Comparison
awesome-ai-sdks vs kratos
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.
Markdown twin · awesome-ai-sdks alternatives · kratos alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | awesome-ai-sdks | kratos |
|---|---|---|
| Maintenance | Steady (42d since push) As of 3d · github_public_v1 | Active (24d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-ai-sdks
- A database of SDKs for AI agents creation and management
- kratos
- Go microservices framework for cloud-native applications
Stars
- awesome-ai-sdks
- 1.2k
- kratos
- 26k
Forks
- awesome-ai-sdks
- 361
- kratos
- 4.2k
Open issues
- awesome-ai-sdks
- 241
- kratos
- 86
Language
- awesome-ai-sdks
- -
- kratos
- Go
Adopt for
- awesome-ai-sdks
- awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems.
- kratos
- Kratos is a Go microservices framework designed for cloud-native applications that supports both gRPC and HTTP protocols.
Persona
- awesome-ai-sdks
- -
- kratos
- -
Runtime
- awesome-ai-sdks
- -
- kratos
- -
License
- awesome-ai-sdks
- -
- kratos
- MIT
Last pushed
- awesome-ai-sdks
- Jul 9, 2026
- kratos
- Jul 1, 2026
Categories
- awesome-ai-sdks
- AI Agents, Developer Tools
- kratos
- Developer Tools
Trust and health
Maintenance
- awesome-ai-sdks
- Steady (60%)
- kratos
- Active (82%)
Days since push
- awesome-ai-sdks
- 42d
- kratos
- 24d
Open issues (now)
- awesome-ai-sdks
- 241
- kratos
- 86
Stars delta
- awesome-ai-sdks
- +6 (30d)
- kratos
- Unknown
Open issues delta
- awesome-ai-sdks
- +29 (30d)
- kratos
- Unknown
Full report
- awesome-ai-sdks
- Trust report
- kratos
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (e2b-dev/awesome-ai-sdks) · observed Aug 21, 2026
- GitHub forks (e2b-dev/awesome-ai-sdks) · observed Aug 21, 2026
- Last push (e2b-dev/awesome-ai-sdks) · observed Jul 9, 2026
- License file (unknown) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (go-kratos/kratos) · observed Jul 26, 2026
- GitHub forks (go-kratos/kratos) · observed Jul 26, 2026
- Last push (go-kratos/kratos) · observed Jul 1, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-sdks 1.2k · kratos 26k (synced Aug 21, 2026).
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 (25,816 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 and kratos alternatives (awesome-ai-sdks markdown twin, kratos markdown twin), 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 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: 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; kratos trust report.