chore: clean up repo for public release

- Remove BMAD framework, IDE configs, dev screenshots, test files,
  internal docs, and backup files
- Rename keep-notes/ to memento-note/
- Update all references from keep-notes to memento-note
- Add Apache 2.0 license with Commons Clause (non-commercial restriction)
- Add clean .gitignore and .env.docker.example

memento-note/app/api/ai/auto-labels/route.ts

@@ -0,0 +1,122 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { autoLabelCreationService } from '@/lib/ai/services'
+
+/**
+ * POST /api/ai/auto-labels - Suggest new labels for a notebook
+ */
+export async function POST(request: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { success: false, error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    const body = await request.json()
+    const { notebookId, language = 'en' } = body
+
+    if (!notebookId || typeof notebookId !== 'string') {
+      return NextResponse.json(
+        { success: false, error: 'Missing required field: notebookId' },
+        { status: 400 }
+      )
+    }
+
+    // Check if notebook belongs to user
+    const { prisma } = await import('@/lib/prisma')
+    const notebook = await prisma.notebook.findFirst({
+      where: {
+        id: notebookId,
+        userId: session.user.id,
+      },
+    })
+
+    if (!notebook) {
+      return NextResponse.json(
+        { success: false, error: 'Notebook not found' },
+        { status: 404 }
+      )
+    }
+
+    // Get label suggestions
+    const suggestions = await autoLabelCreationService.suggestLabels(
+      notebookId,
+      session.user.id,
+      language
+    )
+
+    if (!suggestions) {
+      return NextResponse.json({
+        success: true,
+        data: null,
+        message: 'No suggestions available (notebook may have fewer than 15 notes)',
+      })
+    }
+
+    return NextResponse.json({
+      success: true,
+      data: suggestions,
+    })
+  } catch (error) {
+    return NextResponse.json(
+      {
+        success: false,
+        error: error instanceof Error ? error.message : 'Failed to get label suggestions',
+      },
+      { status: 500 }
+    )
+  }
+}
+
+/**
+ * PUT /api/ai/auto-labels - Create suggested labels
+ */
+export async function PUT(request: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { success: false, error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    const body = await request.json()
+    const { suggestions, selectedLabels } = body
+
+    if (!suggestions || !Array.isArray(selectedLabels)) {
+      return NextResponse.json(
+        { success: false, error: 'Missing required fields: suggestions, selectedLabels' },
+        { status: 400 }
+      )
+    }
+
+    // Create labels
+    const createdCount = await autoLabelCreationService.createLabels(
+      suggestions.notebookId,
+      session.user.id,
+      suggestions,
+      selectedLabels
+    )
+
+    return NextResponse.json({
+      success: true,
+      data: {
+        createdCount,
+      },
+    })
+  } catch (error) {
+    return NextResponse.json(
+      {
+        success: false,
+        error: error instanceof Error ? error.message : 'Failed to create labels',
+      },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/batch-organize/route.ts

@@ -0,0 +1,102 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { batchOrganizationService } from '@/lib/ai/services'
+
+/**
+ * POST /api/ai/batch-organize - Create organization plan for notes in Inbox
+ */
+export async function POST(request: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { success: false, error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    // Get language from request headers or body
+    let language = 'en'
+    try {
+      const body = await request.json()
+      if (body.language) {
+        language = body.language
+      }
+    } catch (e) {
+      // If no body or invalid json, check headers
+      const acceptLanguage = request.headers.get('accept-language')
+      if (acceptLanguage) {
+        language = acceptLanguage.split(',')[0].split('-')[0]
+      }
+    }
+
+    // Create organization plan
+    const plan = await batchOrganizationService.createOrganizationPlan(
+      session.user.id,
+      language
+    )
+
+    return NextResponse.json({
+      success: true,
+      data: plan,
+    })
+  } catch (error) {
+    console.error('[batch-organize POST] Error:', error)
+    return NextResponse.json(
+      {
+        success: false,
+        error: error instanceof Error ? error.message : 'Failed to create organization plan',
+      },
+      { status: 500 }
+    )
+  }
+}
+
+/**
+ * PUT /api/ai/batch-organize - Apply organization plan
+ */
+export async function PUT(request: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { success: false, error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    const body = await request.json()
+    const { plan, selectedNoteIds } = body
+
+    if (!plan || !Array.isArray(selectedNoteIds)) {
+      return NextResponse.json(
+        { success: false, error: 'Missing required fields: plan, selectedNoteIds' },
+        { status: 400 }
+      )
+    }
+
+    // Apply organization plan
+    const movedCount = await batchOrganizationService.applyOrganizationPlan(
+      session.user.id,
+      plan,
+      selectedNoteIds
+    )
+
+    return NextResponse.json({
+      success: true,
+      data: {
+        movedCount,
+      },
+    })
+  } catch (error) {
+    return NextResponse.json(
+      {
+        success: false,
+        error: error instanceof Error ? error.message : 'Failed to apply organization plan',
+      },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/config/route.ts

