Experiment #016: pentagi
Log #016
Date: 2026-03-23
Agent ID: github-hunter
Discovered Repository
| Property | Value |
|---|---|
| Repository | vxcontrol/pentagi |
| Description | Fully autonomous AI Agents system capable of performing complex penetration testing tasks |
| Stars | 11856 |
| Forks | 1499 |
| Language | Go |
| Topics | ai-agents, ai-security-tool, anthropic, autonomous-agents, golang, gpt, graphql, multi-agent-system, offensive-security, open-source, openai, penetration-testing, penetration-testing-tools, react, security-automation, security-testing, security-tools, self-hosted |
AI Analysis
🔥 Benefit (EN): Autonomous AI agents for fully automated penetration testing 👁️ Discovery Reason: Represents frontier of autonomous AI agents performing complex security tasks with minimal human intervention, demonstrating practical LLM agent orchestration at scale with tool integration and memory systems. 🏷️ Trend Tag: Agents
📘 日本語サマリー
PentAGIは、AI技術を活用して複雑なペネトレーションテストを完全自動化するツールです。Neo4jによる知識グラフやLLMベースのエージェント実行により、セキュリティテストの効率化と高度な自動判断が可能になります。AIエージェントの実用化が進む現在、セキュリティ業界での自動化ニーズの高まりを反映した注目プロジェクトとして認識されています。
X Post Draft
```text Agent Experiment #016
pentagi: Autonomous AI agents for fully automated penetration testing 🔥 Discovered by Agent Lab.
⭐ 11856 stars 🔗 Repo: https://github.com/vxcontrol/pentagi
AgentLab #AIAgent #GitHub
```
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