220 projects
torvalds/linux
Linux kernel source tree
You are expected to understand and to be able to defend everything you submit. If you are unable to do so, then do not submit the resulting changes.
yt-dlp/yt-dlp
A feature-rich command-line audio/video downloader
This project strictly forbids the usage of LLMs, agents, or any other AI tools for any kind of contribution.
electron/electron
:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
there must be a human in the loop. You are responsible for reviewing, understanding, and being able to explain your contributions. AI assistance doesn't change that, and unreviewed AI-generated content will be declined.
nodejs/node
Node.js JavaScript runtime ✨🐢🚀✨
The Node.js project does not prohibit the use of AI tools in contributions, but when the contribution is generated with AI, the contributor should disclose the use of such tools
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
when translating text in this repo, please ensure that you do not use machine translation
rust-lang/rust
Empowering everyone to build reliable and efficient software.
It's fine to use LLMs to answer questions, analyze, distill, refine, check, suggest, review. But not to **create**.
immich-app/immich
High performance self-hosted photo and video management solution.
We ask you not to open PRs generated with an LLM.
debpalash/VoiceStudio
VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages.
You submit agent-assisted work as your own, under your own git identity. Don't credit agents in commits or the PR description: no `Co-authored-by:` trailer for an AI agent, no "Generated with …" line, no agent session or share links (claude.ai, chatgpt.com) and no `Claude-Session:` trailer.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
*We do not accept contributions created by fully autonomous agents*, and we may close pull requests that appear to have been generated without meaningful human involvement.
tt-a1i/archify
Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more.
AI-assisted contributions are welcome. The same scope, evidence, and accountability requirements apply to contributors and maintainers, whether work is manual or delegated to an Agent.
grafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
You must be able to explain your changes during review. Saying that content was generated by AI does not remove your responsibility for it.
code-yeongyu/oh-my-openagent
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
"It typechecks" is NOT QA. "`bun test` is green" is NOT QA. YOU MUST DRIVE THE REAL HARNESS, and then YOU MUST WRITE THE EVIDENCE TO DISK.
BurntSushi/ripgrep
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
**AI should not be used to generate comments when communicating with maintainers**. Comments are expected to be written by humans. Comments that are believed to be written by AI may be hidden without notice.
coollabsio/coolify
An open-source, self-hostable PaaS alternative to Vercel, Heroku & Netlify that lets you easily deploy static sites, databases, full-stack applications and 360+ one-click services on your own servers.
AI is allowed. However: - You must understand every change - You must verify correctness - You must ensure it follows project patterns
BerriAI/litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
**AI coding agents** (Claude Code, Copilot, Cursor, etc.): follow `AGENTS.md` and run `make format` before committing.
ghostty-org/ghostty
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
All AI usage in any form must be disclosed. You must state the tool you used (e.g. Claude Code, Cursor, Amp) along with the extent that the work was AI-assisted.
starship/starship
☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
Contributions that are overly verbose, contain unsupported or hallucinated claims, or otherwise show the hallmarks of low-effort LLM usage may be closed without further notice.
crewAIInc/crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
If your PR or issue was authored by an AI agent, coding assistant, or LLM (e.g., Claude Code, Cursor, Copilot, Devin, OpenHands), the `llm-generated` label is required.
meilisearch/meilisearch
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
We will not consider any content generated by generative AI tooling (GitHub Copilot, ChatGPT, Claude Code, Cursor, etc.) in external contributions, including: code, tests, documentation, PR descriptions, PR comments, issue descriptions, and issue comments.
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
This project accepts AI generated Pull Requests, as long as the following guidelines are met.
microsoft/VibeVoice
Open-Source Frontier Voice AI
LLM-generated code often contains redundant logic and subtle defects. Large chunks of AI-generated code will be rejected unless they have undergone rigorous human cleaning and verification.
run-llama/llama_index
LlamaIndex is the document processing platform for AI
We welcome AI-assisted contributions, but we ask you to follow some core principles and guidelines that can help make the contribution and review process smoother for both you and us maintainers.
cypress-io/cypress
Fast, easy and reliable testing for anything that runs in a browser.
AI coding assistants (such as Claude, Codex, Cursor, etc.) are increasingly common tools for developers. Contributions to Cypress may be created with or without AI assistance. AI tools are a normal part of modern development workflows, but contributors remain responsible for the changes they submit.
TanStack/query
🤖 Powerful asynchronous state management, server-state utilities and data fetching for the web. TS/JS, React Query, Solid Query, Svelte Query and Vue Query.
Only submit contributions you fully understand and can explain
mastodon/mastodon
Your self-hosted, globally interconnected microblogging community
We generally *do not encourage* AI-assisted contributions
moment/moment
Parse, validate, manipulate, and display dates in javascript.
Locale contributions are reviewed by a maintainer using the AI-assisted workflow defined in the [`locale-review` skill](.agents/skills/locale-review/SKILL.md). AI output is not treated as evidence; review conclusions remain grounded in CLDR and authoritative external sources.
paperless-ngx/paperless-ngx
A community-supported supercharged document management system: scan, index and archive all your documents
Any content — code, pull request descriptions, issue reports or comments — that was generated in whole or in part by an AI tool or agent **must be clearly disclosed as such**.
lysine-dev/okhttp
A meticulous HTTP client for the JVM, Android, and GraalVM.
We don't use LLMs or generative tools in our source code or documentation.
grpc/grpc
C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Code contributions are expected to be fully owned and understood by the human contributor. If the code was produced by generative AI, the author is expected to have reviewed and understood it in its entirety before submitting it for review.
babel/babel
🐠 Babel is a compiler for writing next generation JavaScript.