@@ -0,0 +1,26 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { getSystemConfig } from '@/lib/config'
+
+export async function GET(request: NextRequest) {
+  try {
+    const config = await getSystemConfig()
+
+    return NextResponse.json({
+      AI_PROVIDER_TAGS: config.AI_PROVIDER_TAGS || 'not set',
+      AI_MODEL_TAGS: config.AI_MODEL_TAGS || 'not set',
+      AI_PROVIDER_EMBEDDING: config.AI_PROVIDER_EMBEDDING || 'not set',
+      AI_MODEL_EMBEDDING: config.AI_MODEL_EMBEDDING || 'not set',
+      OPENAI_API_KEY: config.OPENAI_API_KEY ? '***configured***' : '',
+      CUSTOM_OPENAI_API_KEY: config.CUSTOM_OPENAI_API_KEY ? '***configured***' : '',
+      CUSTOM_OPENAI_BASE_URL: config.CUSTOM_OPENAI_BASE_URL || '',
+      OLLAMA_BASE_URL: config.OLLAMA_BASE_URL || 'not set'
+    })
+  } catch (error: any) {
+    return NextResponse.json(
+      {
+        error: error.message || 'Failed to fetch config'
+      },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/echo/connections/route.ts

@@ -0,0 +1,85 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { memoryEchoService } from '@/lib/ai/services/memory-echo.service'
+
+/**
+ * GET /api/ai/echo/connections?noteId={id}&page={page}&limit={limit}
+ * Fetch all connections for a specific note
+ */
+export async function GET(req: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    // Get query parameters
+    const { searchParams } = new URL(req.url)
+    const noteId = searchParams.get('noteId')
+    const page = parseInt(searchParams.get('page') || '1')
+    const limit = parseInt(searchParams.get('limit') || '10')
+
+    // Validate noteId
+    if (!noteId) {
+      return NextResponse.json(
+        { error: 'noteId parameter is required' },
+        { status: 400 }
+      )
+    }
+
+    // Validate pagination parameters
+    if (page < 1 || limit < 1 || limit > 50) {
+      return NextResponse.json(
+        { error: 'Invalid pagination parameters. page >= 1, limit between 1 and 50' },
+        { status: 400 }
+      )
+    }
+
+    // Get all connections for the note
+    const allConnections = await memoryEchoService.getConnectionsForNote(noteId, session.user.id)
+
+    // Calculate pagination
+    const total = allConnections.length
+    const startIndex = (page - 1) * limit
+    const endIndex = startIndex + limit
+    const paginatedConnections = allConnections.slice(startIndex, endIndex)
+
+    // Format connections for response
+    const connections = paginatedConnections.map(conn => {
+      // Determine which note is the "other" note (not the target note)
+      const isNote1Target = conn.note1.id === noteId
+      const otherNote = isNote1Target ? conn.note2 : conn.note1
+
+      return {
+        noteId: otherNote.id,
+        title: otherNote.title,
+        content: otherNote.content,
+        createdAt: otherNote.createdAt,
+        similarity: conn.similarityScore,
+        daysApart: conn.daysApart
+      }
+    })
+
+    return NextResponse.json({
+      connections,
+      pagination: {
+        total,
+        page,
+        limit,
+        totalPages: Math.ceil(total / limit),
+        hasNext: endIndex < total,
+        hasPrev: page > 1
+      }
+    })
+
+  } catch (error) {
+    return NextResponse.json(
+      { error: 'Failed to fetch connections' },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/echo/dismiss/route.ts

@@ -0,0 +1,60 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { prisma } from '@/lib/prisma'
+
+/**
+ * POST /api/ai/echo/dismiss
+ * Dismiss a connection for a specific note
+ * Body: { noteId, connectedNoteId }
+ */
+export async function POST(req: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    const body = await req.json()
+    const { noteId, connectedNoteId } = body
+
+    if (!noteId || !connectedNoteId) {
+      return NextResponse.json(
+        { error: 'noteId and connectedNoteId are required' },
+        { status: 400 }
+      )
+    }
+
+    // Find and mark matching insights as dismissed
+    // We need to find insights where (note1Id = noteId AND note2Id = connectedNoteId) OR (note1Id = connectedNoteId AND note2Id = noteId)
+    await prisma.memoryEchoInsight.updateMany({
+      where: {
+        userId: session.user.id,
+        OR: [
+          {
+            note1Id: noteId,
+            note2Id: connectedNoteId
+          },
+          {
+            note1Id: connectedNoteId,
+            note2Id: noteId
+          }
+        ]
+      },
+      data: {
+        dismissed: true
+      }
+    })
+
+    return NextResponse.json({ success: true })
+
+  } catch (error) {
+    return NextResponse.json(
+      { error: 'Failed to dismiss connection' },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/echo/fusion/route.ts

