pentagi

Automated penetration testing uses a Docker-based multi-agent system to orchestrate discovery, planning, execution, and memory updates. It coordinates 20+ security tools across sandboxed containers to perform comprehensive vulnerability scanning and exploitation against network targets.

Running autonomous pentesting in Docker requires Docker and Docker Compose, an LLM API key, and at least 16GB of RAM. You start the stack by running docker compose up -d in the project directory to initialize the sandboxed environment.

A multi-agent pentesting system uses Neo4j Graphiti for memory and PostgreSQL with pgvector for embeddings. This knowledge graph structure enables the agents to improve reuse and learning from past security engagements.

Yes, AI-driven agents coordinate vulnerability scanning and exploitation planning by orchestrating over 20 built-in security tools. This multi-agent orchestration automates the entire workflow from initial discovery to execution while maintaining strict containment.

Autonomous security assessments in sandboxed containers require substantial resources, specifically 16GB of RAM, and depend on an external LLM API key. While containment ensures repeatable tests, execution is bound by the capabilities of the 20 integrated security tools.

Pentagi supports repeatable security assessments by executing AI-driven agents in a contained Docker environment. It maintains audit trails and uses a knowledge graph memory to track discovery, planning, and execution across network targets.