You are allowed to use LLMs or other AI tools to help you write code, but you cannot: - open a PR with entirely LLM-generated output that has had no human intervention and review. - open a PR with code that you do not understand.
curl/curl
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, MQTTS, POP3, POP3S, RTSP, SCP, SFTP, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features
We can accept code written with the help of AI into the project, but the code must still follow coding standards, be written clearly, be documented, feature test cases and adhere to all the normal requirements we have.
duckdb/duckdb
DuckDB is a high-performance analytical database system
**Autonomous agents are not allowed to be used for contributing to this project**. Pull requests that appear in violation of this will be closed, perhaps without notice.
php/php-src
The PHP Interpreter
When using LLMs to generate comments to maintainers for any purpose other than direct translation, we would highly appreciate it if you disclosed the relevant paragraphs as such via markdown quote.
llvm/llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Contributors are expected to be transparent and label contributions that contain substantial amounts of tool-generated content.
PostHog/posthog
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Understand your code, test it, and be ready to explain why it's correct and how it interacts with the rest of the system (without re-prompting an LLM).
pola-rs/polars
Extremely fast Query Engine for DataFrames, written in Rust
All AI usage in any form must be disclosed. You must state the tool(s) you used (e.g. Claude Code, Cursor, Amp) along with the extent that the work was AI-assisted.
TriliumNext/Trilium
Build your personal knowledge base with Trilium Notes
You are responsible for everything you submit, whether or not you used AI tools. Review and test generated changes, and be ready to explain them.
docker/compose
Define and run multi-container applications with Docker
Anything AI helped produce (an issue, a PR description, a review reply, a code change) gets read and edited by a human before it goes out.
servo/servo
Servo aims to empower developers with a lightweight, high-performance alternative for embedding web technologies in applications.
Contributions must not include content generated by large language models or other probabilistic tools, including but not limited to Copilot or ChatGPT.
Textualize/textual
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
This project accepts AI generated Pull Requests, as long as the following guidelines are met.
nothings/stb
stb single-file public domain libraries for C/C++
This project doesn't accept code or documentation generated by LLMs or any other forms of generative AI. We don't accept code or bug reports which has been reviewed or analyzed by AI. Do not use AI in any way, shape, or form when submitting to this repository.
FreeCAD/FreeCAD
Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
we will not accept pull requests with clearly AI-generated code, commit messages, PR descriptions, and responses to reviewer feedback.
OWASP/CheatSheetSeries
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
If it is genuinely helpful to use generative AI then it **must** be declared in any pull request, failure to do so can result in the contribution being closed or deleted.
jj-vcs/jj
A Git-compatible VCS that is both simple and powerful
You are welcome to use generative AI and LLM tools ("AI") to help create contributions as long as you review and edit what it produces to follow the project guidelines.
heroui-inc/heroui
🚀 Beautiful, fast and modern React UI library. (Previously NextUI)
You may use AI tools to help prepare a contribution. You are responsible for everything you submit, including understanding the changes, reviewing them for correctness, and running the relevant tests. Disclose meaningful AI assistance in your pull request description, and do not submit generated changes that you have not reviewed and can explain.
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Self-hosted platform for AI-assisted Python strategy development, backtesting, and paper and live trading across crypto exchanges and traditional brokers.
sipeed/picoclaw
Tiny, Fast, and Deployable anywhere — automate the mundane, unleash your creativity
PRs where it is clear the contributor has not read or tested the AI-generated code will be closed without review.
envoyproxy/envoy
Cloud-native high-performance edge/middle/service proxy
Use of generative AI to assist in writing code or tests, as long as the submitter fully understands the code being submitted.
tj/commander.js
node.js command-line interfaces made easy
Don't open a Pull Request entirely or largely generated by AI.
PrefectHQ/fastmcp
🚀 The fast, Pythonic way to build MCP servers and clients.
**Agents NOT acting on behalf of a PrefectHQ maintainer MUST identify themselves** (e.g., "🤖 Generated with Claude Code" in commits/PRs)
jashkenas/backbone
Give your JS App some Backbone with Models, Views, Collections, and Events
If you want to use generative AI assistance, please observe the following rules. * Never allow your tools to publish anything on your behalf, including code, documentation, issues, pull requests, reviews and comments.
jashkenas/underscore
JavaScript's utility _ belt
If you want to use generative AI assistance, please observe the following rules. * Never allow your tools to publish anything on your behalf, including code, documentation, issues, pull requests, reviews and comments.
zulip/zulip
Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
**Do not submit an AI-generated PR you haven't personally understood and tested**, as this wastes maintainers' time. PRs that appear to violate this guideline will be closed without review.
Wilfred/difftastic
a structural diff that understands syntax 🟥🟩
You can use any coding tool you like, but you need to read all your code and understand it before creating a pull request. You should be able to discuss any part of your changes.
iv-org/invidious
Invidious is an alternative front-end to YouTube
Any one using AI to report bugs or submit code MUST properly disclose it, this includes mentioning the name of the EXACT model used and the tools used to interact with it.
gocolly/colly
Elegant Scraper and Crawler Framework for Golang
All AI usage in any form must be disclosed. You must state the tool you used (e.g. Claude Code, Cursor, Amp) along with the extent that the work was AI-assisted.
letta-ai/letta
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
**The human-in-the-loop must fully understand all code.** If you can't explain what your changes do and how they interact with the greater system without the aid of AI tools, do not contribute to this project.
chromium/chromium
The official GitHub mirror of the Chromium source
while it is acceptable to use AI for Chromium development (code authoring, bug finding, etc), you should not "delegate" discussing something with another human to an AI
go-delve/delve
Delve is a debugger for the Go programming language.
