# Note

id: cmjzo4ffy000ci6hx387t26o7
title: Test Image API
content: Note avec image
color: purple
type: text
images:
  ["data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="]


id: cmjzu65dk00018m0zhn9ywyyc
title: New AI Framework Released
color: blue
type: text
labels: ["tech","ai","framework","mlops","gpu"]
content:
  Lien: <www.example.com>
  Date: 2026-01-04
  Résumé: A new AI framework designed for optimized training and deployment of machine learning models has been released. The framework supports a variety of neural networks and includes features that enhance computational efficiency and model accuracy. This release aims to simplify the integration of AI tools into existing systems, making it easier for developers to build robust AI applications.
  Pourquoi c’est IA/DevIA:
  - Optimized training methods for machine learning models.
  - Supports deployment across various hardware configurations.
  - Focus on enhancing computational efficiency and model performance.
  - Intended for use in real-world AI applications and development.
  Tags: tech, ai, framework, mlops, gpu


id: cmjzup2v900003ami4b65irih
title: New AI Framework Released
color: blue
type: text
labels: ["tech","ai","framework","mlops","gpu"]
content:
  Lien: <www.example.com>\nDate: 2026-01-04\nRésumé: A new AI framework designed for optimized training and deployment of machine learning models has been released. The framework supports a variety of neural network architectures and offers tools for efficient model optimization. It is built to integrate smoothly with existing ML pipelines and facilitate MLOps workflows.\nPourquoi c’est IA/DevIA :\n- Développement d'un nouveau framework pour IA\n- Optimisation et déploiement de modèles de ML\n- Intégration dans les pipelines MLOps\n- Support pour les architectures de réseaux neuronaux\nTags: ai, framework, mlops, gpu, optimization


id: cmjzup6rw00013amiy24sc08n
title: New AI Framework Released
color: blue
type: text
labels: ["tech","ai","framework","mlops","gpu"]
content:
  Lien: <www.example.com>
  Date: 2026-01-04
  Résumé: A new AI framework designed for optimized training and deployment of machine learning models has been released. The framework supports a variety of neural networks and is engineered for performance and scalability. It includes features for simplifying model deployment and enhancing capabilities for real-time inference.
  Pourquoi c’est IA/DevIA:
  - Conception d'un framework pour l'IA
  - Optimisation de l'entraînement des modèles
  - Support pour les réseaux de neurones
  - Prise en charge de l'inférence en temps réel
  Tags: framework, mlops, gpu, ai, tech


id: cmjzuzrrz0002127tlllrpf1a
title: Test Markdown
color: default
type: text
labels: []
images: []
content:
  # Titre Modifié

  ## Sous-titre édité

  - Liste modifiée 1
  - Liste modifiée 2
  - Nouvelle liste 3

  **Texte gras modifié** et *italique édité*

  ```javascript
  console.log("Code modifié avec succès!")
  ```


id: cmjzv0afc0003127t6c0gpmir
color: default
type: text
labels: []
images: []
content:
  # Test MCP Cleanup (Agent) — Exemple prêt à coller

  ## 1) Exemple d’OUTPUT typique de `get_notes` (ce que l’agent reçoit)
  > Dans ton MCP, la liste revient souvent dans `result.content[0].text` sous forme de **string JSON**.

  ```json
  {
    "jsonrpc": "2.0",
    "id": 4,
    "result": {
      "content": [
        {
          "type": "text",
          "text": "[{\"id\":\"n1\",\"title\":\"eza\",\"content\":\"...\"},{\"id\":\"n2\",\"title\":\"Notes IA\",\"content\":\"...\"},{\"id\":\"n3\",\"title\":\"  \",\"content\":\"...\"},{\"id\":\"n4\",\"title\":\"zzzz\",\"content\":\"...\"},{\"id\":\"n5\",\"title\":\"xzr\",\"content\":\"...\"}]"
        }
      ]
    }
  }