@@ -0,0 +1,108 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { getChatProvider } from '@/lib/ai/factory'
+import { getSystemConfig } from '@/lib/config'
+import prisma from '@/lib/prisma'
+
+/**
+ * POST /api/ai/echo/fusion
+ * Generate intelligent fusion of multiple notes
+ */
+export async function POST(req: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    const body = await req.json()
+    const { noteIds, prompt } = body
+
+    if (!noteIds || !Array.isArray(noteIds) || noteIds.length < 2) {
+      return NextResponse.json(
+        { error: 'At least 2 note IDs are required' },
+        { status: 400 }
+      )
+    }
+
+    // Fetch the notes
+    const notes = await prisma.note.findMany({
+      where: {
+        id: { in: noteIds },
+        userId: session.user.id
+      },
+      select: {
+        id: true,
+        title: true,
+        content: true,
+        createdAt: true
+      }
+    })
+
+    if (notes.length !== noteIds.length) {
+      return NextResponse.json(
+        { error: 'Some notes not found or access denied' },
+        { status: 404 }
+      )
+    }
+
+    // Get AI provider
+    const config = await getSystemConfig()
+    const provider = getChatProvider(config)
+
+    // Build fusion prompt
+    const notesDescriptions = notes.map((note, index) => {
+      return `Note ${index + 1}: "${note.title || 'Untitled'}"
+${note.content}`
+    }).join('\n\n')
+
+    const fusionPrompt = `You are an expert at synthesizing and merging information from multiple sources.
+
+TASK: Create a unified, well-structured note by intelligently combining the following notes.
+
+${prompt ? `ADDITIONAL INSTRUCTIONS: ${prompt}\n` : ''}
+
+NOTES TO MERGE:
+${notesDescriptions}
+
+REQUIREMENTS:
+1. Create a clear, descriptive title that captures the essence of all notes
+2. Merge and consolidate related information
+3. Remove duplicates while preserving unique details from each note
+4. Organize the content logically (use headers, bullet points, etc.)
+5. Maintain the important details and context from all notes
+6. Keep the tone and style consistent
+7. Use markdown formatting for better readability
+
+Output format:
+# [Fused Title]
+
+[Merged and organized content...]
+
+Begin:`
+
+    try {
+      const fusedContent = await provider.generateText(fusionPrompt)
+
+      return NextResponse.json({
+        fusedNote: fusedContent,
+        notesCount: notes.length
+      })
+    } catch (error) {
+      return NextResponse.json(
+        { error: 'Failed to generate fusion' },
+        { status: 500 }
+      )
+    }
+
+  } catch (error) {
+    return NextResponse.json(
+      { error: 'Failed to process fusion request' },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/echo/route.ts

@@ -0,0 +1,92 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { memoryEchoService } from '@/lib/ai/services/memory-echo.service'
+
+/**
+ * GET /api/ai/echo
+ * Fetch next Memory Echo insight for current user
+ */
+export async function GET(req: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    // Get next insight (respects frequency limits)
+    const insight = await memoryEchoService.getNextInsight(session.user.id)
+
+    if (!insight) {
+      return NextResponse.json(
+        {
+          insight: null,
+          message: 'No new insights available at the moment. Memory Echo will notify you when we discover connections between your notes.'
+        }
+      )
+    }
+
+    return NextResponse.json({ insight })
+
+  } catch (error) {
+    return NextResponse.json(
+      { error: 'Failed to fetch Memory Echo insight' },
+      { status: 500 }
+    )
+  }
+}
+
+/**
+ * POST /api/ai/echo
+ * Submit feedback or mark as viewed
+ */
+export async function POST(req: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    const body = await req.json()
+    const { action, insightId, feedback } = body
+
+    if (action === 'view') {
+      // Mark insight as viewed
+      await memoryEchoService.markAsViewed(insightId)
+
+      return NextResponse.json({ success: true })
+
+    } else if (action === 'feedback') {
+      // Submit feedback (thumbs_up or thumbs_down)
+      if (!feedback || !['thumbs_up', 'thumbs_down'].includes(feedback)) {
+        return NextResponse.json(
+          { error: 'Invalid feedback. Must be thumbs_up or thumbs_down' },
+          { status: 400 }
+        )
+      }
+
+      await memoryEchoService.submitFeedback(insightId, feedback)
+
+      return NextResponse.json({ success: true })
+
+    } else {
+      return NextResponse.json(
+        { error: 'Invalid action. Must be "view" or "feedback"' },
+        { status: 400 }
+      )
+    }
+
+  } catch (error) {
+    return NextResponse.json(
+      { error: 'Failed to process request' },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/models/route.ts

