Comparison
pentest-ai vs awesome-ai-sdks
Verdict
Pick pentest-ai if pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT; 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.
Markdown twin · pentest-ai alternatives · awesome-ai-sdks alternatives
GraphCanon updated Sep 30, 2026
15views this month
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Trust & integrity
| Signal | pentest-ai | awesome-ai-sdks |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 20, 2026 · github_public_v1 | Steady (72d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- pentest-ai
- Offensive-security MCP server with security tools and agents
- awesome-ai-sdks
- A database of SDKs for AI agents creation and management
Stars
- pentest-ai
- 1.7k
- awesome-ai-sdks
- 1.2k
Forks
- pentest-ai
- 314
- awesome-ai-sdks
- 399
Open issues
- pentest-ai
- 2
- awesome-ai-sdks
- 271
Language
- pentest-ai
- Python
- awesome-ai-sdks
- -
Adopt for
- pentest-ai
- Pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT.
- 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.
Persona
- pentest-ai
- -
- awesome-ai-sdks
- -
Runtime
- pentest-ai
- -
- awesome-ai-sdks
- -
License
- pentest-ai
- MIT
- awesome-ai-sdks
- -
Last pushed
- pentest-ai
- Sep 13, 2026
- awesome-ai-sdks
- Jul 9, 2026
Categories
- pentest-ai
- AI Agents, Developer Tools
- awesome-ai-sdks
- AI Agents, Developer Tools
Trust and health
Maintenance
- pentest-ai
- Very active (96%)
- awesome-ai-sdks
- Steady (60%)
Days since push
- pentest-ai
- 6d
- awesome-ai-sdks
- 72d
Open issues (now)
- pentest-ai
- 2
- awesome-ai-sdks
- 271
Stars delta
- pentest-ai
- +244 (30d)
- awesome-ai-sdks
- +10 (30d)
Open issues delta
- pentest-ai
- 0 (30d)
- awesome-ai-sdks
- +30 (30d)
Owner type
- pentest-ai
- User
- awesome-ai-sdks
- Organization
Full report
- pentest-ai
- Trust report
- awesome-ai-sdks
- Trust report
Shared compatibility
- Python · pentest-ai: Python runtime · awesome-ai-sdks: Python runtime
Choose pentest-ai if…
- Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security.
- pentest-ai ships Docker support for self-hosted deployment.
- When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents.
When NOT to use pentest-ai
- If your requirements do not include offensive-security capabilities or exploit chaining.
- When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations.
Choose awesome-ai-sdks if…
- Tags unique to awesome-ai-sdks: agent, ai-agents, framework, langchain.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (0xSteph/pentest-ai) · observed Sep 20, 2026
- GitHub forks (0xSteph/pentest-ai) · observed Sep 20, 2026
- Last push (0xSteph/pentest-ai) · observed Sep 13, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (e2b-dev/awesome-ai-sdks) · observed Sep 20, 2026
- GitHub forks (e2b-dev/awesome-ai-sdks) · observed Sep 20, 2026
- Last push (e2b-dev/awesome-ai-sdks) · observed Jul 9, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pentest-ai 1.7k · awesome-ai-sdks 1.2k (synced Sep 20, 2026).
Common questions
- What is the difference between pentest-ai and awesome-ai-sdks?
- pentest-ai: Offensive-security MCP server with security tools and agents. awesome-ai-sdks: A database of SDKs for AI agents creation and management. See the comparison table for live GitHub stats and shared categories.
- When should I choose pentest-ai over awesome-ai-sdks?
- Choose pentest-ai over awesome-ai-sdks when Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security; pentest-ai ships Docker support for self-hosted deployment; When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents.
- When should I choose awesome-ai-sdks over pentest-ai?
- Choose awesome-ai-sdks over pentest-ai when Tags unique to awesome-ai-sdks: agent, ai-agents, framework, langchain; When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource.
- When should I avoid pentest-ai?
- If your requirements do not include offensive-security capabilities or exploit chaining. When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations.
- 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.
- Is pentest-ai or awesome-ai-sdks more popular on GitHub?
- pentest-ai has more GitHub stars (1,685 vs 1,223). Stars measure visibility, not whether either tool fits your constraints.
- Are pentest-ai and awesome-ai-sdks open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to pentest-ai or awesome-ai-sdks?
- GraphCanon lists graph-backed alternatives at pentest-ai alternatives and awesome-ai-sdks alternatives (pentest-ai markdown twin, awesome-ai-sdks 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, pentest-ai or awesome-ai-sdks?
- pentest-ai: Very active. awesome-ai-sdks: Steady. 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 pentest-ai and awesome-ai-sdks?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pentest-ai trust report; awesome-ai-sdks trust report.