--- title: "ai-gateway vs afm-Server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-techopolis-afm-server" tools: ["ferro-labs-ai-gateway", "techopolis-afm-server"] --- # ai-gateway vs afm-Server *GraphCanon updated Sep 20, 2026* ## Verdict Pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment; 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. [ai-gateway](https://docs.ferrolabs.ai) reports 256 GitHub stars, 35 forks, and 68 open issues, last pushed Sep 10, 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 [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [afm-Server's repository](https://github.com/Techopolis/afm-Server). | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [afm-Server](/tools/techopolis-afm-server.md) | | --- | --- | --- | | Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API | | Stars | 256 | 192 | | Forks | 35 | 9 | | Open issues | 68 | 2 | | Language | Go | Swift | | Adopt for | ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. | 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 | Apache-2.0 - a permissive free software license | MIT | | Categories | Inference & Serving, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [afm-Server](/tools/techopolis-afm-server.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 110d | | Open issues (now) | 68 | 2 | | Stars delta | +37 (30d) | +3 (30d) | | Open issues delta | +5 (30d) | +1 (30d) | | Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/techopolis-afm-server/trust.md) | ## Decision facts: ai-gateway - **Adopt for:** ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. - **License detail:** Apache-2.0 - a permissive free software license ## 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 ai-gateway if… - ai-gateway is primarily Go; afm-Server is Swift. - License: ai-gateway is Apache-2.0, afm-Server is MIT. - Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy. - Also covers Model Training. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ### Choose afm-Server if… - afm-Server is primarily Swift; ai-gateway is Go. - License: afm-Server is MIT, ai-gateway 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 ai-gateway - If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features - For small-scale projects that do not require comprehensive cost analysis tools - When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ## 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 ai-gateway and afm-Server? ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. 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 ai-gateway over afm-Server? Choose ai-gateway over afm-Server when ai-gateway is primarily Go; afm-Server is Swift; License: ai-gateway is Apache-2.0, afm-Server is MIT; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I choose afm-Server over ai-gateway? Choose afm-Server over ai-gateway when afm-Server is primarily Swift; ai-gateway is Go; License: afm-Server is MIT, ai-gateway 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 ai-gateway? If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ### 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 ai-gateway or afm-Server more popular on GitHub? ai-gateway has more GitHub stars (256 vs 192). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-gateway and afm-Server open source? Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, afm-Server: MIT). ### Where can I find alternatives to ai-gateway or afm-Server? GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [afm-Server alternatives](/tools/techopolis-afm-server/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/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/ferro-labs-ai-gateway-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, ai-gateway or afm-Server? ai-gateway: 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 ai-gateway and afm-Server? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [afm-Server trust report](/tools/techopolis-afm-server/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ferro-labs-ai-gateway`](/api/graphcanon/graph?tool=ferro-labs-ai-gateway) - 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/_