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usestrix/strix

Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.

Python ◇ agents Apache-2.0
★71.5KSTARS
⑂8KFORKS
!507ISSUES
🏆#169GLOBAL RANK
🔥41DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

strix is strix is an open-source project written in Python: Open-source AI penetration testing tool to find and fix your app’s vulnerabilities..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), usestrix/strix has accumulated 71,467 GitHub stars and 7,965 forks. It is written in Python, licensed under Apache-2.0, and ranks #169 globally. It is actively maintained with the latest commit recorded on Oct 24, 2026.”
Repository usestrix/strix ↗
Primary Category agents
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 71.5K stars · ⑂ 8K forks · #169 globally
Maintenance ● Active (Last commit: Oct 24, 2026) · 507 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 90/100 · Grade A
✅
Is strix actively maintained in 2026?
Verdict: Actively Maintained

Yes, strix is actively maintained. Continuous telemetry recorded the last code commit on Oct 24, 2026 (20 days ago). Supported by 71,467 stars and 7,965 community forks, this repository holds a calculated health index of 90/100, reflecting regular maintenance (20 days ago) and active community feedback (507 open).

Commit Recency
Oct 24, 2026
20 days since last push
Issue Backlog
507 Open Issues
Active Community Feedback (507 open)
Community Backing
8K Forks
71.5K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for usestrix/strix
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Momentum

+4.4K

STARS · LAST 30 DAYS

148

PER DAY

#45

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+4.4K+13.3K
Per day1148148
Forks gained+0+608+398

strix gained 4.4K stars in the last 30 days, about 148 a day, and now has 71.5K. It is about 1 year old and has averaged roughly 71.5K stars a year. It ranks #45 among Python repositories and #169 across all languages on GitHubRepo.

Trending Record

strix has maintained a continuous presence across global trending indexes, peaking at #26. Below is the 30-day activity profile:

💡 Overview

strix is an open-source project written in Python: Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai-hacking, ai-penetration-testing. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install strix

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

strix coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with strix.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install strix using your package manager: `pip install strix`

2

Initialize your project workspace or configuration file for strix.

3

Import strix into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `strix --help` to verify successful setup.

👍 Strengths

Active community backing with 65,395 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

usestrix/strix is currently ranked #169 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#164 calesthio/OpenMontage Python ★ 73.8K Compare ↗
#165 unionlabs/union Rust ★ 73.7K Compare ↗
#166 nektos/act Go ★ 72.5K Compare ↗
#167 moby/moby Go ★ 72.3K Compare ↗
#168 cline/cline TypeScript ★ 71.5K Compare ↗
#169 usestrix/strix This Project Python ★ 71.5K
#170 FoundationAgents/MetaGPT Python ★ 71.1K Compare ↗
#171 ansible/ansible Python ★ 71K Compare ↗
#172 swiftlang/swift Swift ★ 70.6K Compare ↗
#173 microsoft/AI-For-Beginners Jupyter Notebook ★ 70.4K Compare ↗
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Frequently Asked Questions

What does strix do? +

Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.

Is strix actively maintained in 2026? +

Yes, strix is actively maintained. The latest code push was recorded on Oct 24, 2026 (20 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 71,467 stars and 507 open issues.

What language is strix written in? +

The primary language is Python. Topics include: agents, ai-hacking, ai-penetration-testing, ai-pentesting, ai-security.

How many stars does strix have? +

strix has 71,467 stars and 7,965 forks on GitHub.

How does strix rank among GitHub repositories? +

With 71,467 stars, usestrix/strix is ranked #169 globally across all repositories tracked on GitHubRepo and #45 among Python projects.

What license is strix distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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