@@ -0,0 +1,96 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { getSystemConfig } from '@/lib/config'
+
+// Modèles populaires pour chaque provider (2025)
+const PROVIDER_MODELS = {
+  ollama: {
+    tags: [
+      'llama3:latest',
+      'llama3.2:latest',
+      'granite4:latest',
+      'mistral:latest',
+      'mixtral:latest',
+      'phi3:latest',
+      'gemma2:latest',
+      'qwen2:latest'
+    ],
+    embeddings: [
+      'embeddinggemma:latest',
+      'mxbai-embed-large:latest',
+      'nomic-embed-text:latest'
+    ]
+  },
+  openai: {
+    tags: [
+      'gpt-4o',
+      'gpt-4o-mini',
+      'gpt-4-turbo',
+      'gpt-4',
+      'gpt-3.5-turbo'
+    ],
+    embeddings: [
+      'text-embedding-3-small',
+      'text-embedding-3-large',
+      'text-embedding-ada-002'
+    ]
+  },
+  custom: {
+    tags: [], // Will be loaded dynamically
+    embeddings: [] // Will be loaded dynamically
+  }
+}
+
+export async function GET(request: NextRequest) {
+  try {
+    const config = await getSystemConfig()
+    const provider = (config.AI_PROVIDER || 'ollama').toLowerCase()
+
+    let models = PROVIDER_MODELS[provider as keyof typeof PROVIDER_MODELS] || { tags: [], embeddings: [] }
+
+    // Pour Ollama, essayer de récupérer la liste réelle depuis l'API locale
+    if (provider === 'ollama') {
+      try {
+        const ollamaBaseUrl = config.OLLAMA_BASE_URL || process.env.OLLAMA_BASE_URL || 'http://localhost:11434'
+        const response = await fetch(`${ollamaBaseUrl}/api/tags`, {
+          method: 'GET',
+          headers: { 'Content-Type': 'application/json' }
+        })
+
+        if (response.ok) {
+          const data = await response.json()
+          const allModels = data.models || []
+
+          // Séparer les modèles de tags et d'embeddings
+          const tagModels = allModels
+            .filter((m: any) => !m.name.includes('embed') && !m.name.includes('Embedding'))
+            .map((m: any) => m.name)
+            .slice(0, 20) // Limiter à 20 modèles
+
+          const embeddingModels = allModels
+            .filter((m: any) => m.name.includes('embed') || m.name.includes('Embedding'))
+            .map((m: any) => m.name)
+
+          models = {
+            tags: tagModels.length > 0 ? tagModels : models.tags,
+            embeddings: embeddingModels.length > 0 ? embeddingModels : models.embeddings
+          }
+        }
+      } catch (error) {
+        // Garder les modèles par défaut
+      }
+    }
+
+    return NextResponse.json({
+      provider,
+      models: models || { tags: [], embeddings: [] }
+    })
+  } catch (error: any) {
+    return NextResponse.json(
+      {
+        error: error.message || 'Failed to fetch models',
+        models: { tags: [], embeddings: [] }
+      },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/notebook-summary/route.ts

@@ -0,0 +1,73 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { notebookSummaryService } from '@/lib/ai/services'
+
+/**
+ * POST /api/ai/notebook-summary - Generate summary for a notebook
+ */
+export async function POST(request: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json(
+        { success: false, error: 'Unauthorized' },
+        { status: 401 }
+      )
+    }
+
+    const body = await request.json()
+    const { notebookId, language = 'en' } = body
+
+    if (!notebookId || typeof notebookId !== 'string') {
+      return NextResponse.json(
+        { success: false, error: 'Missing required field: notebookId' },
+        { status: 400 }
+      )
+    }
+
+    // Check if notebook belongs to user
+    const { prisma } = await import('@/lib/prisma')
+    const notebook = await prisma.notebook.findFirst({
+      where: {
+        id: notebookId,
+        userId: session.user.id,
+      },
+    })
+
+    if (!notebook) {
+      return NextResponse.json(
+        { success: false, error: 'Notebook not found' },
+        { status: 404 }
+      )
+    }
+
+    // Generate summary
+    const summary = await notebookSummaryService.generateSummary(
+      notebookId,
+      session.user.id,
+      language
+    )
+
+    if (!summary) {
+      return NextResponse.json({
+        success: true,
+        data: null,
+        message: 'No summary available (notebook may be empty)',
+      })
+    }
+
+    return NextResponse.json({
+      success: true,
+      data: summary,
+    })
+  } catch (error) {
+    return NextResponse.json(
+      {
+        success: false,
+        error: error instanceof Error ? error.message : 'Failed to generate notebook summary',
+      },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/reformulate/route.ts