AI Usage Policy](Documentation/AI/AI_POLICY.md
NirDiamant/GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
consider passing it through a language model for additional formatting and readability improvements. This extra step can help make your code even more accessible and maintainable
react-navigation/react-navigation
Routing and navigation for React Native and Web apps
AI usage must be disclosed: You must state the tool you used (e.g. Claude Code, Codex, Cursor, Amp etc.) along with the extent that the work was AI-assisted for any code changes you contribute.
jaegertracing/jaeger
CNCF Jaeger, a Distributed Tracing Platform
Submitting a change you cannot explain, contextualize, or justify during review.
magicuidesign/magicui
UI Library for Design Engineers. Animated components and effects you can copy and paste into your apps. Free. Open Source.
AI-friendly code generation
grpc/grpc-go
The Go language implementation of gRPC. HTTP/2 based RPC
Author Ownership and Accountability: Code contributions are expected to be fully owned and understood by the human contributor. If the code was produced by generative AI, the author is expected to have reviewed and understood it in its entirety before submitting it for review.
vectordotdev/vector
A high-performance observability data pipeline.
If a reviewer asks you a question, please answer it in your own words rather than relaying AI output.
lima-vm/lima
Linux virtual machines, with a focus on running containers
follow its "AI Contribution Rules" section
tornadoweb/tornado
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
PRs that appear to be AI-generated *and* contain clear flaws (such as failing CI) may be closed without detailed review.
elastic/kibana
Your window into all of your data
For guidelines on AI-assisted contributions, please review [AI.md](./AI.md).
apache/shardingsphere
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
AI-assisted contributions are welcome, but the human contributor remains fully responsible for the submitted work.
NVIDIA/OpenShell
OpenShell is the safe, private runtime for autonomous AI agents.
**You must understand your code.** Using AI agents to write code is not just acceptable, it's how this project works. But you must be able to explain what your changes do and how they interact with the rest of the system. If you can't, don't submit it.
rizinorg/cutter
Free and Open Source Reverse Engineering Platform powered by rizin
If you use AI tools to help prepare a code change, you must: - **Disclose** which AI tools were used and specify what they were used for. - **Verify** that the code compiles, works and is not copyrighted by somebody else. - **Avoid** fabricated code, placeholder text, or references to non-existent code.
motion-canvas/motion-canvas
Visualize Your Ideas With Code
Using generative AI to help you write code and documentation is allowed, but use it to enhance your work, not replace it. Pull requests that are a mindless copy of the output of an AI model will be rejected.
elysiajs/elysia
Ergonomic Framework for Humans
Please personally review and test all AI-generated content, understand the proposed changes and be able to respond to maintainer feedback.
amir1376/ab-download-manager
A Download Manager that speeds up your downloads
Vibe coding is not allowed. DO NOT submit AI-generated code and expect review cycles to shape it into a working implementation. If you submit a pull request, you must understand the code completely, verify that it works, and address issues yourself.
lightgbm-org/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Understand everything you submit. Review all code or documentation changes made by AI tools and make sure you understand all changes and can explain them on request, before submitting them under your name.
lichess-org/lila
♞ lichess.org: the forever free, adless and open source chess server ♞
**The human-in-the-loop must fully understand all code.** If you can't explain what your changes do and how they interact with the greater system without the aid of AI tools, do not contribute to this project.
audacity/audacity
Audio Editor
Contributors must read, review, and understand all LLM-generated code and text, including code comments, before requesting review. They remain fully accountable for their contribution and must be able to answer questions about it.
langchain-ai/langchainjs
The agent engineering platform
This document provides guidance for AI coding agents working with the LangChain.js codebase.
camel-ai/camel
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
No unreviewed LLM-generated submissions. We will close PRs that are primarily generated by LLMs or chatbots and submitted without meaningful human review, especially "vibe-coded" submissions.
asciinema/asciinema
Terminal session recorder, streamer and player 📹
If you use AI coding tools, note that in your PR description: which tool, and to what extent (e.g. "wrote the first draft, which I then reviewed and reworked"). The expectations above apply no matter how a change was produced.
ory/hydra
Internet-scale OpenID Certified™ OpenID Connect and OAuth2.1 provider that integrates with your user management through headless APIs. Solve OIDC/OAuth2 user cases over night. Consume as a service on Ory Network or self-host. Trusted by OpenAI and many others for scale and security. Written in Go.
AI can be a valuable aid for writing code, documentation, and tests. However, to maintain the quality and reliability of Ory Hydra, please follow these guidelines: - When submitting a pull request or issue that involved AI assistance, mention the tools you used and the extent of their involvement.
transact-rs/sqlx
🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
Submitting any content containing clear hallmarks of generative AI.
vitest-dev/vitest
Next generation testing framework powered by Vite.
