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microsoft/PyRIT

Open-source AI red teaming toolkit from Microsoft. Test generative AI systems with automated scans, adaptive multi-turn attacks, and a web UI.

Python ◇ ai-attacks MIT
★4.8KSTARS
⑂1KFORKS
!263ISSUES
🏆#3,059GLOBAL RANK
🔥41DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

PyRIT is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), microsoft/PyRIT has accumulated 4,788 GitHub stars and 1,046 forks. It is written in Python, licensed under MIT, and ranks #3,059 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
Repository microsoft/PyRIT ↗
Primary Category ai attacks
Language & Stack Python
Software License MIT
Community Traction ★ 4.8K stars · ⑂ 1K forks · #3,059 globally
Maintenance ● Active (Last commit: Nov 11, 2026) · 263 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: 95/100 · Grade A+
✅
Is PyRIT actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, PyRIT is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (2 days ago). Supported by 4,788 stars and 1,046 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (263 open).

Commit Recency
Nov 11, 2026
2 days since last push
Issue Backlog
263 Open Issues
Active Community Feedback (263 open)
Community Backing
1K Forks
4.8K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for microsoft/PyRIT
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Momentum

+215

STARS · LAST 30 DAYS

7

PER DAY

#472

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+127+215+630
Per day1877
Forks gained+77+123+52

PyRIT gained 215 stars in the last 30 days, about 7 a day, and now has 4.8K. It is about 3 years old and has averaged roughly 1.6K stars a year. It ranks #472 among Python repositories and #3,059 across all languages on GitHubRepo.

Trending Record

PyRIT has maintained a continuous presence across global trending indexes, peaking at #680. 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.

⇄ 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

microsoft/PyRIT is currently ranked #3,059 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,054 JabRef/jabref Java ★ 4.8K Compare ↗
#3,054 opnsense/core PHP ★ 4.8K Compare ↗
#3,056 unchihugo/FluentFlyout C# ★ 4.8K Compare ↗
#3,057 pytorch/ignite Python ★ 4.8K Compare ↗
#3,057 keiyoushi/extensions-source Kotlin ★ 4.8K Compare ↗
#3,059 microsoft/PyRIT This Project Python ★ 4.8K
#3,059 ydb-platform/ydb C++ ★ 4.8K Compare ↗
#3,061 kotest/kotest Kotlin ★ 4.8K Compare ↗
#3,062 formkit/formkit TypeScript ★ 4.8K Compare ↗
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Frequently Asked Questions

What does PyRIT do? +

Open-source AI red teaming toolkit from Microsoft. Test generative AI systems with automated scans, adaptive multi-turn attacks, and a web UI.

Is PyRIT actively maintained in 2026? +

Yes, PyRIT is actively maintained. The latest code push was recorded on Nov 11, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 4,788 stars and 263 open issues.

What language is PyRIT written in? +

The primary language is Python. Topics include: ai-attacks, ai-evals, ai-evaluation, ai-evaluation-tools, ai-red-team.

How many stars does PyRIT have? +

PyRIT has 4,788 stars and 1,046 forks on GitHub.

How does PyRIT rank among GitHub repositories? +

With 4,788 stars, microsoft/PyRIT is ranked #3,059 globally across all repositories tracked on GitHubRepo and #472 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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