@@ -0,0 +1,57 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { paragraphRefactorService } from '@/lib/ai/services/paragraph-refactor.service'
+
+export async function POST(request: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
+    }
+
+    const { text, option } = await request.json()
+
+    // Validation
+    if (!text || typeof text !== 'string') {
+      return NextResponse.json({ error: 'Text is required' }, { status: 400 })
+    }
+
+    // Map option to refactor mode
+    const modeMap: Record<string, 'clarify' | 'shorten' | 'improveStyle'> = {
+      'clarify': 'clarify',
+      'shorten': 'shorten',
+      'improve': 'improveStyle'
+    }
+
+    const mode = modeMap[option]
+    if (!mode) {
+      return NextResponse.json(
+        { error: 'Invalid option. Use: clarify, shorten, or improve' },
+        { status: 400 }
+      )
+    }
+
+    // Validate word count
+    const validation = paragraphRefactorService.validateWordCount(text)
+    if (!validation.valid) {
+      return NextResponse.json({ error: validation.error }, { status: 400 })
+    }
+
+    // Use the ParagraphRefactorService
+    const result = await paragraphRefactorService.refactor(text, mode)
+
+    return NextResponse.json({
+      originalText: result.original,
+      reformulatedText: result.refactored,
+      option: option,
+      language: result.language,
+      wordCountChange: result.wordCountChange
+    })
+  } catch (error: any) {
+    return NextResponse.json(
+      { error: error.message || 'Failed to reformulate text' },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/suggest-notebook/route.ts

@@ -0,0 +1,46 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { notebookSuggestionService } from '@/lib/ai/services/notebook-suggestion.service'
+
+export async function POST(req: NextRequest) {
+  try {
+    const session = await auth()
+    if (!session?.user?.id) {
+      return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
+    }
+
+    const body = await req.json()
+    const { noteContent, language = 'en' } = body
+
+    if (!noteContent || typeof noteContent !== 'string') {
+      return NextResponse.json({ error: 'noteContent is required' }, { status: 400 })
+    }
+
+    // Minimum content length for suggestion (20 words as per specs)
+    const wordCount = noteContent.trim().split(/\s+/).length
+    if (wordCount < 20) {
+      return NextResponse.json({
+        suggestion: null,
+        reason: 'content_too_short',
+        message: 'Note content too short for meaningful suggestion'
+      })
+    }
+
+    // Get suggestion from AI service
+    const suggestedNotebook = await notebookSuggestionService.suggestNotebook(
+      noteContent,
+      session.user.id,
+      language
+    )
+
+    return NextResponse.json({
+      suggestion: suggestedNotebook,
+      confidence: suggestedNotebook ? 0.8 : 0 // Placeholder confidence score
+    })
+  } catch (error) {
+    return NextResponse.json(
+      { error: 'Failed to generate suggestion' },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/tags/route.ts

@@ -0,0 +1,62 @@
+import { NextRequest, NextResponse } from 'next/server';
+import { auth } from '@/auth';
+import { contextualAutoTagService } from '@/lib/ai/services/contextual-auto-tag.service';
+import { getAIProvider } from '@/lib/ai/factory';
+import { getSystemConfig } from '@/lib/config';
+import { z } from 'zod';
+
+const requestSchema = z.object({
+  content: z.string().min(1, "Le contenu ne peut pas être vide"),
+  notebookId: z.string().optional(),
+  language: z.string().default('en'),
+});
+
+export async function POST(req: NextRequest) {
+  try {
+    const session = await auth();
+    if (!session?.user?.id) {
+      return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });
+    }
+
+    const body = await req.json();
+    const { content, notebookId, language } = requestSchema.parse(body);
+
+    // If notebookId is provided, use contextual suggestions (IA2)
+    if (notebookId) {
+      const suggestions = await contextualAutoTagService.suggestLabels(
+        content,
+        notebookId,
+        session.user.id,
+        language
+      );
+
+      // Convert label → tag to match TagSuggestion interface
+      const convertedTags = suggestions.map(s => ({
+        tag: s.label, // Convert label to tag
+        confidence: s.confidence,
+        // Keep additional properties for client-side use
+        ...(s.reasoning && { reasoning: s.reasoning }),
+        ...(s.isNewLabel !== undefined && { isNewLabel: s.isNewLabel })
+      }));
+
+      return NextResponse.json({ tags: convertedTags });
+    }
+
+    // Otherwise, use legacy auto-tagging (generates new tags)
+    const config = await getSystemConfig();
+    const provider = getAIProvider(config);
+    const tags = await provider.generateTags(content, language);
+
+    return NextResponse.json({ tags });
+  } catch (error: any) {
+
+    if (error instanceof z.ZodError) {
+      return NextResponse.json({ error: error.issues }, { status: 400 });
+    }
+
+    return NextResponse.json(
+      { error: error.message || 'Erreur lors de la génération des tags' },
+      { status: 500 }
+    );
+  }
+}

