AGENTS.md examples from real projects

MicrosoftAGENTS.md

mcp-for-beginners / tr

microsoft/mcp-for-beginners/translations/tr/AGENTS.md

Yeni Başlayanlar için MCP, Model Context Protocol (MCP) - AI modelleri ile istemci uygulamalar arasındaki etkileşimler için standart bir çerçeve olan MCP'yi öğrenmek için açık kaynaklı bir eğitim müfredatıdır. Bu depo, birden çok programlama dilinde pratik kod örnekleriyle kapsamlı öğrenme malzemeleri sunar. Bu, belge odaklı bir depodur. Çoğu kurulum bireysel örnek projeler ve laboratuvarlar içinde gerçekleşir. Örnek projeler aşağıdaki konumlardadır: - 03-GettingStarted/samples/ - Dil spesifik örnekler - 03-GettingStarted/01-first-server/solution/ - İlk sunucu uygulamaları - 03-GettingStarted/02-client/solution/ - İstemci uygulamaları - 11-MCPServerHandsOnLabs/ -…

No other project uses it yet

MicrosoftAGENTS.md

mcp-for-beginners / uk

microsoft/mcp-for-beginners/translations/uk/AGENTS.md

MCP для початківців — це відкритий навчальний курс для вивчення Протоколу Контексту Моделі (MCP) — стандартизованої рамки для взаємодії між AI-моделями та клієнтськими додатками. Цей репозиторій надає комплексні навчальні матеріали з практичними прикладами коду на кількох мовах програмування. Це репозиторій, орієнтований на документацію. Більшість налаштувань відбувається у кожному окремому прикладі проекту та лабораторії. Прикладні проєкти знаходяться в: - 03-GettingStarted/samples/ - Приклади для конкретних мов - 03-GettingStarted/01-first-server/solution/ - Перші реалізації серверів - 03-GettingStarted/02-client/solution/ - Клієнтські реалізації - 11-MCPServerHandsOnLabs/ - Комплексні лабораторії…

No other project uses it yet

MicrosoftAGENTS.md

mcp-for-beginners / ur

microsoft/mcp-for-beginners/translations/ur/AGENTS.md

MCP برائے مبتدیان ماڈل کانٹیکسٹ پروٹوکول (MCP) سیکھنے کے لیے ایک اوپن سورس تعلیمی نصاب ہے - جو AI ماڈلز اور کلائنٹ ایپلیکیشنز کے مابین تعاملات کے لیے ایک معیاری فریم ورک ہے۔ یہ ریپوزٹری مختلف پروگرامنگ زبانوں میں عملی کوڈ کی مثالوں کے ساتھ جامع تعلیمی مواد فراہم کرتی ہے۔ یہ ایک دستاویزی مرکزیت والی ریپوزٹری ہے۔ زیادہ تر سیٹ اپ نمونہ پروجیکٹس اور لیبز کے اندر ہوتا ہے۔ نمونہ پروجیکٹس درج ذیل جگہوں پر موجود ہیں: - 03-GettingStarted/samples/…

No other project uses it yet

MicrosoftAGENTS.md

mcp-for-beginners / vi

microsoft/mcp-for-beginners/translations/vi/AGENTS.md

MCP dành cho người mới bắt đầu là một chương trình học mở nguồn về giao thức Model Context Protocol (MCP) - một khuôn khổ tiêu chuẩn hóa cho sự tương tác giữa các mô hình AI và các ứng dụng khách. Kho lưu trữ này cung cấp tài liệu học tập toàn diện với các ví dụ mã thực hành trên nhiều ngôn ngữ lập trình. Đây là kho tài liệu tập trung. Hầu hết việc thiết lập diễn…