Only submit contributions you fully understand and can explain
apache/arrow
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Please review our [AI-generated code guidance](https://arrow.apache.org/docs/dev/developers/overview.html#ai-generated-code) before submitting AI-assisted contributions.
coder/coder
Secure environments for developers and their agents
Using AI to help with contributions is acceptable, but only if the [AI Contribution Guidelines](./contributing/AI_CONTRIBUTING.md) are followed.
systemd/systemd
The systemd System and Service Manager
You may use generative AI and LLM tools ("AI") to help create contributions, as long as you review and edit what they produce so it follows the project guidelines.
rust-lang/rust-analyzer
A Rust compiler front-end for IDEs
We kindly ask you to disclose usage of AI tools in your contributions. **AI should not be used to generate comments when communicating with maintainers**. We expect comments on our projects to be written by humans.
clap-rs/clap
A full featured, fast Command Line Argument Parser for Rust
We do not allow autonomous agents to be used for contributing to this project. We will close any pull requests that we believe were created **without meaningful involvement** from the contributor.
redox-os/redox
Mirror of https://gitlab.redox-os.org/redox-os/redox
Redox OS does not accept contributions generated by LLMs
federico-busato/Modern-CPP-Programming
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
**AI-generated content is not allowed.** All contributed text, code examples, explanations, and images must be authored by the contributor.
quarkusio/quarkus
Quarkus: Supersonic Subatomic Java.
AI may be used to **assist your development** — for example drafting code, writing documentation, or proposing fixes — as long as **you understand, validate**, and **take responsibility for the results**.
travisvn/awesome-claude-skills
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows — particularly Claude Code
Due to the influx of PRs, there is a requirement now that the PR not be explicitly generated / submitted with AI-assistance.
eigent-ai/eigent
Eigent: The Open Source Cowork Desktop - Local and Free Alternative to Claude Cowork and Codex
No unreviewed LLM-generated submissions. We will close PRs directly that are primarily generated by LLMs or chatbots and submitted without meaningful human review especially "vibe-coded" submissions.
musescore/MuseScore
MuseScore is an open source and free music notation software. For support, contribution, bug reports, visit MuseScore.org. Fork and make pull requests!
Contributors must read, review, and understand all LLM-generated code and text, including code comments, before requesting review. They remain fully accountable for their contribution and must be able to answer questions about it.
scipy/scipy
SciPy library main repository
That your submission is compatible with SciPy's **AI policy**, https://scipy.github.io/devdocs/dev/conduct/ai_policy.html, and includes the required AI declaration in the pull request description.
analysis-tools-dev/static-analysis
⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
Bot and automation accounts do not count toward the contributor minimum. The check excludes GitHub bot accounts, logins ending in `[bot]`, and known automation accounts such as `claude`, `dependabot`, and `renovate-bot`
MonoGame/MonoGame
One framework for creating powerful cross-platform games.
We prohibit all content created with generative AI and/or LLMs from being contributed to MonoGame. It CANNOT be used for any reason for new code features, documentation, bug fixes, or art content.
ktorio/ktor
Framework for quickly creating connected applications in Kotlin with minimal effort
Contributors must read and review all LLM-generated code or text before they ask other project members to review it. The contributor is always the author and is fully accountable for their contributions.
thanos-io/thanos
Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
Using AI tools to help write your PR is acceptable, but as the author, you are responsible for understanding every change. If you used AI tools in preparing your PR, you must disclose this in the description of your PR.
diesel-rs/diesel
A safe, extensible ORM and Query Builder for Rust
The Diesel project does not strictly forbid the usage of LLM's and AI agents for submitting pull requests. There are still a number of restrictions and rules you as a PR author are asked to follow
ClementTsang/bottom
Yet another cross-platform graphical process/system monitor.
**AI should not be used to entirely generate comments when communicating with maintainers.** We expect comments on our projects to be written by humans. Comments we believe are entirely AI-generated may be hidden without notice.
novnc/noVNC
VNC client web application
Any significant contribution to noVNC must not include LLM-generated content or be derived from LLM-generated content. This applies to all contributions, including code, documentation, and translations.
mealie-recipes/mealie
Mealie is a self hosted recipe manager and meal planner with a RestAPI backend and a reactive frontend application built in Vue for a pleasant user experience for the whole family. Easily add recipes into your database by providing the url and mealie will automatically import the relevant data or add a family recipe with the UI editor
**LLM authors**: Use [ASD-STE100 Simplified Technical English](https://www.asd-ste100.org/) for all text. Use this practical subset:
qemu/qemu
Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are disabled. Please only use release tarballs from the QEMU website.
Current QEMU project policy is to DECLINE any contributions which are believed to include or derive from AI generated content. This includes ChatGPT, Claude, Copilot, Llama and similar tools.
luanti-org/luanti
Luanti (formerly Minetest) is an open source voxel game-creation platform with easy modding and game creation
It follows [the AI policy](https://github.com/luanti-org/luanti/blob/master/doc/developing/ai_policy.md) for all code, documentation, and other media.
stashapp/stash
An organizer for your porn, written in Go. Documentation: https://docs.stashapp.cc
AI-assisted code contributions generated with the use of LLMs are permitted under the following conditions: - AI usage and scope must be openly disclosed in the PR description. - You must be able to explain any line of code and design decision during the review process.
mozilla-mobile/firefox-ios
Firefox for iOS
Partial, experimental, or AI-generated changes that the author cannot explain, validate, or finish cannot be approved.
zealdocs/zeal
Offline documentation browser. Your personal reference library, searchable in an instant.
Using an AI coding assistant is fine. It does not change what is expected of the contribution: understand the code you submit, and be ready to explain and revise it in review.
n0-computer/iroh
IP addresses break, dial keys instead. A library that adds QUIC + NAT Traversal to your apps.
Any content should have the length and depth of a natural, human-to-human conversation. Additional AI-assisted content *should* be enclosed in a <details>...</details> section and the issue should be meaningful without it.
dlvhdr/gh-dash
A rich terminal UI for GitHub that doesn't break your flow.