memento-note/app/api/ai/test-embeddings/route.ts

@@ -0,0 +1,90 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { getEmbeddingsProvider } from '@/lib/ai/factory'
+import { getSystemConfig } from '@/lib/config'
+
+function getProviderDetails(config: Record<string, string>, providerType: string) {
+  const provider = providerType.toLowerCase()
+
+  switch (provider) {
+    case 'ollama':
+      return {
+        provider: 'Ollama',
+        baseUrl: config.OLLAMA_BASE_URL || 'http://localhost:11434',
+        model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest'
+      }
+    case 'openai':
+      return {
+        provider: 'OpenAI',
+        baseUrl: 'https://api.openai.com/v1',
+        model: config.AI_MODEL_EMBEDDING || 'text-embedding-3-small'
+      }
+    case 'custom':
+      return {
+        provider: 'Custom OpenAI',
+        baseUrl: config.CUSTOM_OPENAI_BASE_URL || 'Not configured',
+        model: config.AI_MODEL_EMBEDDING || 'text-embedding-3-small'
+      }
+    default:
+      return {
+        provider: provider,
+        baseUrl: 'unknown',
+        model: config.AI_MODEL_EMBEDDING || 'unknown'
+      }
+  }
+}
+
+export async function POST(request: NextRequest) {
+  try {
+    const config = await getSystemConfig()
+    const provider = getEmbeddingsProvider(config)
+
+    const testText = 'test'
+    const startTime = Date.now()
+    const embeddings = await provider.getEmbeddings(testText)
+    const endTime = Date.now()
+
+    if (!embeddings || embeddings.length === 0) {
+      const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
+      const details = getProviderDetails(config, providerType)
+      return NextResponse.json(
+        {
+          success: false,
+          error: 'No embeddings returned',
+          provider: providerType,
+          model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest',
+          details
+        },
+        { status: 500 }
+      )
+    }
+
+    const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
+    const details = getProviderDetails(config, providerType)
+
+    return NextResponse.json({
+      success: true,
+      provider: providerType,
+      model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest',
+      embeddingLength: embeddings.length,
+      firstValues: embeddings.slice(0, 5),
+      responseTime: endTime - startTime,
+      details
+    })
+  } catch (error: any) {
+    const config = await getSystemConfig()
+    const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
+    const details = getProviderDetails(config, providerType)
+
+    return NextResponse.json(
+      {
+        success: false,
+        error: error.message || 'Unknown error',
+        provider: providerType,
+        model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest',
+        details,
+        stack: process.env.NODE_ENV === 'development' ? error.stack : undefined
+      },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/test-tags/route.ts

@@ -0,0 +1,49 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { getTagsProvider } from '@/lib/ai/factory'
+import { getSystemConfig } from '@/lib/config'
+
+export async function POST(request: NextRequest) {
+  try {
+    const config = await getSystemConfig()
+    const provider = getTagsProvider(config)
+
+    const testContent = "This is a test note about artificial intelligence and machine learning. It contains keywords like AI, ML, neural networks, and deep learning."
+
+    const startTime = Date.now()
+    const tags = await provider.generateTags(testContent)
+    const endTime = Date.now()
+
+    if (!tags || tags.length === 0) {
+      return NextResponse.json(
+        {
+          success: false,
+          error: 'No tags generated',
+          provider: config.AI_PROVIDER_TAGS || 'ollama',
+          model: config.AI_MODEL_TAGS || 'granite4:latest'
+        },
+        { status: 500 }
+      )
+    }
+
+    return NextResponse.json({
+      success: true,
+      provider: config.AI_PROVIDER_TAGS || 'ollama',
+      model: config.AI_MODEL_TAGS || 'granite4:latest',
+      tags: tags,
+      responseTime: endTime - startTime
+    })
+  } catch (error: any) {
+    const config = await getSystemConfig()
+
+    return NextResponse.json(
+      {
+        success: false,
+        error: error.message || 'Unknown error',
+        provider: config.AI_PROVIDER_TAGS || 'ollama',
+        model: config.AI_MODEL_TAGS || 'granite4:latest',
+        stack: process.env.NODE_ENV === 'development' ? error.stack : undefined
+      },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/test/route.ts

