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microsoft/PyRIT

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

Python ◇ ai-red-team MIT
★4.6KSTARS
⑂916FORKS
!135ISSUES
🏆#1,221GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for microsoft/PyRIT
CSV

Momentum

+114

STARS · LAST 30 DAYS

4

PER DAY

#195

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+28+114+360
Per day444
Forks gained+5+18+46

PyRIT gained 114 stars in the last 30 days, about 4 a day, and now has 4.6K. It is about 3 years old and has averaged roughly 1.5K stars a year. It ranks #195 among Python repositories and #1,221 across all languages on GitHubRepo.

Trending Record

PyRIT has maintained a continuous presence across global trending indexes, peaking at #1856. Below is the 30-day activity profile:

💡 Overview

PyRIT is an open-source project written in Python: The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-red-team, generative-ai, red-team-tools. 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 PyRIT

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

PyRIT 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 PyRIT.

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 PyRIT using your package manager: `pip install PyRIT`

2

Initialize your project workspace or configuration file for PyRIT.

3

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

4

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

👍 Strengths

Active community backing with 4,558 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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.

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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

microsoft/PyRIT is currently ranked #1,221 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does PyRIT do? +

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

What language is PyRIT written in? +

The primary language is Python. Topics include: ai-red-team, generative-ai, red-team-tools, responsible-ai.

Is PyRIT actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 135 open issues being tracked.

How many stars does PyRIT have? +

PyRIT has 4,558 stars and 916 forks on GitHub.

How does PyRIT rank among GitHub repositories? +

With 4,558 stars, microsoft/PyRIT is ranked #1,221 globally across all repositories tracked on GitHubRepo and #195 among Python projects.

What license is PyRIT distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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