Strix
Autonomous AI penetration-testing agents that find vulnerabilities and validate them with working exploits.
About
Security teams point Strix at a codebase or running application and get validated vulnerabilities instead of scanner noise: autonomous agents plan an engagement, probe for the OWASP Top 10 plus business-logic flaws, then confirm each finding by building a working proof-of-concept exploit before reporting it. The agents carry real tooling, including an HTTP interception proxy, browser automation for XSS and authentication flows, shell and code execution, and multi-agent orchestration that splits large scopes across cooperating workers, with results collected in a local web dashboard. A one-line install script sets it up; runs require Docker plus an API key for a supported LLM provider such as OpenAI, Anthropic, or Google, and a GitHub Action wires scans into CI/CD. The repository passed 57k stars in 2026, making it one of the fastest-growing security projects on GitHub. Code is Apache 2.0, a commercial cloud and enterprise tier backs the project, and the usual rule applies: only test targets you are authorized to attack.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- AI Agents & Orchestration
- Price
- Freemium
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Aug 24, 2026
Related Tools
Multi-agent framework for building and studying societies of communicating LLM agents at scale.
Super-agent harness orchestrating sub-agents, memory, and sandboxes for research and automation.
TypeScript agentic operating system with plugins, memory, and connectors for major messaging platforms.
Code-first, model-agnostic toolkit for building, evaluating, and deploying AI agents.
Autonomous agent that plans queries, searches the web and local files, and writes cited reports.
Platform for building and running autonomous agents that execute complete workflows from goals.