@@ -0,0 +1,89 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { getTagsProvider, getEmbeddingsProvider } from '@/lib/ai/factory'
+import { getSystemConfig } from '@/lib/config'
+
+function getProviderDetails(config: Record<string, string>, providerType: string) {
+  const provider = providerType.toLowerCase()
+
+  switch (provider) {
+    case 'ollama':
+      return {
+        provider: 'Ollama',
+        baseUrl: config.OLLAMA_BASE_URL || process.env.OLLAMA_BASE_URL || 'http://localhost:11434',
+        model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest'
+      }
+    case 'openai':
+      return {
+        provider: 'OpenAI',
+        baseUrl: 'https://api.openai.com/v1',
+        model: config.AI_MODEL_EMBEDDING || 'text-embedding-3-small'
+      }
+    case 'custom':
+      return {
+        provider: 'Custom OpenAI',
+        baseUrl: config.CUSTOM_OPENAI_BASE_URL || process.env.CUSTOM_OPENAI_BASE_URL || 'Not configured',
+        model: config.AI_MODEL_EMBEDDING || 'text-embedding-3-small'
+      }
+    default:
+      return {
+        provider: provider,
+        baseUrl: 'unknown',
+        model: config.AI_MODEL_EMBEDDING || 'unknown'
+      }
+  }
+}
+
+export async function GET(request: NextRequest) {
+  try {
+    const config = await getSystemConfig()
+    const tagsProvider = getTagsProvider(config)
+    const embeddingsProvider = getEmbeddingsProvider(config)
+
+    const testText = 'test'
+
+    // Test embeddings provider
+    const embeddings = await embeddingsProvider.getEmbeddings(testText)
+
+    if (!embeddings || embeddings.length === 0) {
+      const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
+      const details = getProviderDetails(config, providerType)
+      return NextResponse.json(
+        {
+          success: false,
+          tagsProvider: config.AI_PROVIDER_TAGS || 'ollama',
+          embeddingsProvider: providerType,
+          error: 'No embeddings returned',
+          details
+        },
+        { status: 500 }
+      )
+    }
+
+    const tagsProviderType = config.AI_PROVIDER_TAGS || 'ollama'
+    const embeddingsProviderType = config.AI_PROVIDER_EMBEDDING || 'ollama'
+    const details = getProviderDetails(config, embeddingsProviderType)
+
+    return NextResponse.json({
+      success: true,
+      tagsProvider: tagsProviderType,
+      embeddingsProvider: embeddingsProviderType,
+      embeddingLength: embeddings.length,
+      firstValues: embeddings.slice(0, 5),
+      details
+    })
+  } catch (error: any) {
+    const config = await getSystemConfig()
+    const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
+    const details = getProviderDetails(config, providerType)
+
+    return NextResponse.json(
+      {
+        success: false,
+        error: error.message || 'Unknown error',
+        stack: process.env.NODE_ENV === 'development' ? error.stack : undefined,
+        details
+      },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/title-suggestions/route.ts

@@ -0,0 +1,107 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { getAIProvider } from '@/lib/ai/factory'
+import { getSystemConfig } from '@/lib/config'
+import { z } from 'zod'
+
+const requestSchema = z.object({
+  content: z.string().min(1, "Le contenu ne peut pas être vide"),
+})
+
+export async function POST(req: NextRequest) {
+  try {
+    const body = await req.json()
+    const { content } = requestSchema.parse(body)
+
+    // Vérifier qu'il y a au moins 10 mots
+    const wordCount = content.split(/\s+/).length
+
+    if (wordCount < 10) {
+      return NextResponse.json(
+        { error: 'Le contenu doit avoir au moins 10 mots' },
+        { status: 400 }
+      )
+    }
+
+    const config = await getSystemConfig()
+    const provider = getAIProvider(config)
+
+    // Détecter la langue du contenu (simple détection basée sur les caractères et mots)
+    const hasNonLatinChars = /[\u0400-\u04FF\u0600-\u06FF\u4E00-\u9FFF\u0E00-\u0E7F]/.test(content)
+    const isPersian = /[\u0600-\u06FF]/.test(content)
+    const isChinese = /[\u4E00-\u9FFF]/.test(content)
+    const isRussian = /[\u0400-\u04FF]/.test(content)
+    const isArabic = /[\u0600-\u06FF]/.test(content)
+    
+    // Détection du français par des mots et caractères caractéristiques
+    const frenchWords = /\b(le|la|les|un|une|des|et|ou|mais|donc|pour|dans|sur|avec|sans|très|plus|moins|tout|tous|toute|toutes|ce|cette|ces|mon|ma|mes|ton|ta|tes|son|sa|ses|notre|nos|votre|vos|leur|leurs|je|tu|il|elle|nous|vous|ils|elles|est|sont|été|être|avoir|faire|aller|venir|voir|savoir|pouvoir|vouloir|falloir|comme|que|qui|dont|où|quand|pourquoi|comment|quel|quelle|quels|quelles)\b/i
+    const frenchAccents = /[éèêàâôûùïüç]/i
+    const isFrench = frenchWords.test(content) || frenchAccents.test(content)
+
+    // Déterminer la langue du prompt système
+    let promptLanguage = 'en'
+    let responseLanguage = 'English'
+
+    if (isFrench) {
+      promptLanguage = 'fr'  // Français
+      responseLanguage = 'French'
+    } else if (isPersian) {
+      promptLanguage = 'fa'  // Persan
+      responseLanguage = 'Persian'
+    } else if (isChinese) {
+      promptLanguage = 'zh'  // Chinois
+      responseLanguage = 'Chinese'
+    } else if (isRussian) {
+      promptLanguage = 'ru'  // Russe
+      responseLanguage = 'Russian'
+    } else if (isArabic) {
+      promptLanguage = 'ar'  // Arabe
+      responseLanguage = 'Arabic'
+    }
+
+    // Générer des titres appropriés basés sur le contenu
+    const titlePrompt = promptLanguage === 'en'
+      ? `You are a title generator. Generate 3 concise, descriptive titles for the following content.
+
+IMPORTANT INSTRUCTIONS:
+- Use ONLY the content provided below between the CONTENT_START and CONTENT_END markers
+- Do NOT use any external knowledge or training data
+- Focus on the main topics and themes in THIS SPECIFIC content
+- Be specific to what is actually discussed
+
+CONTENT_START: ${content.substring(0, 500)} CONTENT_END
+
+Respond ONLY with a JSON array: [{"title": "title1", "confidence": 0.95}, {"title": "title2", "confidence": 0.85}, {"title": "title3", "confidence": 0.75}]`
+      : `Tu es un générateur de titres. Génère 3 titres concis et descriptifs pour le contenu suivant en ${responseLanguage}.
+
+INSTRUCTIONS IMPORTANTES :
+- Utilise SEULEMENT le contenu fourni entre les marqueurs CONTENT_START et CONTENT_END
+- N'utilise AUCUNE connaissance externe ou données d'entraînement
+- Concentre-toi sur les sujets principaux et thèmes de CE CONTENU SPÉCIFIQUE
+- Sois spécifique à ce qui est réellement discuté
+
+CONTENT_START: ${content.substring(0, 500)} CONTENT_END
+
+Réponds SEULEMENT avec un tableau JSON: [{"title": "titre1", "confidence": 0.95}, {"title": "titre2", "confidence": 0.85}, {"title": "titre3", "confidence": 0.75}]`
+
+    const titles = await provider.generateTitles(titlePrompt)
+
+    // Créer les suggestions
+    const suggestions = titles.map((t: any) => ({
+      title: t.title,
+      confidence: Math.round(t.confidence * 100),
+      reasoning: `Basé sur le contenu`
+    }))
+
+    return NextResponse.json({ suggestions })
+  } catch (error: any) {
+
+    if (error instanceof z.ZodError) {
+      return NextResponse.json({ error: error.issues }, { status: 400 })
+    }
+
+    return NextResponse.json(
+      { error: error.message || 'Erreur lors de la génération des titres' },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/transform-markdown/route.ts

