Strix vs PentAGI
Detailed side-by-side comparison to help you choose the right tool
Strix
🔴Developersecurity
Open-source autonomous AI penetration-testing agents that dynamically find, validate, and help fix application vulnerabilities.
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Starting Price
$0 (self-hosted)PentAGI
🔴Developersecurity
Open-source, fully self-hosted autonomous AI penetration-testing platform that runs a team of specialized AI agents with 20+ professional security tools in isolated Docker sandboxes for authorized security testing.
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Starting Price
FreeFeature Comparison
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Strix - Pros & Cons
Pros
- ✓Every finding ships with a validated proof-of-concept, so false positives drop dramatically
- ✓Apache 2.0 core means the offensive toolkit and agent graph are fully inspectable and self-hostable
- ✓Bring-your-own-LLM keeps cost, data residency, and provider choice under your control
- ✓Multi-agent Graph of Agents can chain vulnerabilities the way a human red team would
- ✓CI-native: GitHub Actions and headless modes let you block insecure PRs before merge
- ✓Enterprise tier ships compliance-ready SOC 2 / ISO 27001 / PCI DSS report templates
Cons
- ✗Requires bringing (and paying for) your own LLM API key on the open-source tier — big tests can be token-expensive
- ✗Dynamic agentic pentesting can be slow versus a pure SAST scan on large monorepos
- ✗Autonomous exploitation must only be pointed at systems you own or are authorized to test — misuse risk is real
- ✗Hosted Platform pricing above the free tier is not published; expect a sales conversation for volume
- ✗Younger project than incumbents like Burp Suite or Checkmarx — some enterprise integrations still maturing
PentAGI - Pros & Cons
Pros
- ✓Fully autonomous AI pentesting in sandboxed, isolated Docker containers. This directly supports the primary workflow.
- ✓Multi-agent team (orchestrator, researcher, developer, executor) with supervision agents.
- ✓20+ professional tools built in (nmap, metasploit, sqlmap, and more).
- ✓Smart memory plus Graphiti/Neo4j knowledge graph and pgvector store.
Cons
- ✗Plan prices can omit usage overages, model-provider charges, implementation work, taxes, or required seats.
- ✗Features and limits can change by plan, billing interval, region, and release; verify current documentation.
- ✗No native MCP support is documented in this record, so agent workflows may require API work or another integration layer.
- ✗A representative pilot is necessary because a feature list does not establish reliability or operational fit.
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