Comparison
pentest-ai vs agent-framework
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 agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Markdown twin · pentest-ai alternatives · agent-framework alternatives
GraphCanon updated Sep 30, 2026
vs
Trust & integrity
| Signal | pentest-ai | agent-framework |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 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 18, 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 15, 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
- agent-framework
- Framework for building and deploying AI agents and multi-agent workflows
Stars
- pentest-ai
- 1.7k
- agent-framework
- 14k
Forks
- pentest-ai
- 314
- agent-framework
- 2.3k
Open issues
- pentest-ai
- 2
- agent-framework
- 605
Language
- pentest-ai
- Python
- agent-framework
- Python
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.
- agent-framework
- The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Persona
- pentest-ai
- -
- agent-framework
- -
Runtime
- pentest-ai
- -
- agent-framework
- -
License
- pentest-ai
- MIT
- agent-framework
- MIT
Last pushed
- pentest-ai
- Sep 13, 2026
- agent-framework
- Sep 18, 2026
Categories
- pentest-ai
- AI Agents, Developer Tools
- agent-framework
- AI Agents, Developer Tools
Trust and health
Days since push
- pentest-ai
- 6d
- agent-framework
- 0d
Open issues (now)
- pentest-ai
- 2
- agent-framework
- 605
Stars delta
- pentest-ai
- +244 (30d)
- agent-framework
- +855 (30d)
Open issues delta
- pentest-ai
- 0 (30d)
- agent-framework
- -80 (30d)
Owner type
- pentest-ai
- User
- agent-framework
- Organization
Full report
- pentest-ai
- Trust report
- agent-framework
- Trust report
Shared compatibility
- Python · pentest-ai: Python runtime · agent-framework: 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 agent-framework if…
- Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
- Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent.
- Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
When NOT to use agent-framework
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
- Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
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 (microsoft/agent-framework) · observed Sep 20, 2026
- GitHub forks (microsoft/agent-framework) · observed Sep 20, 2026
- Last push (microsoft/agent-framework) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: pentest-ai 1.7k · agent-framework 14k (synced Sep 20, 2026).
Common questions
- What is the difference between pentest-ai and agent-framework?
- pentest-ai: Offensive-security MCP server with security tools and agents. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose pentest-ai over agent-framework?
- Choose pentest-ai over agent-framework 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 agent-framework over pentest-ai?
- Choose agent-framework over pentest-ai when Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
- 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 agent-framework?
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
- Is pentest-ai or agent-framework more popular on GitHub?
- agent-framework has more GitHub stars (13,573 vs 1,685). Stars measure visibility, not whether either tool fits your constraints.
- Are pentest-ai and agent-framework open source?
- Yes - both are open-source projects on GitHub (pentest-ai: MIT, agent-framework: MIT).
- Where can I find alternatives to pentest-ai or agent-framework?
- GraphCanon lists graph-backed alternatives at pentest-ai alternatives and agent-framework alternatives (pentest-ai markdown twin, agent-framework 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 agent-framework?
- pentest-ai: Very active. agent-framework: 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 pentest-ai and agent-framework?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pentest-ai trust report; agent-framework trust report.