--- title: "aikit vs gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kaito-project-aikit-vs-missingstudio-gateway" tools: ["kaito-project-aikit", "missingstudio-gateway"] --- # aikit vs gateway *GraphCanon updated Aug 24, 2026* ## Verdict Pick aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies; pick gateway if aI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models. [aikit](https://kaito-project.github.io/aikit/) reports 537 GitHub stars, 57 forks, and 40 open issues, last pushed Aug 24, 2026. [gateway](https://www.missing.studio) has 160 stars, 17 forks, and 10 open issues, last pushed Apr 8, 2024. Figures are from public GitHub metadata via [aikit's repository](https://github.com/kaito-project/aikit) and [gateway's repository](https://github.com/missingstudio/gateway). | | [aikit](/tools/kaito-project-aikit.md) | [gateway](/tools/missingstudio-gateway.md) | | --- | --- | --- | | Tagline | Fine-tune, build, and deploy open-source LLMs easily! | Core infrastructure stack for building production-ready AI Applications | | Stars | 537 | 160 | | Forks | 57 | 17 | | Open issues | 40 | 10 | | Language | Go | Go | | Adopt for | Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. | AI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aikit](/tools/kaito-project-aikit.md) | [gateway](/tools/missingstudio-gateway.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 846d | | Open issues (now) | 40 | 10 | | Stars delta | +3 (30d) | Unknown | | Open issues delta | -3 (30d) | Unknown | | Full report | [trust report](/tools/kaito-project-aikit/trust.md) | [trust report](/tools/missingstudio-gateway/trust.md) | ## Decision facts: aikit - **Adopt for:** Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. ## Decision facts: gateway - **Adopt for:** AI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models. ## Choose when ### Choose aikit if… - License: aikit is MIT, gateway is Apache-2.0. - Tags unique to aikit: ai, buildkit, chatgpt, docker. - Also covers LLM Frameworks. - - You need a flexible solution specifically built using Go and prefer its concurrency model. ### Choose gateway if… - License: gateway is Apache-2.0, aikit is MIT. - Tags unique to gateway: ai-gateway, grpc, inference, llmops. - Use when you need to deploy applications that require low-latency communication like gRPC services. ## When NOT to use aikit - - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these. ## When NOT to use gateway - Avoid if the project does not involve production-grade AI application deployment or specific needs of grpc and protobuf technologies. - Not suitable for teams preferring other programming languages over Go, as this tool is written entirely in Go. ## Common questions ### What is the difference between aikit and gateway? aikit: Fine-tune, build, and deploy open-source LLMs easily!. gateway: Core infrastructure stack for building production-ready AI Applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose aikit over gateway? Choose aikit over gateway when License: aikit is MIT, gateway is Apache-2.0; Tags unique to aikit: ai, buildkit, chatgpt, docker; Also covers LLM Frameworks; - You need a flexible solution specifically built using Go and prefer its concurrency model. ### When should I choose gateway over aikit? Choose gateway over aikit when License: gateway is Apache-2.0, aikit is MIT; Tags unique to gateway: ai-gateway, grpc, inference, llmops; Use when you need to deploy applications that require low-latency communication like gRPC services. ### When should I avoid aikit? - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these. ### When should I avoid gateway? Avoid if the project does not involve production-grade AI application deployment or specific needs of grpc and protobuf technologies. Not suitable for teams preferring other programming languages over Go, as this tool is written entirely in Go. ### Is aikit or gateway more popular on GitHub? aikit has more GitHub stars (537 vs 160). Stars measure visibility, not whether either tool fits your constraints. ### Are aikit and gateway open source? Yes - both are open-source projects on GitHub (aikit: MIT, gateway: Apache-2.0). ### Where can I find alternatives to aikit or gateway? GraphCanon lists graph-backed alternatives at [aikit alternatives](/tools/kaito-project-aikit/alternatives) and [gateway alternatives](/tools/missingstudio-gateway/alternatives) ([aikit markdown twin](/tools/kaito-project-aikit/alternatives.md), [gateway markdown twin](/tools/missingstudio-gateway/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/kaito-project-aikit-vs-missingstudio-gateway.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aikit or gateway? aikit: Very active. gateway: Dormant. 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 aikit and gateway? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aikit trust report](/tools/kaito-project-aikit/trust); [gateway trust report](/tools/missingstudio-gateway/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kaito-project-aikit`](/api/graphcanon/graph?tool=kaito-project-aikit) - 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/_