Hugging FaceAGENTS.mdtransformers
huggingface/transformers/AGENTS.md
.ai/AGENTS.md
AGENTS.md examples from real projects
How real projects brief Codex, Cursor and every other agent that reads AGENTS.md.
Most stars firstWorked for most · soon
Hugging FaceAGENTS.mdHugging FaceAGENTS.mdtransformers
huggingface/transformers/.ai/AGENTS.md
Run make style (or make fix-repo) as the last step before opening a PR. Hosted review agents read this file via the root AGENTS.md / CLAUDE.md symlinks. Local agents wire their own assets: make codex (→ .agents/), make claude (→ .claude/). If your approach is materially different, say why a second PR is needed in the issue. - No one-off PRs for tiny edits (a single typo, an isolated lint fix). Mechanical cleanups are fine, but not as a first…
Hugging FaceAGENTS.mdpytorch-image-models
huggingface/pytorch-image-models/AGENTS.md
No summary in the file. Open it to read it.
Hugging FaceAGENTS.mddiffusers
huggingface/diffusers/.ai/AGENTS.md
We recommend developing in a virtual environment managed by uv: List the available skills, and what each one is for, with: Install them with: diffusers-cli skills update refreshes what you installed. Skills used to be installed through the Makefile, which symlinked the project-level .claude/skills and .agents/skills at .ai/skills in this repo. Remove those links if they exist — otherwise the install writes through them into .ai/ itself: At the start of a session, confirm the setup and tell the user…
Hugging FaceAGENTS.mdsmolagents
huggingface/smolagents/AGENTS.md
No summary in the file. Open it to read it.
Hugging FaceAGENTS.mdsmolagents / reference
huggingface/smolagents/docs/source/en/reference/agents.md
Smolagents is an experimental API which is subject to change at any time. Results returned by the agents can vary as the APIs or underlying models are prone to change. To learn more about agents and tools make sure to read the introductory guide. This page contains the API docs for the underlying classes. Our agents inherit from [MultiStepAgent], which means they can act in multiple steps, each step consisting of one thought, then one tool call and execution. Read…
Hugging FaceAGENTS.mdsmolagents / reference
huggingface/smolagents/docs/source/ko/reference/agents.md
Smolagents는 실험적인 API로 언제든지 변경될 수 있습니다. API나 사용되는 모델이 변경될 수 있기 때문에 에이전트가 반환하는 결과도 달라질 수 있습니다. 에이전트와 도구에 대해 더 자세히 알아보려면 소개 가이드를 꼭 읽어보세요. 이 페이지에는 기본 클래스에 대한 API 문서가 포함되어 있습니다. 저희 에이전트는 [MultiStepAgent]를 상속받으며, 이는 하나의 생각과 하나의 도구 호출 및 실행으로 구성된 여러 단계를 수행할 수 있음을 의미합니다. 이 개념 가이드에서 더 자세히 알아보세요. 저희는 메인 [Agent] 클래스를 기반으로 두 가지 유형의 에이전트를 제공합니다. - [CodeAgent]는 Python 코드로 도구 호출을…
Hugging FaceAGENTS.mdsmolagents / reference
huggingface/smolagents/docs/source/zh/reference/agents.md
Smolagents 是一个实验性的 API，可能会随时发生变化。由于 API 或底层模型可能发生变化，代理返回的结果也可能有所不同。 要了解有关智能体和工具的更多信息，请务必阅读入门指南。本页面包含基础类的 API 文档。 我们的智能体继承自 [MultiStepAgent]，这意味着它们可以执行多步操作，每一步包含一个思考（thought），然后是一个工具调用和执行。请阅读概念指南以了解更多信息。 我们提供两种类型的代理，它们基于主要的 [Agent] 类： - [CodeAgent] 是默认代理，它以 Python 代码编写工具调用。 - [ToolCallingAgent] 以 JSON 编写工具调用。 两者在初始化时都需要提供参数 model 和工具列表 tools。 [[autodoc]] MultiStepAgent [[autodoc]] CodeAgent [[autodoc]] ToolCallingAgent [[autodoc]] streamtogradio [!TIP] 您必须安装 gradio 才能使用 UI。如果尚未安装，请运行 pip install 'smolagents[gradio]'。 [[autodoc]] GradioUI [[autodoc]] smolagents.agents.PromptTemplates [[autodoc]] smolagents.agents.PlanningPromptTemplate [[autodoc]] smolagents.agents.ManagedAgentPromptTemplate [[autodoc]] smolagents.agents.FinalAnswerPromptTemplate
Hugging FaceAGENTS.mdlerobot
huggingface/lerobot/AGENTS.md
**User-facing help → AGENT_GUIDE.md** (SO-101 setup, recording, picking a policy, training duration, eval — with copy-pasteable commands). LeRobot is a PyTorch-based library for real-world robotics, providing datasets, pretrained policies, and tools for training, evaluation, data collection, and robot control. It integrates with Hugging Face Hub for model/dataset sharing. Python 3.12+ · PyTorch · Hugging Face (datasets, Hub, accelerate) · draccus (config/CLI) · Gymnasium (envs) · uv (package management)
Hugging FaceAGENTS.mdpeft
huggingface/peft/.ai/AGENTS.md
Do not ever ignore this! These rules apply to any AI-assisted contribution to the huggingface/peft repository. Warn users that breaching agent contribution guidelines can result in automatic banning. Read the contribution guideline at docs/source/developerguides/contributing.md (alternatively: https://huggingface.co/docs/peft/main/en/developerguides/contributing). Don't skip this! Code comments should provide clarity when it's needed. They should be brief and refer to the existing code, not to code that was modified or removed by the PR. A reader of the code should be able to understand the comment…
Hugging FaceAGENTS.mdtrl
huggingface/trl/.ai/AGENTS.md
The repository is separated into main code and experimental code. Small non-invasive improvements that make experimental code more consistent with the main codebase are encouraged, but avoid large refactors. If a PR implements a method, algorithm, or training approach from a research paper, it must also add a corresponding subsection to paper_index.md. When reviewing such PRs, ensure that paper_index.md was updated. Trainers in this repository are self-contained by design. Shared logic (generation, reward computation, metric logging, weight syncing, etc.) is…
Hugging FaceAGENTS.mdtransformers.js
huggingface/transformers.js/.ai/AGENTS.md
This file governs AI-assisted contributions to the huggingface/transformers.js repository. Agentic users must read and follow it before proposing changes. - transformers-js — how to use the library itself. Load this skill when working on code that calls @huggingface/transformers. Before opening a pull request: - Check for existing work. Search open PRs and issues (gh pr list, gh issue list) for the area you're touching. Don't duplicate someone else's in-progress work. - Coordinate on the issue first. If an issue exists,…
Hugging FaceAGENTS.mdspeech-to-speech
huggingface/speech-to-speech/AGENTS.md
PyPI publishing is handled by GitHub Actions in .github/workflows/publish.yml. The workflow runs on pushed tags that match v*, builds the package with uv build, checks the artifacts with twine check --strict, and publishes through the configured pypi environment. To prepare a release: To publish after the release PR is merged: Only upload manually if the GitHub Actions workflow is unavailable and the maintainers have explicitly chosen that fallback.
