--- title: "awesome-ai-sdks vs kratos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/e2b-dev-awesome-ai-sdks-vs-go-kratos-kratos" tools: ["e2b-dev-awesome-ai-sdks", "go-kratos-kratos"] --- # awesome-ai-sdks vs kratos *GraphCanon updated Aug 25, 2026* ## Verdict Pick awesome-ai-sdks if awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems; pick kratos if kratos is a Go microservices framework designed for cloud-native applications that supports both gRPC and HTTP protocols. [awesome-ai-sdks](https://github.com/e2b-dev/awesome-ai-sdks) reports 1.2k GitHub stars, 361 forks, and 241 open issues, last pushed Jul 9, 2026. [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 [awesome-ai-sdks's repository](https://github.com/e2b-dev/awesome-ai-sdks) and [kratos's repository](https://github.com/go-kratos/kratos). | | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [kratos](/tools/go-kratos-kratos.md) | | --- | --- | --- | | Tagline | A database of SDKs for AI agents creation and management | Go microservices framework for cloud-native applications | | Stars | 1,213 | 25,890 | | Forks | 361 | 4,177 | | Open issues | 241 | 107 | | Language | - | Go | | Adopt for | awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems. | Kratos is a Go microservices framework designed for cloud-native applications that supports both gRPC and HTTP protocols. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [kratos](/tools/go-kratos-kratos.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 42d | 6d | | Open issues (now) | 241 | 107 | | Stars delta | +6 (30d) | +74 (30d) | | Open issues delta | +29 (30d) | +21 (30d) | | Full report | [trust report](/tools/e2b-dev-awesome-ai-sdks/trust.md) | [trust report](/tools/go-kratos-kratos/trust.md) | ## Decision facts: awesome-ai-sdks - **Adopt for:** awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems. ## 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 awesome-ai-sdks if… - Tags unique to awesome-ai-sdks: agent, ai-agents, langchain, llmops. - Also covers AI Agents. - When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource. ### Choose kratos if… - Tags unique to kratos: ai, architecture, cloud-native, generate. - 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. - More GitHub stars (26k vs 1.2k) - visibility, not fit. ## When NOT to use awesome-ai-sdks - For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive. - If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment. ## 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 awesome-ai-sdks and kratos? awesome-ai-sdks: A database of SDKs for AI agents creation and management. kratos: Go microservices framework for cloud-native applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-sdks over kratos? Choose awesome-ai-sdks over kratos when Tags unique to awesome-ai-sdks: agent, ai-agents, langchain, llmops; Also covers AI Agents; When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource. ### When should I choose kratos over awesome-ai-sdks? Choose kratos over awesome-ai-sdks when Tags unique to kratos: ai, architecture, cloud-native, generate; 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; More GitHub stars (26k vs 1.2k) - visibility, not fit. ### When should I avoid awesome-ai-sdks? For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive. If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment. ### 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 awesome-ai-sdks or kratos more popular on GitHub? kratos has more GitHub stars (25,890 vs 1,213). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-sdks and kratos open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-ai-sdks or kratos? GraphCanon lists graph-backed alternatives at [awesome-ai-sdks alternatives](/tools/e2b-dev-awesome-ai-sdks/alternatives) and [kratos alternatives](/tools/go-kratos-kratos/alternatives) ([awesome-ai-sdks markdown twin](/tools/e2b-dev-awesome-ai-sdks/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/e2b-dev-awesome-ai-sdks-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, awesome-ai-sdks or kratos? awesome-ai-sdks: Steady. 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 awesome-ai-sdks and kratos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-sdks trust report](/tools/e2b-dev-awesome-ai-sdks/trust); [kratos trust report](/tools/go-kratos-kratos/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks`](/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks) - 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/_