No other project uses it yet

MicrosoftAGENTS.md

mcp-for-beginners / zh-CN

microsoft/mcp-for-beginners/translations/zh-CN/AGENTS.md

MCP入门指南 是一个开源的教育课程，用于学习模型上下文协议（MCP）——一种用于 AI 模型与客户端应用之间交互的标准化框架。本仓库提供了涵盖多种编程语言的详尽学习资料和实操代码示例。 这是一个以文档为主的仓库。大多数环境配置均在各个示例项目和实验中进行。 示例项目位于： - 03-GettingStarted/samples/ - 语言特定示例 - 03-GettingStarted/01-first-server/solution/ - 第一个服务器实现 - 03-GettingStarted/02-client/solution/ - 客户端实现 - 11-MCPServerHandsOnLabs/ - 综合数据库集成实验 每个示例项目内均包含其独立的设置说明： - [x] <strong>新贡献者指导清晰</strong>：该文件定义了仓库目的、 结构、贡献规则及示例设置路径。 - [x] 构建/测试/代码风格检查命令及精确参数： - 仓库文档代码风格检查： npx --yes markdownlint-cli2 "**/*.md" "#node_modules" "#translations" "#translated_images" - 仓库文档链接模式审计： find . -name "*.md" -not -path "*/node_modules/*" -not -path "./translations/*" -not -path "./translated_images/*" -print0 | xargs -0 grep -En "\[.*\]\(.*\)" - TypeScript 示例验证： cd 03-GettingStarted/samples/typescript && npm ci && npm test && npm run build - Python 示例验证： cd…

No other project uses it yet

MicrosoftAGENTS.md

mcp-for-beginners / zh-HK

microsoft/mcp-for-beginners/translations/zh-HK/AGENTS.md

MCP for Beginners 是一個開源教育課程，用於學習模型上下文協議（MCP）——一個 AI 模型與客戶端應用之間互動的標準化框架。本存儲庫提供包含多種程式語言的完整學習資料和實作範例。 本存儲庫以文件為主。大部分設定在各個範例專案與實驗中完成。 範例專案位置： - 03-GettingStarted/samples/ — 依語言分別的範例 - 03-GettingStarted/01-first-server/solution/ — 首個伺服器實作 - 03-GettingStarted/02-client/solution/ — 客戶端實作 - 11-MCPServerHandsOnLabs/ — 完整資料庫整合實驗室 每個範例專案附有其設置說明： 因本存儲庫主要為文件，測試重點為： 各語言範例皆有其測試方式： 本存儲庫文件託管使用 GitHub Pages 或類似平台（如適用）。主分支變更時觸發： 本存儲庫主要為 Markdown 文檔，不需編譯或建置步驟。 各範例專案可能有部署說明： - 參見 03-GettingStarted/09-deployment/ 中 MCP 伺服器部署指引 - Azure 容器應用部署範例在 11-MCPServerHandsOnLabs/

No other project uses it yet

MicrosoftAGENTS.md

mcp-for-beginners / zh-MO

microsoft/mcp-for-beginners/translations/zh-MO/AGENTS.md

MCP for Beginners 是一個開源的教育課程，用於學習模型上下文協議（MCP）——一個標準化的框架，用於 AI 模型與客戶端應用程序之間的互動。本倉庫提供多種程式語言的綜合學習資料和實作範例代碼。 此倉庫以文件為主。大部分設置工作於個別範例專案與實驗室中進行。 範例專案位於： - 03-GettingStarted/samples/ - 依語言區分的範例 - 03-GettingStarted/01-first-server/solution/ - 首個伺服器實作 - 03-GettingStarted/02-client/solution/ - 客戶端實作 - 11-MCPServerHandsOnLabs/ - 全面資料庫整合實驗室 每個範例專案都含有各自的設置說明： 由於此為主要文件倉庫，測試重點為： 各語言範例附帶專屬的測試方法： 本倉庫使用 GitHub Pages 或類似服務來托管文件（如適用）。main 分支的變更會觸發： 此倉庫主要包含 Markdown 文件，核心課程內容不需編譯或建置。 個別範例專案可能含有部署說明： - 請參閱 03-GettingStarted/09-deployment/ 的 MCP 伺服器部署指南 - 11-MCPServerHandsOnLabs/ 中的 Azure Container Apps 部署範例

