head to head · open source
pentest-ai-agents vs ADR
pentest-ai-agents has 2,408 GitHub stars, 457 forks, 1 open issues and last shipped 1 months ago. ADR has 2,096 stars, 225 forks, 6 open issues and last shipped 5 days ago. pentest-ai-agents leads on adoption by 15% (2,408 vs 2,096 stars). pentest-ai-agents is written in Shell under MIT; ADR is written in Python under Apache-2.0. pentest-ai-agents has attracted 19% as many forks as stars, ADR 11%. ADR was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-agents, ai-security, claude-code), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| pentest-ai-agents | ADR | |
|---|---|---|
| GitHub stars | ★ 2.4K | ★ 2.1K |
| License | MIT | Apache-2.0 |
| Written in | Shell | Python |
| Last push | 2026-10-06 | 2026-10-31 |
| Forks | ⑂ 457 | ⑂ 225 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick pentest-ai-agents if
- You weight community size — 2.4K stars and counting
- You want the MIT license terms
- Your stack matches Shell
- You value the larger contributor base for long-term maintenance
pick ADR if
- You want the ADR feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and ADR fits your workflow better
About pentest-ai-agents
pentest ai agents 50 Claude Code subagents for penetration testing. Quick Start Cheatsheet Coverage Agents Examples Table of Contents What's New in v3.3 What's New in v3.2 Agent Map What's New in v3.1 Quick Start Cheatsheet Coverage Agents Tier 1 vs Tier 2 Examples Running Tools in a Container Findings Database Token Optimization Local Models Documentation MCP Server Prerequisites Legal License pentest ai agents is a collection of 50 Claude Code subagents that turn Claude into an offensive security research assistant. Each agent carries deep domain knowledge in a specific area: recon, web, Active Directory…
read the full pentest-ai-agents overview →
About ADR
ADR: Agentic AI Detection and Response ADR (Agentic AI Detection and Response) is an enterprise security system for AI agents. It helps organizations secure employee facing agents such as Cursor, Claude Code, Codex, GitHub Copilot CLI, and DeepSeek Harness, as well as customer facing agents such as AI support agents. ADR is deployed in production at Uber , and the accompanying paper was accepted to MLSys 2026 : Paper PDF · Slides PDF How ADR secures enterprise AI agents ADR secures enterprise AI agents through five complementary capabilities: discovering unsanctioned AI tools, observing agent activity…
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Frequently asked questions
Is pentest-ai-agents or ADR more popular?
pentest-ai-agents has 2,408 GitHub stars and ADR has 2,096. pentest-ai-agents has the larger community by that measure.
Are pentest-ai-agents and ADR free?
Both are open source. pentest-ai-agents is licensed under MIT and ADR under Apache-2.0. Neither carries a licence fee.
What is the difference between pentest-ai-agents and ADR?
pentest-ai-agents is written in Shell and ADR in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, pentest-ai-agents or ADR?
Choose pentest-ai-agents if you want the larger community (2,408 stars) or its MIT licence terms. Choose ADR if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.