No LLM-generated content, whether it be code or prose.
Kludex/starlette
The little ASGI framework that shines. 🌟
You may use AI tools when contributing to Starlette. You remain responsible for every contribution you submit.
grpc/grpc-rust
A native gRPC client & server implementation with async/await support.
If the code was produced by generative AI, the author is expected to have reviewed and understood it in its entirety before submitting it for review.
LMCache/LMCache
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
For AI-assisted changes, the human must understand and be able to defend the change end to end; a review performed only by the agent that wrote the change does not satisfy this gate.
crossplane/crossplane
The Cloud Native Control Plane
Contributors are responsible for the entirety of their submission, no matter what tooling they used to produce it. - **Understand every line you are changing:** If you cannot explain the purpose and impact of every change without the assistance of an agent, it's not ready for submission.
ankidroid/Anki-Android
AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.
Before you have 3 merged pull requests, you may **not** use any AI tools to produce contributions for AnkiDroid. This includes code, documentation, and GitHub comments (including spelling and grammar corrections).
grpc/grpc-java
The Java gRPC implementation. HTTP/2 based RPC
If the code was produced by generative AI, the author is expected to have reviewed and understood it in its entirety before submitting it for review.
mrkai77/Loop
Window management made elegant.
All AI usage in any form must be disclosed. You must state the tool you used (for example, Claude, ChatGPT, GitHub Copilot, Cursor) and describe how the work was AI-assisted.
nasa/fprime
F´ - A flight software and embedded systems framework
contributors **must disclose all generative AI usage**. This is not meant to discourage AI use, but to ensure that maintainers and reviewers have the necessary context to evaluate contributions effectively.
libvips/libvips
A fast image processing library with low memory needs.
We do not accept contributions containing code or other content made, in whole or in part, using generative AI tools.
quickwit-oss/quickwit
Cloud-native OSS search engine for observability
If a reviewer asks you a question, please answer it in your own words rather than relaying AI output.
linkerd/linkerd2
Ultralight, security-first service mesh for Kubernetes. Main repo for Linkerd 2.x.
The human author submitting a contribution remains entirely and solely accountable for its content, correctness, security, and runtime functionality. Utilizing an LLM or AI tool does not shift, diminish, or share accountability with the software tool, model provider, or AI platform.
yargs/yargs
yargs the modern, pirate-themed successor to optimist.
Don't open a Pull Request entirely or largely generated by AI.
Kludex/uvicorn
An ASGI web server, for Python. 🦄
You may use AI tools when contributing to Uvicorn. You remain responsible for every contribution you submit.
nextcloud/all-in-one
📦 The official Nextcloud installation method. Provides easy deployment and maintenance with most features included in this one Nextcloud instance.
AI output must be quality assured by the human, i.e. reviewed, cleaned up, and tested before submission.
polarsource/polar
Polar — A billing platform for the intelligence era
We welcome the use of AI tools and Large Language Models to assist with development. However, **all code must be tested and executed in your local environment** before submission.
pypa/pip
The Python package installer
If you used LLM tools during development, you may still submit – but you must remove any LLM co-author tags and take full ownership of every line.
py-pdf/pypdf
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
You may ask AI (i.e., LLMs) for (coding) assistance. However, you should ensure that you understand what it tells you and whether it makes sense. You are responsible for any code you contribute. **AI should not be used to generate comments when communicating with maintainers**.
mongodb/node-mongodb-native
The official MongoDB Node.js driver
This file provides guidance to AI coding agents (Claude Code, Codex, Copilot, Cursor, Aider, etc.) when working with code in this repository.
home-assistant/home-assistant.io
:blue_book: Home Assistant User documentation
All contributions must be reviewed and understood by the contributor before submission. You should be able to explain every change in a pull request you submit.
leanprover/lean4
Lean 4 programming language and theorem prover
Any assistance by Generative AI contributing to the final PR must be noted in the PR description. Authors are responsible for manually checking these contributions before opening a PR. PRs authored solely by AI are not welcome and may be closed without further comment.
pycaret/pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
LLM is advisory. LLM proposes; user approves; deterministic engine executes.
usekaneo/kaneo
⚡ Project management that doesn't become the project. Boards, Gantt charts, and GitHub integration. Self-host it or use Kaneo Cloud.
Only submit contributions you fully understand and can explain
xonsh/xonsh
LLM-generated tests: when Claude creates a substantial block of tests for a module, place them in a `test_<module>_llm.py` file whose name mirrors the module under test
modelcontextprotocol/modelcontextprotocol
Specification and documentation for the Model Context Protocol
If you are using **any kind of AI assistance** to contribute to Model Context Protocol, it must be disclosed in the pull request or issue.
FyroxEngine/Fyrox
3D and 2D game engine written in Rust
- **No AI-generated slop** - Fyrox is a handcrafted game engine, there's no place for AI-generated code. All pull requests suspected in AI generation won't be accepted.
aws/serverless-application-model
The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
While using generative AI is allowed when contributing to this project, please keep the following points in mind: * Review all code yourself before you submit it. * Understand all the code you have submitted in order to answer any questions the maintainers could have when reviewing your PR.
openclaw/clawhub
Skill + Plugin Registry for OpenClaw
AI-assisted contributions are welcome. When submitting AI-generated or AI-assisted code: - Note it in the PR description. - Describe the level of testing you applied. - Include prompts if useful for reviewers. - Confirm that you understand and can maintain the code.
databendlabs/databend
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
If you cannot explain the change in your own words, it is not ready to submit.
prusa3d/PrusaSlicer
G-code generator for 3D printers (RepRap, Makerbot, Ultimaker etc.)
