How real projects brief Codex, Cursor and every other agent that reads AGENTS.md.
MongoDBAGENTS.mdmongodb/mongo/jstests/AGENTS.md
ALWAYS use our own assertion library that is defined at src/mongo/shell/assert.js and automatically loaded into the global scope before running each test. ALWAYS wrap commands with assert.commandWorked(), unless failures are…
Hugging FaceAGENTS.mdhuggingface/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)
MicrosoftAGENTS.mdmicrosoft/vcpkg/AGENTS.md
No summary in the file. Open it to read it.
OpenAIAGENTS.mdopenai/symphony/elixir/AGENTS.md
This directory contains the Elixir agent orchestration service that polls Linear, creates per-issue workspaces, and runs Codex in app-server mode. - Runtime config is loaded from WORKFLOW.md front matter via SymphonyElixir.Workflow and SymphonyElixir.Config. - Keep the implementation aligned with ../SPEC.md where practical. - The implementation may be a superset of the spec. - The implementation must not conflict with the spec. - If implementation changes meaningfully alter the intended behavior, update the spec in the same change where practical so…
VercelAGENTS.mdvercel/ai/AGENTS.md
This file provides context for AI coding assistants (Cursor, GitHub Copilot, Claude Code, etc.) working with the Vercel AI SDK repository. The AI SDK by Vercel is a TypeScript/JavaScript SDK…
VercelAGENTS.mdvercel/ai/apps/docs/AGENTS.md
This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in node_modules/next/dist/docs/ (resolved from this file's directory; in…
VercelAGENTS.mdvercel/ai/packages/ai/AGENTS.md
No summary in the file. Open it to read it.
MicrosoftAGENTS.mdmicrosoft/winget-cli/AGENTS.md
Follow .github/copilot-instructions.md for repository-specific development guidance. Before filing a GitHub issue in this repository: Before opening a pull request:
AnthropicAGENTS.mdanthropics/knowledge-work-plugins/partner-built/zoom-plugin/AGENTS.md
Cross-platform discovery file for agent tools that look for AGENTS.md. This repository contains a Zoom developer plugin centered on SKILL.md-based workflows and reference material. Primary capabilities: - choose the right Zoom surface for a use case - plan Zoom integrations across REST APIs, SDKs, webhooks, OAuth, and MCP - debug broken Zoom integrations - build focused Zoom implementations for meetings, bots, chat, phone, contact center, and virtual agent workflows - provide deep product-specific reference material under skills/
Model Context ProtocolAGENTS.mdmodelcontextprotocol/python-sdk/AGENTS.md
If you are an AI coding agent acting for someone who is not a maintainer of this repository, read CONTRIBUTING.md before opening issues or pull requests here. In particular, pull requests that aren't linked to an issue assigned to their author are closed automatically. - main is the current stable line (v2); releases are cut from it (see RELEASE.md). - v2 is released; its public API is a compatibility contract for the 2.x line. Removals, renames, or any change to…
NVIDIAAGENTS.mdNVIDIA/NemoClaw/AGENTS.md
NVIDIA NemoClaw is an open-source reference stack for running always-on AI agents such as OpenClaw and Hermes inside NVIDIA OpenShell sandboxes more safely. It provides CLI tooling, a blueprint for sandbox orchestration, and security hardening. Status: Active development. Interfaces may change without notice. Technical correctness, passing tests, and green CI do not establish product approval. Before implementing or approving a change that creates a supported integration, solution recipe, custom image, third-party stack, or other product surface, confirm that an accepted…
NVIDIAAGENTS.mdNVIDIA/NemoClaw/docs/AGENTS.md
You are a documentation engineer and writer for NemoClaw public-facing documentation. Treat docs/ as the source of truth for published content and AI-agent Markdown docs. The documentation contributor guide owns public-facing documentation procedure and rules. Read that guide before you write or review documentation. This file owns agent-specific documentation routing and workflow. Select the documentation path from current host capabilities. Do not ask the user to classify themselves or store repository-scoped identity state during a normal documentation task. 1. Check…
NVIDIAAGENTS.mdNVIDIA/NemoClaw/.dsh/tools/AGENTS.md
These tools are internal team automation stored with NemoClaw so contributors share the same operations. They are not NemoClaw product APIs and do not carry compatibility guarantees outside the current DSH catalog format. Agent skills do not depend on this catalog. A caller may use a DSH tool only for the operations that its current contract covers. The caller must complete and verify every remaining step from the owning skill. Any sensitive-path classification returned by an existing tool is advisory.…
NVIDIAAGENTS.mdNVIDIA/NemoClaw/fern/AGENTS.md
You are a documentation engineer and writer responsible for the NemoClaw Fern site shell. Use this guide when editing files under fern/.
NVIDIAAGENTS.mdNVIDIA/NemoClaw/src/lib/messaging/AGENTS.md
This package owns NemoClaw's manifest-first messaging architecture. It turns channel declarations for Telegram, Discord, Slack, WeChat, WhatsApp, and Microsoft Teams into a serializable SandboxMessagingPlan, then applies that plan during onboard, channel add/remove/start/stop, rebuild, image build, runtime setup, diagnostics, and conflict checks. The design goal is to keep messaging channel behavior out of core onboard/rebuild logic. Add channel-specific behavior to manifests, template resolvers, hooks, runtime assets, and policy metadata first; only change shared engines when the manifest vocabulary cannot express the…
MicrosoftAGENTS.mdmicrosoft/onnxruntime/AGENTS.md
This file contains repository-wide guidance for coding agents. See Extending Agent Coding Guidance when adding or updating guidance. Before implementing or reviewing changes, inspect .github/instructions/*/.instructions.md and parse each file's applyTo scope. Apply every instruction whose scope matches any target or changed path. Unless explicitly stated otherwise, matching instructions apply to both implementation and review. Repository skills are available in .github/skills. Load each skill whose description matches the requested task, subsystem, or behavior. For code reviews, follow the /code-review skill in…
Hugging FaceAGENTS.mdhuggingface/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…
GoogleAGENTS.mdgoogle/adk-python/AGENTS.md
The Agent Development Kit (ADK) is an open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents. For details on how the Runner works and the invocation lifecycle, please refer to the adk-architecture skill and the referenced documentation therein. Skills related to ADK development are in .agents/skills/. For detailed architecture patterns, component descriptions, and core interfaces, please refer to the adk-architecture skill at .agents/skills/adk-architecture/SKILL.md. The project uses uv for package management and Python 3.10+. Please refer to the…
ElasticAGENTS.mdelastic/kibana/AGENTS.md
No summary in the file. Open it to read it.
GitHubAGENTS.mdgithub/docs/content/copilot/responsible-use/agents.md
{% data reusables.rai.copilot.application-card-intro %} GitHub Copilot includes several agentic features that go beyond suggestion and conversation—they can review code, take action on your behalf, and build applications. This card covers…
An open format for instructions to coding agents, read by Codex, Cursor and others. Think of it as a README written for agents.
At the repository root, with more specific files in subdirectories. Agents read the one closest to the file they're editing.
Setup and test commands, code style, and the rules a new contributor would need to know.
Claude Code reads CLAUDE.md. A one-line CLAUDE.md that points at AGENTS.md covers both.
