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PentAGI

Self-hosted, autonomous AI penetration-testing platform that runs security tests in an isolated Docker sandbox using a team of specialized agents.

Starting at$0 (self-hosted)
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In Plain English

Open-source, self-hosted autonomous AI penetration-testing platform with 20+ security tools in a Docker sandbox and multi-agent orchestration.

OverviewFeaturesPricingUse CasesLimitationsFAQ

Overview

PentAGI (Penetration testing Artificial General Intelligence) is an open-source, self-hosted platform for automated security testing aimed at information-security professionals, researchers, and enthusiasts. It runs an AI-powered agent that autonomously determines and executes penetration-testing steps, with optional execution monitoring and intelligent task planning for reliability. All operations happen inside a fully isolated, sandboxed Docker environment, and the platform bundles more than 20 professional security tools such as nmap, metasploit, and sqlmap. Rather than a single monolithic agent, PentAGI uses a team of specialists with a delegation system: an orchestrator coordinates researcher, developer, and executor agents that share discoveries and chain findings. It has a smart long-term memory system for storing successful approaches, plus a Graphiti-powered knowledge graph on Neo4j for semantic relationship tracking. Built-in web intelligence includes an isolated browser scraper and integrations with external search systems such as Tavily, Traversaal, Perplexity, DuckDuckGo, Google Custom Search, Sploitus, and Searxng. For builders and teams, PentAGI ships a clean web UI plus full REST and GraphQL APIs secured with Bearer tokens for automation and integration. It supports 10+ LLM providers including OpenAI, Anthropic, Google AI/Gemini, AWS Bedrock, Ollama, DeepSeek, GLM, Kimi, and Qwen, plus aggregators like OpenRouter and DeepInfra, and custom OpenAI-compatible endpoints. Observability is first-class, with Langfuse for LLM analytics and Grafana/Prometheus, Jaeger, and Loki for monitoring. Data persists in PostgreSQL with the pgvector extension, and the microservices architecture supports horizontal scaling. It generates detailed vulnerability reports with exploitation guides and is deployed quickly via Docker Compose. Note it is an autonomous and assistant-guided pentesting platform, not a breach-and-attack-simulation product. Use only on systems you are authorized to test.

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Editorial Review

PentAGI is an autonomous, self-hosted AI pentesting platform with a multi-agent orchestrator, 20+ professional tools in a Docker sandbox, and a Neo4j knowledge graph for tracking findings. Broad LLM support, REST/GraphQL APIs, and deep observability set it apart from chatbot-plus-scanner tools. It's investigative pentesting, not breach-and-attack simulation, and demands security expertise.

Key Features

  • •Autonomous exploitation with monitoring
  • •Specialized agent delegation
  • •Sandboxed pro toolset
  • •Semantic knowledge graph
  • •Multi-source web intelligence
  • •Full REST/GraphQL API
  • •Broad LLM + deep observability

Pricing Plans

Open Source

$0 (self-hosted)

  • ✓Self-hosted via Docker Compose with full control over data
  • ✓20+ built-in professional security tools in a sandboxed environment
  • ✓REST and GraphQL APIs with Bearer token auth
  • ✓Bring your own LLM provider (10+ supported plus custom endpoints)
See Full Pricing →Free vs Paid →Is it worth it? →

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Best Use Cases

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Automated and assistant-guided penetration testing

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Security research and vulnerability discovery in a sandboxed environment

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Generating detailed vulnerability reports with exploitation guides

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Programmatic security workflows via REST/GraphQL APIs

Limitations & What It Can't Do

We believe in transparent reviews. Here's what PentAGI doesn't handle well:

  • ⚠Requires strong security expertise — autonomous exploitation without judgment is risky
  • ⚠Self-hosted only; no managed SaaS
  • ⚠Investigative pentesting, not breach-and-attack simulation

Pros & Cons

✓ Pros

  • ✓20+ pro security tools plus multi-agent delegation, all sandboxed — significant setup work you don't have to do
  • ✓Deep observability (Langfuse + Grafana + Jaeger + Loki) is rare in security tooling and makes agent behavior debuggable
  • ✓10+ LLM providers plus custom endpoints means you can run fully offline with Ollama or cheap via OpenRouter

✗ Cons

  • ✗Autonomous exploitation is dangerous without security expertise — not a beginner tool
  • ✗Self-hosted only; no managed SaaS option
  • ✗Overlap with breach-and-attack-simulation products may mislead buyers — PentAGI is investigative, not scenario-based

Frequently Asked Questions

How much does PentAGI cost?+

PentAGI pricing starts at $0 (self-hosted). They offer a single pricing plan.

What are the main features of PentAGI?+

PentAGI includes Autonomous exploitation with monitoring, Specialized agent delegation, Sandboxed pro toolset and 4 other features. Self-hosted, autonomous AI penetration-testing platform that runs security tests in an isolated Docker sandbox using a team of specialized agents....
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Quick Info

Category

security

Website

github.com/vxcontrol/pentagi
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