No other project uses it yet

MicrosoftAGENTS.md

mcp-for-beginners / zh-TW

microsoft/mcp-for-beginners/translations/zh-TW/AGENTS.md

初學者 MCP 是一個開源的教學課程，用於學習模型上下文協議 (Model Context Protocol, MCP)——一個 AI 模型與客戶端應用程式之間交互的標準化框架。本儲存庫提供涵蓋多種程式語言的實作程式碼範例的完整學習材料。 這是一個以文件為主的儲存庫，大多數設定工作發生在各個範例專案與實驗室中。 範例專案位置為： - 03-GettingStarted/samples/ - 特定語言範例 - 03-GettingStarted/01-first-server/solution/ - 第一個伺服器實作 - 03-GettingStarted/02-client/solution/ - 客戶端實作 - 11-MCPServerHandsOnLabs/ - 全面性資料庫整合實驗室 每個範例專案都有自己的設定說明： - [x] <strong>新貢獻者清晰度</strong>：此文件定義儲存庫目的、 結構、貢獻規則及範例設定路徑。 - [x] 精確標記的建置/測試/程式碼風格檢查指令： - 儲存庫文件風格檢查： npx --yes markdownlint-cli2 "**/*.md" "#node_modules" "#translations" "#translated_images" - 儲存庫文件連結模式稽核： find . -name "*.md" -not -path "*/node_modules/*" -not -path "./translations/*" -not -path "./translated_images/*" -print0 | xargs -0 grep -En "\[.*\]\(.*\)" - TypeScript 範例驗證： cd 03-GettingStarted/samples/typescript && npm ci && npm test && npm run…

No other project uses it yet

MicrosoftAGENTS.md

playwright-python

microsoft/playwright-python/AGENTS.md

Python bindings for Playwright. The client in playwright/_impl/ talks to the Node.js driver in playwright/driver/ over a pipe. Everything comes from microsoft/playwright at the commit in DRIVER_VERSION: the driver, the generated API and the code that we port. .upstream/ is a full clone of it (gitignored). Read upstream code there. Do not edit, commit or switch branches in it. You need Python 3.10+, git, Node.js and npm. When DRIVER_VERSION changes, for example after a pull, run python scripts/upstream.py checkout and…

No other project uses it yet

MicrosoftReads credentialsAGENTS.md

playwright-python / _impl

microsoft/playwright-python/playwright/_impl/AGENTS.md

These rules say how to write playwright/_impl from packages/playwright-core/src/client in microsoft/playwright. Use them at each roll, for every new or changed line of the client. The upstream code is in .upstream/, the checkout at the commit in DRIVER_VERSION. The steps of a roll are in the playwright-roll skill. The port is line by line. The structure of the Python follows the JavaScript. The timing of the Python follows asyncio. A reviewer reads the .ts file and the .py file side…

No other project uses it yet

MicrosoftAGENTS.md

playwright-python / tests

microsoft/playwright-python/tests/AGENTS.md

These rules say how to write tests/async/{page,library} and tests/sync/{page,library} from tests/page and tests/library in microsoft/playwright, at the commit in DRIVER_VERSION. Use them at each roll, for every new or changed upstream test. The upstream tests are in .upstream/, the checkout at that commit. The steps of a roll are in the playwright-roll skill. The port is line by line, with zero deviations. A reviewer reads the .spec.ts file and the two .py files side by side. Each upstream statement maps…

No other project uses it yet

MicrosoftAGENTS.md

RD-Agent / claude

microsoft/RD-Agent/rdagent/scenarios/rl/autorl_bench/agents/claude/AGENTS.md

You MUST maintain a file called summary.md in the workspace root. Update it after every training attempt and every submission, not just at the end.

MicrosoftAGENTS.md

agent-framework / dotnet

microsoft/agent-framework/dotnet/AGENTS.md

Instructions for AI coding agents working in the .NET codebase. See ./.github/skills/build-and-test/SKILL.md for detailed instructions on building, testing, and linting projects. See ./.github/skills/project-structure/SKILL.md for an overview of the project structure. See ./.github/skills/pull-requests/SKILL.md for guidance on writing PR descriptions and handling/resolving PR review comments. The framework integrates with Microsoft.Extensions.AI and Microsoft.Extensions.AI.Abstractions (external NuGet packages) using types like IChatClient, FunctionInvokingChatClient, AITool, AIFunction, ChatMessage, and AIContent. When developing or reviewing code, verify adherence to these key design principles: Samples (in ./samples/ folder) should…

No other project uses it yet

MicrosoftAGENTS.md

agent-framework / samples

microsoft/agent-framework/dotnet/samples/AGENTS.md

This file documents the structure and conventions of the .NET samples so that agents (AI or human) can maintain them without rediscovering decisions. 1. Progressive complexity: Sections 01→05 build from "hello world" to production. Within 01-get-started, projects are numbered 01–05 and each step adds exactly one concept.