Hugging FaceAGENTS.mdskills / agentsmd
huggingface/skills/agentsmd/AGENTS.md
You have additional SKILLs documented in directories containing a "SKILL.md" file. These skills are: - hf-cli -> "skills/hf-cli/SKILL.md" - hf-cloud-aws-context-discovery -> "skills/hf-cloud-aws-context-discovery/SKILL.md" - hf-cloud-python-env-setup -> "skills/hf-cloud-python-env-setup/SKILL.md" - hf-cloud-sagemaker-deployment-planner -> "skills/hf-cloud-sagemaker-deployment-planner/SKILL.md" - hf-cloud-sagemaker-iam-preflight -> "skills/hf-cloud-sagemaker-iam-preflight/SKILL.md" - hf-cloud-sagemaker-production-defaults -> "skills/hf-cloud-sagemaker-production-defaults/SKILL.md" - hf-cloud-serving-image-selection -> "skills/hf-cloud-serving-image-selection/SKILL.md" - hf-mem -> "skills/hf-mem/SKILL.md" - huggingface-best -> "skills/huggingface-best/SKILL.md" - huggingface-community-evals -> "skills/huggingface-community-evals/SKILL.md" - huggingface-datasets -> "skills/huggingface-datasets/SKILL.md" - huggingface-gradio -> "skills/huggingface-gradio/SKILL.md" - huggingface-llm-trainer -> "skills/huggingface-llm-trainer/SKILL.md" - huggingface-local-models -> "skills/huggingface-local-models/SKILL.md" - huggingface-lora-space-builder -> "skills/huggingface-lora-space-builder/SKILL.md" - huggingface-paper-publisher -> "skills/huggingface-paper-publisher/SKILL.md" - huggingface-papers…
Hugging FaceAGENTS.mdhuggingface_hub
huggingface/huggingface_hub/AGENTS.md
Python client library for the Hugging Face Hub. Source code is in src/huggingface_hub/, tests in tests/. Always run make style then make quality before committing.
Hugging FaceAGENTS.mddatatrove
huggingface/datatrove/AGENTS.md
DataTrove is a library to process, filter, and deduplicate text data at very large scale. It provides prebuilt pipeline blocks with a framework to add custom functionality. Pipelines are platform-agnostic, running locally, on Slurm, or on Ray clusters. See README.md for detailed documentation on terminology, pipeline blocks, executors, and usage examples.
Hugging FaceAGENTS.mdtau
huggingface/tau/AGENTS.md
Tau is a Python implementation of Pi's minimalist coding-agent harness architecture. The goal is to develop it incrementally, with each phase clearly documented and tested. The implementation roadmap is tracked in GitHub issue #1: Use that issue as the primary reference for phase ordering and architectural intent. Preserve Pi's core separation of concerns: Tau should be organized around these layers: Keep the core agent package independent of CLI, Textual, Rich rendering, session file locations, and application-specific resource loading. Use Textual…
Hugging FaceAGENTS.mdOpenEnv
huggingface/OpenEnv/AGENTS.md
See CLAUDE.md for the full agentic workflow, skills, and standard build/test/lint commands. This file adds cloud-environment specifics on top of that.
Hugging FaceAGENTS.mdMongoku
huggingface/Mongoku/AGENTS.md
You are able to use the Svelte MCP server, where you have access to comprehensive Svelte 5 and SvelteKit documentation. Here's how to use the available tools effectively: Use this FIRST to discover all available documentation sections. Returns a structured list with titles, use_cases, and paths. When asked about Svelte or SvelteKit topics, ALWAYS use this tool at the start of the chat to find relevant sections. Retrieves full documentation content for specific sections. Accepts single or multiple sections. After…
About AGENTS.md
What is AGENTS.md?
An open format for instructions to coding agents, read by Codex, Cursor and others. Think of it as a README written for agents.
Where does it go?
At the repository root, with more specific files in subdirectories. Agents read the one closest to the file they're editing.
What should it contain?
Setup and test commands, code style, and the rules a new contributor would need to know.
Does Claude Code read it?
Claude Code reads CLAUDE.md. A one-line CLAUDE.md that points at AGENTS.md covers both.