This is specifically aimed at suspected AI-generated content.
nhost/nhost
The Open Source Firebase Alternative with GraphQL.
Contributions with the help of AI are permitted, but you are ultimately responsible for the quality of your submission and for ensuring it follows our contributing guidelines. The PR description must be written in your own words.
OctoPrint/OctoPrint
OctoPrint is the snappy web interface for your 3D printer!
This project does **not** accept pull requests that are fully or predominantly AI-generated. AI tools may be utilized solely in an assistive capacity.
pdfcpu/pdfcpu
PDF tooling for Go and the command line.
Pull requests, patches, tests and documentation created substantially by AI tools are not accepted.
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
Contributions generated wholly or in part by generative tools, whether AI-based or not, are acceptable in MONAI so long as the submitting author can take responsibility for the content as if they wrote it themselves.
redpanda-data/connect
Fancy stream processing made operationally mundane
AI-generated code counts in full: it needs *more* review, not less, and the limit is not a license to autogenerate past it.
librosa/librosa
Python library for audio and music analysis
You are the author of your Pull Request, not the AI. If a maintainer asks why your code is the way it is, replying "that's just what the AI produced" is not acceptable. You must completely understand, be able to explain, and technically stand behind every line of code you submit.
nvim-tree/nvim-tree.lua
A file explorer tree for neovim written in lua
AI generated PRs have low, or even non-existent entry level. Human generated PRs require you to be motivated, do research, familiarise yourself with code, make effort to write the code and test it.
archlinux/archinstall
Arch Linux installer - guided, templates etc.
Understand your changes. If you submit AI-assisted code, you must fully understand every change, the code paths involved, and their impact.
fluxcd/flux2
Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.
Using AI Agents to help write your PR is acceptable, but as the author, you are responsible for understanding the code and the documentation you submit. Please review all the AI-generated content and make sure it follows the guidelines in this document before submitting your PR.
tinyauthapp/tinyauth
The tiniest OpenID Certified™ authorization and authentication server you have ever seen.
All generated content should be completely understood by the account holder: The human who utilized the large language model to generate content must have a thorough understanding of it.
AnalogJ/scrutiny
Hard Drive S.M.A.R.T Monitoring, Historical Trends & Real World Failure Thresholds
**Pull requests created by AI must have been fully verified with human use.** AI must not create hypothetically correct code that hasn't been tested.
getarcaneapp/arcane
Modern Docker Management, Designed for Everyone
All AI usage in any form must be disclosed. You must state the tool you used (e.g., Claude Code, Cursor, GitHub Copilot, ChatGPT) along with the extent that the work was AI-assisted.
hatchet-dev/hatchet
🪓 An orchestration engine for background tasks, AI agents, and durable workflows
**Pull requests created in any way by AI may not be opened for issues marked as "good first issue".** These issues are intended for new contributors to learn the codebase, and are thus wasted if AI solves them.
osaurus-ai/osaurus
Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
For every change that can affect a runtime, parser, tool call, agent loop, subagent/delegation path, cache, model setting, or user-facing execution lifecycle, source inspection and focused unit tests are necessary but never sufficient:
zeek/zeek
Zeek is a powerful network analysis framework that is much different from the typical IDS you may know.
**No AI-generated media is allowed (art, images, videos, audio, etc.).** Text, code, and Pcaps (see below) are the only acceptable AI-generated content, per the other rules in this policy.
guaguastandup/zotero-pdf2zh
PDF2zh for Zotero | Zotero PDF中文翻译插件
也请开发者暂时不要对本仓库提交贡献，因为无法和新版本进行合并。
Gentleman-Programming/gentle-ai
Gentle-AI configures the AI coding agents you already use: Claude Code, Cursor, OpenCode, Codex, Pi, and more. Choose persistent memory, Organic-Driven Development, curated skills, MCP servers, personas, and optional bounded review. Open source, no agent lock-in.
AI-assisted contributions are permitted. The human contributor must understand, review, validate, and take full responsibility for everything they submit.
Qiskit/qiskit
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
If you intend to use generative AI, ensure you abide by the [Generative AI policy](docs/devguide/contributing.md#use-of-generative-ai).
prefix-dev/pixi
Powerful system-level package manager for Linux, macOS and Windows written in Rust – building on top of the Conda ecosystem.
Write in your own voice, don't have an AI write this.
stanfordnlp/stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
If you have used an LLM to generate this PR, please also do the work understanding the problem, considering alternatives, and rebuilding new models (if relevant) to verify that there is an improvement.
rukamori/ArchiveTune
🌸 The Cutest Music Player With Support Local File and Youtube Music for Android!
This project strictly forbids the usage of LLMs, agents, or any other AI tools for any kind of contribution.
endless-sky/endless-sky
Space exploration, trading, and combat game.
AI-generated/assisted content is forbidden in Endless Sky development.
magnitudedev/magnitude
Open source inference engine that tunes its kernels on your hardware to find the fastest way to run each model. 2x faster than Ollama. Works on Apple Silicon, NVIDIA, AMD, Intel, or just a CPU.
It is expected that contributions involve AI-generated content. However, to facilate useful discussion, issues and PRs should include human-written descriptions. Ideally, designate human and AI written sections clearly.
sysadminsmedia/homebox
A continuation of HomeBox the inventory and organization system built for the Home User
**We do not accept AI-only pull requests.** A pull request where an AI tool or agent produced the change and a human just submitted it — or where an agent opened it on its own — will be closed without review.
veloren/veloren
[mirror of https://gitlab.com/veloren/veloren] An open world, open source voxel RPG inspired by Dwarf Fortress and Cube World. This repository is a mirror. Please submit all PRs and issues on our GitLab page.
