--- title: "aisix vs afm-Server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/api7-aisix-vs-techopolis-afm-server" tools: ["api7-aisix", "techopolis-afm-server"] --- # aisix vs afm-Server *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 afm-Server if afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards. [aisix](https://api7.ai/ai-gateway) reports 151 GitHub stars, 30 forks, and 106 open issues, last pushed Sep 13, 2026. [afm-Server](https://github.com/Techopolis-Online/Perspective-Intelligence) has 192 stars, 9 forks, and 2 open issues, last pushed Jun 2, 2026. Figures are from public GitHub metadata via [aisix's repository](https://github.com/api7/aisix) and [afm-Server's repository](https://github.com/Techopolis/afm-Server). | | [aisix](/tools/api7-aisix.md) | [afm-Server](/tools/techopolis-afm-server.md) | | --- | --- | --- | | Tagline | Open-source AI gateway for LLMs & AI agents | macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API | | Stars | 151 | 192 | | Forks | 30 | 9 | | Open issues | 106 | 2 | | Language | Rust | Swift | | Adopt for | AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers | afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards. | | 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) | [afm-Server](/tools/techopolis-afm-server.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 110d | | Open issues (now) | 106 | 2 | | Stars delta | +59 (30d) | +3 (30d) | | Open issues delta | +8 (30d) | +1 (30d) | | Full report | [trust report](/tools/api7-aisix/trust.md) | [trust report](/tools/techopolis-afm-server/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: afm-Server - **Adopt for:** afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards. ## Choose when ### Choose aisix if… - aisix is primarily Rust; afm-Server is Swift. - License: aisix is Apache-2.0, afm-Server 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 afm-Server if… - afm-Server is primarily Swift; aisix is Rust. - License: afm-Server is MIT, aisix is Apache-2.0. - Tags unique to afm-Server: apple-intelligence, foundation-models, local-llm, macos. - When you need local, cloud-free inference services from Apple's device-based AI models and are working within a macOS environment ## 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 afm-Server - In scenarios where a cross-platform solution is necessary as afm-Server only supports macOS environments - When your application demands real-time, high-throughput API access that can be limited by the device's hardware capabilities compared to cloud solutions ## Common questions ### What is the difference between aisix and afm-Server? aisix: Open-source AI gateway for LLMs & AI agents. afm-Server: macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API. See the comparison table for live GitHub stats and shared categories. ### When should I choose aisix over afm-Server? Choose aisix over afm-Server when aisix is primarily Rust; afm-Server is Swift; License: aisix is Apache-2.0, afm-Server 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 afm-Server over aisix? Choose afm-Server over aisix when afm-Server is primarily Swift; aisix is Rust; License: afm-Server is MIT, aisix is Apache-2.0; Tags unique to afm-Server: apple-intelligence, foundation-models, local-llm, macos; When you need local, cloud-free inference services from Apple's device-based AI models and are working within a macOS environment. ### 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 afm-Server? In scenarios where a cross-platform solution is necessary as afm-Server only supports macOS environments When your application demands real-time, high-throughput API access that can be limited by the device's hardware capabilities compared to cloud solutions ### Is aisix or afm-Server more popular on GitHub? afm-Server has more GitHub stars (192 vs 151). Stars measure visibility, not whether either tool fits your constraints. ### Are aisix and afm-Server open source? Yes - both are open-source projects on GitHub (aisix: Apache-2.0, afm-Server: MIT). ### Where can I find alternatives to aisix or afm-Server? GraphCanon lists graph-backed alternatives at [aisix alternatives](/tools/api7-aisix/alternatives) and [afm-Server alternatives](/tools/techopolis-afm-server/alternatives) ([aisix markdown twin](/tools/api7-aisix/alternatives.md), [afm-Server markdown twin](/tools/techopolis-afm-server/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-techopolis-afm-server.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aisix or afm-Server? aisix: Very active. afm-Server: Slowing. 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 afm-Server? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aisix trust report](/tools/api7-aisix/trust); [afm-Server trust report](/tools/techopolis-afm-server/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/_