[GitHub Trending] vxcontrol/pentagi

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Autonomous AI agents for penetration testing; strong fit for agent orchestration and security automation.

AI/ML github.com

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Why It Matters

For a platform engineer focused on AI agent orchestration and security automation, this is a production-ready reference implementation of multi-agent pen-testing with full observability stack, matching your interest in agent systems, Go-based tooling, and open-source infrastructure.

Key Takeaways

Clone the repo, run `docker-compose up`, and evaluate its multi-agent orchestration and Langfuse observability patterns for your own agent workflows.

Fully autonomous AI Agents system capable of performing complex penetration testing tasks - vxcontrol/pentagi

Summary

PentAGI is an open-source, self-hosted system of fully autonomous AI agents for penetration testing, built with Go, React, and GraphQL. It supports multiple LLM providers (OpenAI, Anthropic, GPT) and includes built-in observability and multi-agent orchestration capabilities. The project leverages Langfuse for LLM observability and Graphiti for knowledge graph management.

Author

vxcontrol