Home/Compare/pentest-ai vs agent-toolkit

Comparison

pentest-ai vs agent-toolkit

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-toolkit if extends AI coding agent capabilities with Python skills for development and professional workflows.

Markdown twin · pentest-ai alternatives · agent-toolkit alternatives

GraphCanon updated 2w

pentest-ai logo

pentest-ai

0xSteph/pentest-ai

1.4kpushed Jul 5, 2026
vs
agent-toolkit logo

agent-toolkit

softaworks/agent-toolkit

2.3kpushed Mar 5, 2026

Trust & integrity

Signalpentest-aiagent-toolkit
Maintenance
Active (21d since push)
As of 1mo · github_public_v1
Slowing (159d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 1mo · github_public_v1
Not a fork · Organization account
As of 2w · 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

pentest-ai
Offensive-security MCP server with security tools and agents
agent-toolkit
A curated collection of skills for AI coding agents

Stars

pentest-ai
1.4k
agent-toolkit
2.3k

Forks

pentest-ai
286
agent-toolkit
217

Open issues

pentest-ai
2
agent-toolkit
17

Language

pentest-ai
Python
agent-toolkit
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-toolkit
Extends AI coding agent capabilities with Python skills for development and professional workflows

Persona

pentest-ai
-
agent-toolkit
-

Runtime

pentest-ai
-
agent-toolkit
-

License

pentest-ai
MIT
agent-toolkit
MIT

Last pushed

pentest-ai
Jul 5, 2026
agent-toolkit
Mar 5, 2026

Categories

pentest-ai
AI Agents, Developer Tools
agent-toolkit
AI Agents, Developer Tools

Trust and health

Maintenance

pentest-ai
Active (82%)
agent-toolkit
Slowing (36%)

Days since push

pentest-ai
21d
agent-toolkit
159d

Open issues (now)

pentest-ai
2
agent-toolkit
17

Owner type

pentest-ai
User
agent-toolkit
Organization

Full report

pentest-ai
Trust report
agent-toolkit
Trust report

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-toolkit if…

  • Tags unique to agent-toolkit: agent-skills, ai, automation, claude.
  • For enhancing specific tasks like documentation, planning, and workflow management
  • More GitHub stars (2.3k vs 1.4k) - visibility, not fit.

When NOT to use agent-toolkit

  • If you seek support for languages other than Python
  • When working with non-Python based coding agents that require specialized skills not covered by this toolkit
  • In cases where custom, from-scratch development is preferred over using pre-packaged scripts

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: pentest-ai 1.4k · agent-toolkit 2.3k (synced Jul 27, 2026).

Common questions

What is the difference between pentest-ai and agent-toolkit?
pentest-ai: Offensive-security MCP server with security tools and agents. agent-toolkit: A curated collection of skills for AI coding agents. See the comparison table for live GitHub stats and shared categories.
When should I choose pentest-ai over agent-toolkit?
Choose pentest-ai over agent-toolkit 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-toolkit over pentest-ai?
Choose agent-toolkit over pentest-ai when Tags unique to agent-toolkit: agent-skills, ai, automation, claude; For enhancing specific tasks like documentation, planning, and workflow management; More GitHub stars (2.3k vs 1.4k) - visibility, not fit.
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-toolkit?
If you seek support for languages other than Python When working with non-Python based coding agents that require specialized skills not covered by this toolkit In cases where custom, from-scratch development is preferred over using pre-packaged scripts
Is pentest-ai or agent-toolkit more popular on GitHub?
agent-toolkit has more GitHub stars (2,307 vs 1,441). Stars measure visibility, not whether either tool fits your constraints.
Are pentest-ai and agent-toolkit open source?
Yes - both are open-source projects on GitHub (pentest-ai: MIT, agent-toolkit: MIT).
Where can I find alternatives to pentest-ai or agent-toolkit?
GraphCanon lists graph-backed alternatives at pentest-ai alternatives and agent-toolkit alternatives (pentest-ai markdown twin, agent-toolkit 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-toolkit?
pentest-ai: Active. agent-toolkit: Slowing. 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-toolkit?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pentest-ai trust report; agent-toolkit trust report.

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