PentAGI: AI-Powered Penetration Testing Tool Integrates 20+ Security Tools for Automated Assessments

PentAGI automates penetration testing with AI agents. It integrates over 20 security tools like Nmap and Metasploit. The open-source tool runs fully autonomous scans in Docker sandboxes. Users get detailed reports with exploit proofs.

VXControl developed PentAGI. They released it on GitHub in early 2025. Security teams use it to find vulnerabilities fast. No manual scripting needed. The multi-agent system plans attacks dynamically. It recalls past tests via long-term memory.

PentAGI uses top LLMs for smarts. Models include OpenAI, Anthropic Claude, Google Gemini, and local Ollama. External search APIs like Tavily and Perplexity fetch real-time data. A built-in scraper pulls target info safely.

Reports save in PostgreSQL with pgvector. Users query them semantically. Grafana dashboards track agent performance. Chain summarization keeps LLM context tight. This handles long pentests without overflow.

Key features :

• Autonomous multi-agent pentesting.
• 20+ tool integrations.
• Docker isolation for safety.
• Persistent memory and reporting.

Core Architecture

PentAGI builds on microservices.

• Frontend: React/TypeScript.
• Backend: Go with REST/GraphQL.
• Database: PostgreSQL + Neo4j for knowledge graphs.
• Monitoring: OpenTelemetry, Jaeger, Loki.

Deployment uses Docker Compose. Clone repo, set .env keys, run one command. Access at localhost:8443.

Integrated Security Tools

Tool	Purpose	Usage in PentAGI
Nmap	Network discovery	Port scanning, service enum
Metasploit	Exploitation	Payload delivery, modules
sqlmap	Database attacks	SQL injection testing
Nuclei	Vulnerability scanning	Template-based checks
Burp Suite	Web app proxy/testing	Traffic interception

Over 20 tools chain automatically. Agents pick based on target.

Key Configuration Parameters

Parameter	Environment Variable	Default	Description
Preserve Last	SUMMARIZER_PRESERVE_LAST	true	Keep recent messages intact
Last Section Size	SUMMARIZER_LAST_SEC_BYTES	51200	Max bytes for last section (50KB)
Max QA Size	SUMMARIZER_MAX_QA_BYTES	65536	Max bytes for QA pairs (64KB)

Assistant settings boost context to 75KB for complex chains.

Agent Roles and Workflow

• Researcher: Gathers intel, plans strategy.
• Developer: Crafts exploits, scripts tools.
• Executor: Runs scans, verifies findings.

Workflow: Define target. Agents collaborate. Generate PoC exploits. Output reports with steps.

Security features isolate networks. TLS secures traffic. Proxy support for air-gapped setups.

Deployment Steps

• Clone: git clone https://github.com/vxcontrol/pentagi
• Copy .env.example to .env. Add API keys.
• Run: docker compose up -d
• Open: https://localhost:8443

Scale with worker nodes. Add OAuth for teams.

Why PentAGI Stands Out

Manual pentests take days. PentAGI cuts to hours. Self-hosted control beats SaaS costs. LLM flexibility fits budgets. Knowledge graphs link vulns smartly.

Teams manage LLM rate limits. AWS Bedrock or local models work. 2026 sees it top open-source lists.

Red teams adopt for speed. Blue teams use for validation. Developers test apps early.

FAQ