--- title: "ai-gateway vs IntelliServer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-intelligentnode-intelliserver" tools: ["ferro-labs-ai-gateway", "intelligentnode-intelliserver"] --- # ai-gateway vs IntelliServer *GraphCanon updated Aug 9, 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 IntelliServer if deploy scalable AI microservices using IntelliServer in Docker for chatbot, semantic search, image generation. [ai-gateway](https://docs.ferrolabs.ai) reports 219 GitHub stars, 33 forks, and 63 open issues, last pushed Aug 7, 2026. [IntelliServer](https://intelli-server.vercel.app) has 29 stars, 3 forks, and 2 open issues, last pushed Jul 13, 2026. Figures are from public GitHub metadata via [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [IntelliServer's repository](https://github.com/intelligentnode/IntelliServer). | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [IntelliServer](/tools/intelligentnode-intelliserver.md) | | --- | --- | --- | | Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | AI models as scalable microservices for evaluation and end-to-end functions | | Stars | 219 | 29 | | Forks | 33 | 3 | | Open issues | 63 | 2 | | Language | Go | JavaScript | | 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. | Deploy scalable AI microservices using IntelliServer in Docker for chatbot, semantic search, image generation. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - a permissive free software license | MIT License, free for use in personal or commercial projects with attribution. | | Categories | Inference & Serving, Model Training | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [IntelliServer](/tools/intelligentnode-intelliserver.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 2d | 25d | | Open issues (now) | 63 | 2 | | Owner type | Organization | User | | Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/intelligentnode-intelliserver/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: IntelliServer - **Adopt for:** Deploy scalable AI microservices using IntelliServer in Docker for chatbot, semantic search, image generation. - **License detail:** MIT License, free for use in personal or commercial projects with attribution. ## Choose when ### Choose ai-gateway if… - ai-gateway is primarily Go; IntelliServer is JavaScript. - License: ai-gateway is Apache-2.0, IntelliServer is MIT. - Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ### Choose IntelliServer if… - IntelliServer is primarily JavaScript; ai-gateway is Go. - License: IntelliServer is MIT, ai-gateway is Apache-2.0. - Tags unique to IntelliServer: ai, chatbot, claude, cohere. - Also covers LLM Frameworks. - Need to deploy specific AI services like chatbot or semantic search as Dockerized microservices ## 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 IntelliServer - For general-purpose model training; IntelliServer focuses on inference and serving via microservices - If you need real-time performance without the overhead of containerization ## Common questions ### What is the difference between ai-gateway and IntelliServer? ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. IntelliServer: AI models as scalable microservices for evaluation and end-to-end functions. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-gateway over IntelliServer? Choose ai-gateway over IntelliServer when ai-gateway is primarily Go; IntelliServer is JavaScript; License: ai-gateway is Apache-2.0, IntelliServer is MIT; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I choose IntelliServer over ai-gateway? Choose IntelliServer over ai-gateway when IntelliServer is primarily JavaScript; ai-gateway is Go; License: IntelliServer is MIT, ai-gateway is Apache-2.0; Tags unique to IntelliServer: ai, chatbot, claude, cohere; Also covers LLM Frameworks; Need to deploy specific AI services like chatbot or semantic search as Dockerized microservices. ### 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 IntelliServer? For general-purpose model training; IntelliServer focuses on inference and serving via microservices If you need real-time performance without the overhead of containerization ### Is ai-gateway or IntelliServer more popular on GitHub? ai-gateway has more GitHub stars (219 vs 29). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-gateway and IntelliServer open source? Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, IntelliServer: MIT). ### Where can I find alternatives to ai-gateway or IntelliServer? GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [IntelliServer alternatives](/tools/intelligentnode-intelliserver/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md), [IntelliServer markdown twin](/tools/intelligentnode-intelliserver/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-intelligentnode-intelliserver.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-gateway or IntelliServer? ai-gateway: Very active. IntelliServer: 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 ai-gateway and IntelliServer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [IntelliServer trust report](/tools/intelligentnode-intelliserver/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/_