--- title: "ai-getting-started vs kratos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-go-kratos-kratos" tools: ["a16z-infra-ai-getting-started", "go-kratos-kratos"] --- # ai-getting-started vs kratos *GraphCanon updated Aug 25, 2026* ## Verdict Pick ai-getting-started if ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations; pick kratos if kratos is a Go microservices framework designed for cloud-native applications that supports both gRPC and HTTP protocols. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 660 forks, and 16 open issues, last pushed Aug 21, 2024. [kratos](https://go-kratos.dev) has 26k stars, 4.2k forks, and 107 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [kratos's repository](https://github.com/go-kratos/kratos). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [kratos](/tools/go-kratos-kratos.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects | Go microservices framework for cloud-native applications | | Stars | 4,141 | 25,890 | | Forks | 660 | 4,177 | | Open issues | 16 | 107 | | Language | TypeScript | Go | | Adopt for | ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. | Kratos is a Go microservices framework designed for cloud-native applications that supports both gRPC and HTTP protocols. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, Model Training, Vector Databases | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [kratos](/tools/go-kratos-kratos.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 723d | 6d | | Open issues (now) | 16 | 107 | | Stars delta | 0 (30d) | +74 (30d) | | Open issues delta | 0 (30d) | +21 (30d) | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/go-kratos-kratos/trust.md) | ## Decision facts: ai-getting-started - **Adopt for:** ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. ## Decision facts: kratos - **Adopt for:** Kratos is a Go microservices framework designed for cloud-native applications that supports both gRPC and HTTP protocols. ## Choose when ### Choose ai-getting-started if… - ai-getting-started is primarily TypeScript; kratos is Go. - Tags unique to ai-getting-started: deployment, image models, javascript, text models. - Also covers Model Training, Vector Databases. - ai-getting-started ships Docker support for self-hosted deployment. - * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development. ### Choose kratos if… - kratos is primarily Go; ai-getting-started is TypeScript. - Tags unique to kratos: ai, architecture, cloud-native, framework. - When you need to develop efficient and scalable microservice architectures specifically in the Go programming language, as Kratos offers dedicated support to optimize go-based services. ## When NOT to use ai-getting-started - * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. - * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup. ## When NOT to use kratos - If your project does not require Go or you prefer frameworks supporting a wider range of languages, as Kratos is specialized in the Go ecosystem and may introduce language-specific limitations. - In scenarios where lightweight microservices without extensive framework overhead are preferred, given that Kratos includes features like gRPC out of the box which might add unnecessary complexity. ## Common questions ### What is the difference between ai-getting-started and kratos? ai-getting-started: A Javascript AI getting started stack for weekend projects. kratos: Go microservices framework for cloud-native applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-getting-started over kratos? Choose ai-getting-started over kratos when ai-getting-started is primarily TypeScript; kratos is Go; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Model Training, Vector Databases; ai-getting-started ships Docker support for self-hosted deployment; * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development. ### When should I choose kratos over ai-getting-started? Choose kratos over ai-getting-started when kratos is primarily Go; ai-getting-started is TypeScript; Tags unique to kratos: ai, architecture, cloud-native, framework; When you need to develop efficient and scalable microservice architectures specifically in the Go programming language, as Kratos offers dedicated support to optimize go-based services. ### When should I avoid ai-getting-started? * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup. ### When should I avoid kratos? If your project does not require Go or you prefer frameworks supporting a wider range of languages, as Kratos is specialized in the Go ecosystem and may introduce language-specific limitations. In scenarios where lightweight microservices without extensive framework overhead are preferred, given that Kratos includes features like gRPC out of the box which might add unnecessary complexity. ### Is ai-getting-started or kratos more popular on GitHub? kratos has more GitHub stars (25,890 vs 4,141). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and kratos open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, kratos: MIT). ### Where can I find alternatives to ai-getting-started or kratos? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [kratos alternatives](/tools/go-kratos-kratos/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [kratos markdown twin](/tools/go-kratos-kratos/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/a16z-infra-ai-getting-started-vs-go-kratos-kratos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-getting-started or kratos? ai-getting-started: Dormant. kratos: 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 ai-getting-started and kratos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-getting-started trust report](/tools/a16z-infra-ai-getting-started/trust); [kratos trust report](/tools/go-kratos-kratos/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=a16z-infra-ai-getting-started`](/api/graphcanon/graph?tool=a16z-infra-ai-getting-started) - 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/_