No other project uses it yet

MicrosoftAGENTS.md

agent-framework / python

microsoft/agent-framework/python/AGENTS.md

Instructions for AI coding agents working in the Python codebase. Key Documentation: - DEV_SETUP.md - Development environment setup and available poe tasks - CODING_STANDARD.md - Canonical Python engineering and API-design standards - samples/SAMPLE_GUIDELINES.md - Sample structure and guidelines - Python function-calling loop specification - Required behavior, scenario-to-test mapping, coverage gaps, and extra validation for function-loop changes Agent Skills (.github/skills/) — detailed, task-specific instructions loaded on demand: - python-development — Python development workflow and routing to the canonical standards and task-specific…

No other project uses it yet

MicrosoftAGENTS.md

agent-framework / a2a

microsoft/agent-framework/python/packages/a2a/AGENTS.md

Agent-to-Agent (A2A) protocol support for inter-agent communication. A2A protocol metadata is stored under additional_properties["a2a"]. The legacy a2a_metadata key remains readable and is dual-written during the compatibility period defined by spec 005. Consuming legacy-only input emits FutureWarning; new callers should write only the canonical a2a key.

No other project uses it yet

MicrosoftAGENTS.md

agent-framework / ag-ui

microsoft/agent-framework/python/packages/ag-ui/AGENTS.md

AG-UI protocol integration for building agent UIs with the AG-UI standard. - AgentFrameworkAgent - Wraps agents for AG-UI compatibility - AgentFrameworkWorkflow - Wraps native Workflow objects, or accepts workflow_factory(thread_id) for thread-scoped workflow instances without subclassing - AGUIChatClient - Chat client that speaks AG-UI protocol - AGUIHttpService - HTTP service for AG-UI endpoints - agent_framework_messages_to_agui_host_history() - Converts persisted Agent Framework messages to bounded AG-UI Host history while retaining MCP widget payloads and model replay metadata - AGUIEventConverter - Converts between Agent…

No other project uses it yet

MicrosoftAGENTS.md

agent-framework / anthropic

microsoft/agent-framework/python/packages/anthropic/AGENTS.md

Integration with Anthropic's Claude API.

No other project uses it yet

MicrosoftReads credentialsAGENTS.md

agent-framework / azure-ai-search

microsoft/agent-framework/python/packages/azure-ai-search/AGENTS.md

Integration with Azure AI Search for RAG (Retrieval-Augmented Generation) and vector storage. The package depends on azure-search-documents>=12.0.0,<13, which spans both channels, and auto-detects which build is installed — there is no api_version parameter: The provider never pins an api-version; the installed build picks its own default, so newer releases work without code changes (single source of truth = the install). Capability gating keys off _preview_agentic_features_available — whether the preview build's agentic symbols (KnowledgeRetrieval{Low,Medium}ReasoningEffort, KnowledgeRetrievalOutputMode) can be imported. Agentic output mode…

No other project uses it yet

MicrosoftAGENTS.md

agent-framework / azure-contentunderstanding

microsoft/agent-framework/python/packages/azure-contentunderstanding/AGENTS.md

agent-framework-azure-contentunderstanding integrates Azure Content Understanding (CU) into the Agent Framework as a context provider. It automatically analyzes file attachments (documents, images, audio, video) and injects structured results into the LLM context. - _context_provider.py — Main provider implementation. Overrides before_run() to detect file attachments, call the CU API, manage session state with multi-document tracking, and auto-register retrieval tools for follow-up turns. - Analyzer auto-detection — When analyzer_id=None (default), _resolve_analyzer_id() selects the CU analyzer based on media type prefix: audio/ → prebuilt-audioSearch,…

No other project uses it yet