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AGENTS.md examples from real projects

How real projects brief Codex, Cursor and every other agent that reads AGENTS.md.

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / fa

microsoft/ai-agents-for-beginners/translations/fa/AGENTS.md

azure-identity)" ``` ۲. **تست اجرای دفترچه:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` ۳. **بررسی متغیرهای محیطی:** ```bash python

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / fi

microsoft/ai-agents-for-beginners/translations/fi/AGENTS.md

azure-identity)" ``` 2. **Testaa muistiinpanojen suoritus:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Varmista ympäristömuuttujat:** ```bash python -c "import

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / fr

microsoft/ai-agents-for-beginners/translations/fr/AGENTS.md

Foundry) - Prêt pour la production avec observabilité intégrée - Modèle de fichier : `*-python-agent-framework.ipynb` ## Instructions de test Il s'agit d'un dépôt éducatif avec du code d'exemple plutôt

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / he

microsoft/ai-agents-for-beginners/translations/he/AGENTS.md

azure-identity)" ``` 2. **בדוק הרצת היומן:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **אמת את משתני הסביבה:** ```bash python

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / hi

microsoft/ai-agents-for-beginners/translations/hi/AGENTS.md

identity)" ``` 2. **नोटबुक निष्पादन का परीक्षण करें:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **पर्यावरण चर सत्यापित करें:** ```bash

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / hr

microsoft/ai-agents-for-beginners/translations/hr/AGENTS.md

azure-identity)" ``` 2. **Testirajte izvršavanje bilježnice:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Provjerite varijable okruženja:** ```bash python

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / hu

microsoft/ai-agents-for-beginners/translations/hu/AGENTS.md

ügynökként vannak telepítve (01, 04, 05, 16), a repo tartalmaz gyors teszt katalógusokat a `tests/` könyvtár alatt, amelyeket a `.github/workflows/smoke-test.yml` munkafolyamat futtat a [AI Smoke Test](https://github.com/marketplace/actions/ai-smoke-test) akció

No other project uses it yet

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / id

microsoft/ai-agents-for-beginners/translations/id/AGENTS.md

azure-identity)" ``` 2. **Uji eksekusi notebook:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Verifikasi variabel lingkungan:** ```bash python

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / it

microsoft/ai-agents-for-beginners/translations/it/AGENTS.md

Pronto per la produzione con osservabilità integrata - Modello di file: `*-python-agent-framework.ipynb` ## Istruzioni per il Test Questo è un repository educativo con codice d'esempio piuttosto che codice di produzione

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / ja

microsoft/ai-agents-for-beginners/translations/ja/AGENTS.md

framework|azure-ai|azure-identity)" ``` 2. **ノートブック実行のテスト:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **環境変数の検証:** ```bash python -c "import

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / km

microsoft/ai-agents-for-beginners/translations/km/AGENTS.md

azure-ai|azure-identity)" ``` 2. **សាកល្បងរត់ notebook:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **ផ្ទៀងផ្ទាត់បរិយាកាសប៉ារ៉ាម៉ែត្រ:** ```bash python -c "import

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / kn

microsoft/ai-agents-for-beginners/translations/kn/AGENTS.md

azure-identity)" ``` 2. **ನೋಟ್ಬುಕ್ ನಿರ್ವಹಣೆಯನ್ನು ಪರೀಕ್ಷಿಸಿ:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **ಪರಿಸರ ಚರಗಳನ್ನು ಪರಿಶೀಲಿಸಿ:** ```bash python

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / ko

microsoft/ai-agents-for-beginners/translations/ko/AGENTS.md

azure-identity)" ``` 2. **노트북 실행 테스트:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **환경 변수 확인:** ```bash python

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / lt

microsoft/ai-agents-for-beginners/translations/lt/AGENTS.md

azure-identity)" ``` 2. **Patikrinkite užrašų knygelių vykdymą:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Patikrinkite aplinkos kintamuosius:** ```bash python

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / ml

microsoft/ai-agents-for-beginners/translations/ml/AGENTS.md

azure-identity)" ``` 2. **നോട്ട്‌ബുക്ക് എക്സിക്യൂഷൻ ടെസ്റ്റ് ചെയ്യുക:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **പരിസ്ഥിതി വേരിയബിൾസ് സ്ഥിരീകരിക്കുക:** ```bash python

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / mr

microsoft/ai-agents-for-beginners/translations/mr/AGENTS.md

azure-identity)" ``` 2. **नोटबुक अंमलबजावणीची चाचणी करा:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **एन्व्हायर्नमेंट व्हेरिएबल्सची तपासणी करा:** ```bash

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / ms

microsoft/ai-agents-for-beginners/translations/ms/AGENTS.md

azure-identity)" ``` 2. **Uji pelaksanaan notebook:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Sahkan pembolehubah persekitaran:** ```bash python

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / my

microsoft/ai-agents-for-beginners/translations/my/AGENTS.md

identity)" ``` 2. **Notebook နဲ့ cell များ စမ်းသပ်ကြည့်သည် -** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **ပတ်ဝန်းကျင်အ_VARIABLE_ များစစ်ကြည့်ပါ -** ```bash python

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / ne

microsoft/ai-agents-for-beginners/translations/ne/AGENTS.md

azure-identity)" ``` २. **नोटबुक execution परीक्षण गर्नुहोस्:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` ३. **पर्यावरण चरहरू प्रमाणित गर्नुहोस्:** ```bash

79k4mo agoReviewMountCreate a free account to mount
MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / nl

microsoft/ai-agents-for-beginners/translations/nl/AGENTS.md

Testinstructies Dit is een educatieve repository met voorbeeldcode in plaats van productiecode met geautomatiseerde tests. Om je setup en wijzigingen te verifiëren: ### Handmatig Testen 1. **Test Python omgeving:** ```bash python

79k4mo agoReviewMountCreate a free account to mount
CLAUDE.md vs AGENTS.md

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.