native and API-compatible inference service without requiring Python. ## Choose when ### Choose aisix if… - aisix is primarily Rust; mlx-serve is Zig. - License: aisix is Apache-2.0, mlx-serve is MIT. - Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.. - Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files. - Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible. - Also covers AI Agents. - aisix ships Docker support for self-hosted deployment. - When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock ### Choose mlx-serve if… - mlx-serve is primarily Zig; aisix is Rust. - License: mlx-serve is MIT, aisix is Apache-2.0. - Requirements: Requires Apple Silicon-powered macOS devices to ensure optimal performance and compatibility.. - Tags unique to mlx-serve: agent, anthropic-api, apple-silicon, deepseek-v4. - Use when your project requires running large language model (LLM) inferencing natively on Apple Silicon hardware. ## When NOT to use aisix - If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features - For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary ## When NOT to use mlx-serve - Avoid if your infrastructure does not include devices with Apple Silicon chips, as it is specifically optimized for this architecture. - Do not use if you require cross-platform compatibility as mlx-serve targets macOS exclusively. - This tool might not be suitable if Python integration is crucial in your project. ## Common questions ### What is the difference between aisix and mlx-serve? aisix: Open-source AI gateway for LLMs & AI agents. mlx-serve: Native LLM inference server for Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose aisix over mlx-serve? Choose aisix over mlx-serve when aisix is primarily Rust; mlx-serve is Zig; License: aisix is Apache-2.0, mlx-serve is MIT; Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.; Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files; Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible; Also covers AI Agents; aisix ships Docker support for self-hosted deployment; When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock. ### When should I choose mlx-serve over aisix? Choose mlx-serve over aisix when mlx-serve is primarily Zig; aisix is Rust; License: mlx-serve is MIT, aisix is Apache-2.0; Requirements: Requires Apple Silicon-powered macOS devices to ensure optimal performance and compatibility.; Tags unique to mlx-serve: agent, anthropic-api, apple-silicon, deepseek-v4; Use when your project requires running large language model (LLM) inferencing natively on Apple Silicon hardware. ### When should I avoid aisix? If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary ### When should I avoid mlx-serve? Avoid if your infrastructure does not include devices with Apple Silicon chips, as it is specifically optimized for this architecture. Do not use if you require cross-platform compatibility as mlx-serve targets macOS exclusively. This tool might not be suitable if Python integration is crucial in your project. ### Is aisix or mlx-serve more popular on GitHub? mlx-serve has more GitHub stars (1,418 vs 151). Stars measure visibility, not whether either tool fits your constraints. ### Are aisix and mlx-serve open source? Yes - both are open-source projects on GitHub (aisix: Apache-2.0, mlx-serve: MIT). ### Where can I find alternatives to aisix or mlx-serve? GraphCanon lists graph-backed alternatives at [aisix alternatives](/tools/api7-aisix/alternatives) and [mlx-serve alternatives](/tools/ddalcu-mlx-serve/alternatives) ([aisix markdown twin](/tools/api7-aisix/alternatives.md), [mlx-serve markdown twin](/tools/ddalcu-mlx-serve/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/api7-aisix-vs-ddalcu-mlx-serve.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aisix or mlx-serve? aisix: Very active. mlx-serve: 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 aisix and mlx-serve? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aisix trust report](/tools/api7-aisix/trust); [mlx-serve trust report](/tools/ddalcu-mlx-serve/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=api7-aisix`](/api/graphcanon/graph?tool=api7-aisix) - 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/_