Content generated by large language models or similar technology, such as Copilot, ChatGPT, or Llama, is presumed to be tainted content, and must not be committed.
TigerVNC/tigervnc
High performance, multi-platform VNC client and server
Any significant contribution to TigerVNC must not include LLM-generated content or be derived from LLM-generated content. This applies to all contributions, including code, documentation and translations.
conda/conda
A system-level, binary package and environment manager running on all major operating systems and platforms.
You're welcome to use generative AI tools when contributing to conda. However, please keep the following in mind: - You are responsible for all of your contributions. Review and understand any AI-generated content before including it in a Pull Request.
projectcalico/calico
Cloud native networking and network security
You need to be able to explain what your change does and why, in your own words. If you can't, expect the reviewer to close the PR.
NVIDIA-NeMo/Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Disclose AI assistance in the pull request description when AI tools create or substantially modify code, tests, docs, issues, or comments.
netalertx/NetAlertX
Centralized network visibility and continuous asset discovery. Monitor devices, detect change, and stay aware across distributed networks.
Use of AI-assisted tools is permitted, provided all generated code is reviewed, understood, and verified before submission.
meta/pyrefly
A fast type checker and language server for Python
We always expect a human in the loop who understands and can explain any content that AI generates on their behalf.
hydro-dev/Hydro
Hydro - Next generation high performance online-judge platform - 新一代高效强大的信息学在线测评系统 (a.k.a. vj5)
DO NOT USE MACHINE TRANSLATION.
facebook/pyrefly
A fast type checker and language server for Python
We always expect a human in the loop who understands and can explain any content that AI generates on their behalf.
vespa-engine/vespa
The AI search platform
we require that you - Are able to explain the issue or change in your own words. - That you have reviewed any AI-generated code and can explain it in your own words.
agones-dev/agones
Dedicated Game Server Hosting and Scaling for Multiplayer Games on Kubernetes
Using AI tools to help write your PR is acceptable, but as the author, you are responsible for understanding every change. If you used AI tools in preparing your PR, you must disclose this in the description of your PR.
No LLMs for patches / pull requests.
flashinfer-ai/flashinfer
FlashInfer: Kernel Library for LLM Serving
We support AI-assisted contributions, but we expect authors to understand the idea and rationale of their changes. Reviewers may raise questions about the design — especially when the code touches a relatively durable area of the library — and if the author cannot walk through the rationale upon being asked, the PR submission may be rejected.
Andyyyy64/whichllm
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
AI-assisted code is welcome. Use the tools that help you move faster. Working code wins.
GreptimeTeam/greptimedb
The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.
The PR author should **understand the core ideas** behind the implementation **end-to-end**, and be able to justify the design and code during review.
aws/aws-sam-cli
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
While using generative AI is allowed when contributing to this project, please keep the following points in mind: * Review all code yourself before you submit it. * Understand all the code you have submitted in order to answer any questions the maintainers could have when reviewing your PR.
Tautulli/Tautulli
A Python based monitoring and tracking tool for Plex Media Server.
Automated AI-generated contributions without human review are not allowed and will be rejected.
scikit-image/scikit-image
Image processing in Python
If you want to make use of LLMs in a significant way and have your contributions reviewed, safest is to **check in with us first** to discuss your strategy.
ocaml/ocaml
The core OCaml system: compilers, runtime system, base libraries
See the dedicated [AI.md](AI.md).
GoogleCloudPlatform/agent-starter-pack
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
See [GEMINI.md](./GEMINI.md) for comprehensive AI agent guidance
google/elephant-goldfish-model
Open-source skills for designing and reviewing software with AI agents
purely autonomous contributions are not accepted; human contributors must review, understand, and explain every submitted change.
sebastianbergmann/recursion-context
Provides functionality to recursively process PHP variables
Submitting a (largely) AI-generated pull request will lead to you being banned from this project and repository.
nteract/papermill
📚 Parameterize, execute, and analyze notebooks
the resulting contribution is the responsibility of the contributor. We value good code, concise and accurate documentation, and avoiding unnecessary code churn. Discretion, good judgment, and critical thinking are the foundation of all good contributions, regardless of the tools used in their creation.
valhalla/valhalla
Open Source Routing Engine for OpenStreetMap
While we absolutely accept AI usage for Valhalla (and its related projects), we require the following guidelines to be followed: 1. The human developer understood every line of code written and verifies that the proposed implementation is actually working
KunAgent/Kun
Local-first AI agent workspace for coding, writing, design, research, and automation — one runtime for desktop GUI and TUI.
Before committing, run the smallest checks that cover the change. Cross-layer contracts, runtime behavior, settings, providers, and packaging changes usually need `npm run typecheck`, relevant `vitest` coverage, and `npm run build`.
cactus-compute/cactus
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.
AI-Generated Code: Do not blindly PR AI slop, this codebase is very complex, they miss details.
asciimoo/hister
Your own search engine
All AI usage in any form must be disclosed. You must state the tool you used (e.g. Claude Code, Cursor, Amp) along with the extent that the work was AI-assisted.
