Strix

Open-source AI hackers to find and fix your app’s vulnerabilities.

[!TIP] New! Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches production - Get started with no setup required.

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Strix Overview

Strix are autonomous AI agents that act just like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts. Built for developers and security teams who need fast, accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools.

Key Capabilities:

• Full hacker toolkit out of the box
• Teams of agents that collaborate and scale
• Real validation with PoCs, not false positives
• Developer‑first CLI with actionable reports
• Auto‑fix & reporting to accelerate remediation

Use Cases

• Application Security Testing - Detect and validate critical vulnerabilities in your applications
• Rapid Penetration Testing - Get penetration tests done in hours, not weeks, with compliance reports
• Bug Bounty Automation - Automate bug bounty research and generate PoCs for faster reporting
• CI/CD Integration - Run tests in CI/CD to block vulnerabilities before reaching production

🚀 Quick Start

Prerequisites: - Docker (running) - An LLM API key from any supported provider (OpenAI, Anthropic, Google, etc.)

Installation & First Scan

# Install Strix
curl -sSL https://strix.ai/install | bash

# Configure your AI provider
export STRIX_LLM="openai/gpt-5.4"
export LLM_API_KEY="your-api-key"

# Run your first security assessment
strix --target ./app-directory

[!NOTE] First run automatically pulls the sandbox Docker image. Results are saved to strix_runs/<run-name>

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☁️ Strix Platform

Try the Strix full-stack security platform at app.strix.ai — sign up for free, connect your repos and domains, and launch a pentest in minutes.

• Validated findings with PoCs and reproduction steps
• One-click autofix as ready-to-merge pull requests
• Continuous monitoring across code, cloud, and infrastructure
• Integrations with GitHub, Slack, Jira, Linear, and CI/CD pipelines
• Continuous learning that builds on past findings and remediations

Start your first pentest →

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✨ Features

Agentic Security Tools

Strix agents come equipped with a comprehensive security testing toolkit:

• Full HTTP Proxy - Full request/response manipulation and analysis
• Browser Automation - Multi-tab browser for testing of XSS, CSRF, auth flows
• Terminal Environments - Interactive shells for command execution and testing
• Python Runtime - Custom exploit development and validation
• Reconnaissance - Automated OSINT and attack surface mapping
• Code Analysis - Static and dynamic analysis capabilities
• Knowledge Management - Structured findings and attack documentation

Comprehensive Vulnerability Detection

Strix can identify and validate a wide range of security vulnerabilities:

• Access Control - IDOR, privilege escalation, auth bypass
• Injection Attacks - SQL, NoSQL, command injection
• Server-Side - SSRF, XXE, deserialization flaws
• Client-Side - XSS, prototype pollution, DOM vulnerabilities
• Business Logic - Race conditions, workflow manipulation
• Authentication - JWT vulnerabilities, session management
• Infrastructure - Misconfigurations, exposed services

Graph of Agents

Advanced multi-agent orchestration for comprehensive security testing:

• Distributed Workflows - Specialized agents for different attacks and assets
• Scalable Testing - Parallel execution for fast comprehensive coverage
• Dynamic Coordination - Agents collaborate and share discoveries

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Usage Examples

Basic Usage

# Scan a local codebase
strix --target ./app-directory

# Security review of a GitHub repository
strix --target https://github.com/org/repo

# Black-box web application assessment
strix --target https://your-app.com

Advanced Testing Scenarios

# Grey-box authenticated testing
strix --target https://your-app.com --instruction "Perform authenticated testing using credentials: user:pass"

# Multi-target testing (source code + deployed app)
strix -t https://github.com/org/app -t https://your-app.com

# White-box source-aware scan (local repository)
strix --target ./app-directory --scan-mode standard

# Focused testing with custom instructions
strix --target api.your-app.com --instruction "Focus on business logic flaws and IDOR vulnerabilities"

# Provide detailed instructions through file (e.g., rules of engagement, scope, exclusions)
strix --target api.your-app.com --instruction-file ./instruction.md

# Force PR diff-scope against a specific base branch
strix -n --target ./ --scan-mode quick --scope-mode diff --diff-base origin/main

Headless Mode

Run Strix programmatically without interactive UI using the -n/--non-interactive flag—perfect for servers and automated jobs. The CLI prints real-time vulnerability findings, and the final report before exiting. Exits with non-zero code when vulnerabilities are found.

strix -n --target https://your-app.com

CI/CD (GitHub Actions)

Strix can be added to your pipeline to run a security test on pull requests with a lightweight GitHub Actions workflow:

name: strix-penetration-test

on:
  pull_request:

jobs:
  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v6
        with:
          fetch-depth: 0

      - name: Install Strix
        run: curl -sSL https://strix.ai/install | bash

      - name: Run Strix
        env:
          STRIX_LLM: ${{ secrets.STRIX_LLM }}
          LLM_API_KEY: ${{ secrets.LLM_API_KEY }}

        run: strix -n -t ./ --scan-mode quick

[!TIP] In CI pull request runs, Strix automatically scopes quick reviews to changed files. If diff-scope cannot resolve, ensure checkout uses full history (fetch-depth: 0) or pass --diff-base explicitly.

Configuration

export STRIX_LLM="openai/gpt-5.4"
export LLM_API_KEY="your-api-key"

# Optional
export LLM_API_BASE="your-api-base-url"  # if using a local model, e.g. Ollama, LMStudio
export PERPLEXITY_API_KEY="your-api-key"  # for search capabilities
export STRIX_REASONING_EFFORT="high"  # control thinking effort (default: high, quick scan: medium)

[!NOTE] Strix automatically saves your configuration to ~/.strix/cli-config.json, so you don't have to re-enter it on every run.

Recommended models for best results:

• OpenAI GPT-5.4 — openai/gpt-5.4
• Anthropic Claude Sonnet 4.6 — anthropic/claude-sonnet-4-6
• Google Gemini 3 Pro Preview — vertex_ai/gemini-3-pro-preview

See the LLM Providers documentation for all supported providers including Vertex AI, Bedrock, Azure, and local models.

Enterprise

Get the same Strix experience with enterprise-grade controls: SSO (SAML/OIDC), custom compliance reports, dedicated support & SLA, custom deployment options (VPC/self-hosted), BYOK model support, and tailored agents optimized for your environment. Learn more.

Documentation

Full documentation is available at docs.strix.ai — including detailed guides for usage, CI/CD integrations, skills, and advanced configuration.

Contributing

We welcome contributions of code, docs, and new skills - check out our Contributing Guide to get started or open a pull request/issue.

Join Our Community

Have questions? Found a bug? Want to contribute? Join our Discord!

Support the Project

Love Strix? Give us a ⭐ on GitHub!

Acknowledgements

Strix builds on the incredible work of open-source projects like LiteLLM, Caido, Nuclei, Playwright, and Textual. Huge thanks to their maintainers!

[!WARNING] Only test apps you own or have permission to test. You are responsible for using Strix ethically and legally.