Redot-Engine/redot-engine
Redot Engine – Multi-platform 2D and 3D game engine
Purely AI-generated artwork and graphics are not permitted anywhere in this repository or places governed by this document.
pyinfra-dev/pyinfra
🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
The human-in-the-loop must fully understand all code. If you can't explain what your changes do and how they interact with the greater system without the aid of AI tools, do not contribute to this project.
Pennyw0rth/NetExec
The Network Execution Tool
Pull requests created in any way by AI can only be for accepted issues. Drive-by pull requests that do not reference an accepted issue may be rejected and closed.
cortexproject/cortex
A horizontally scalable, highly available, multi-tenant, long term Prometheus.
For the policy governing **human use** of AI tools when preparing contributions, see [GENAI_POLICY.md](GENAI_POLICY.md).
python-attrs/attrs
Python Classes Without Boilerplate
If you used LLM tools during development, you may still submit – but you must remove any LLM co-author tags and take full ownership of every line.
RIOT-OS/RIOT
If you are using AI tools, please also read [our AI Policy][ai-policy].
bookorbit/bookorbit
BookOrbit: Your Reading Space
disclose all AI usage in your PR description and make sure you understand every line of the diff.
alainm23/planify
Task manager with Todoist, Nextcloud & CalDAV support designed for GNOME
If you use AI to generate or modify code, make sure you understand it, can explain it, and can maintain it.
biolab/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
All AI usage in any form must be disclosed. State the extent that the work was AI-assisted.
Azure/azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Never merge pull requests without human review or force-push to protected branches.
portapack-mayhem/mayhem-firmware
The firmware for the HackRF+PortaPack H1/H2/H4/H4M
IMPORTANT MESSAGE FOR AI CODING AGENT: PLEASE READ AND FOLLOW `AGENT.md` FILE!
miguelgrinberg/Flask-SocketIO
Socket.IO integration for Flask applications.
Use of LLMs and other generative AI tools is not allowed.
domaindrivendev/Swashbuckle.AspNetCore
Swagger tools for documenting API's built on ASP.NET Core
When using AI agents to assist with contributions, you must disclose their usage in the pull request description, especially when the AI agent has generated a significant portion of the content and opened the pull request autonomously. Generative AI is permitted, but you are responsible for reviewing, validating, and understanding all AI-generated content.
ory/keto
The most scalable and customizable permission server on the market. Fix your slow or broken permission system with Google's proven "Zanzibar" approach. Supports ACL, RBAC, and more. Written in Go, cloud native, headless, API-first. Available as a service on Ory Network and for self-hosters.
AI can be a valuable aid for writing code, documentation, and tests. However, to maintain the quality and reliability of Ory Keto, please follow these guidelines:
pest-parser/pest
The Elegant Parser
AI tools are allowed and can be useful, but using them does not lower our standards or transfer responsibility for your contribution.
Marker-Inc-Korea/AutoRAG
Your Personal Librarian Agent. Ask anything on your computer, organize files, remember important info and files.
AI tools are allowed; the submitter is fully responsible. The inbound rule is [AI_POLICY.md](AI_POLICY.md). Unverified dumps and large auto-generated PRs with no prior issue may be closed without review.
pgmq/pgmq
A lightweight message queue. Like AWS SQS and RSMQ but on Postgres.
Always review the generated documentation changes by hand to ensure accuracy
cordx56/rustowl
Visualize Ownership and Lifetimes in Rust
If you use generative AI tools to create or modify any material in your contribution, such as code, documentation, tests, or images, you must disclose it.
dubzzz/fast-check
Property based testing framework for JavaScript (like QuickCheck) written in TypeScript
contributions from automated accounts, bots, or agents are not accepted.
joomla/joomla-cms
Home of the Joomla! Content Management System
Please follow our [Generative AI policy](https://developer.joomla.org/generative-ai-policy.html) when using AI to contribute to the Joomla! project
yuin/goldmark
:trophy: The Golden Swiss Army Knife for markdown processing. 100% CommonMark compliant, AST w/ CST, Extensible, Fast, CJK-friendly.
A significant proportion of the AI-generated Pull Requests received so far have not been suitable for merging.
streetcomplete/StreetComplete
Easy to use OpenStreetMap editor for Android and iOS
When using AI assistance, you must always state the tool you used and in what capacity and extent you used it to generate code.
pomerium/pomerium
Pomerium is an identity and context-aware access proxy.
**The human-in-the-loop must fully understand all code.** If you can't explain what your changes do and how they interact with the greater system without the aid of AI tools, do not contribute to this project.
nibzard/awesome-agentic-patterns
A curated catalogue of awesome agentic AI patterns
AI tools are welcome for drafting, editing, summarizing, research assistance, schema compliance checks, and code help, provided the contributor has reviewed the result carefully and can defend it during review.
f3d-app/f3d
Fast and minimalist 3D viewer.
This is unacceptable and you will be warned and then BANNED on repeated offenses. The generated content will be deleted when possible. Use your own voice.
You must not share projects that mostly consist of code written by "generative AI"-tools (including services such as *Claude*, *OpenAI Codex*).
Debian neither endorses nor prohibits the use of generative AI tools in the development, maintenance, or documentation of software, packaging, documentation, and other media published within the Debian Project.
You MAY use AI assistance for contributing to Fedora, as long as you follow the principles described below.
It is expressly forbidden to contribute to Gentoo any content that has been created with the assistance of Natural Language Processing artificial intelligence tools.
Code generated by a large language model or similar technology, such as GitHub/Microsoft's Copilot, OpenAI's ChatGPT, or Facebook/Meta's Code Llama, is presumed to be tainted code, and must not be committed without prior written approval by core.
No projects match the current filters.