@@ -0,0 +1,90 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { getAIProvider } from '@/lib/ai/factory'
+import { getSystemConfig } from '@/lib/config'
+
+export async function POST(request: NextRequest) {
+  try {
+    const session = await auth()
+
+    if (!session?.user?.id) {
+      return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
+    }
+
+    const { text } = await request.json()
+
+    // Validation
+    if (!text || typeof text !== 'string') {
+      return NextResponse.json({ error: 'Text is required' }, { status: 400 })
+    }
+
+    // Validate word count
+    const wordCount = text.split(/\s+/).length
+    if (wordCount < 10) {
+      return NextResponse.json(
+        { error: 'Text must have at least 10 words to transform' },
+        { status: 400 }
+      )
+    }
+
+    if (wordCount > 500) {
+      return NextResponse.json(
+        { error: 'Text must have maximum 500 words to transform' },
+        { status: 400 }
+      )
+    }
+
+    const config = await getSystemConfig()
+    const provider = getAIProvider(config)
+
+    // Detect language from text
+    const hasFrench = /[àâäéèêëïîôùûüÿç]/i.test(text)
+    const responseLanguage = hasFrench ? 'French' : 'English'
+
+    // Build prompt to transform text to Markdown
+    const prompt = hasFrench
+      ? `Tu es un expert en Markdown. Transforme ce texte ${responseLanguage} en Markdown bien formaté.
+
+IMPORTANT :
+- Ajoute des titres avec ## pour les sections principales
+- Utilise des listes à puces (-) ou numérotées (1.) quand approprié
+- Ajoute de l'emphase (gras **texte**, italique *texte*) pour les mots clés
+- Utilise des blocs de code pour le code ou les commandes
+- Présente l'information de manière claire et structurée
+- GARDE le même sens et le contenu, seul le format change
+
+Texte à transformer :
+${text}
+
+Réponds SEULEMENT avec le texte transformé en Markdown, sans explications.`
+      : `You are a Markdown expert. Transform this ${responseLanguage} text into well-formatted Markdown.
+
+IMPORTANT:
+- Add headings with ## for main sections
+- Use bullet lists (-) or numbered lists (1.) when appropriate
+- Add emphasis (bold **text**, italic *text*) for key terms
+- Use code blocks for code or commands
+- Present information clearly and structured
+- KEEP the same meaning and content, only change the format
+
+Text to transform:
+${text}
+
+Respond ONLY with the transformed Markdown text, no explanations.`
+
+    
+    const transformedText = await provider.generateText(prompt)
+
+    
+    return NextResponse.json({
+      originalText: text,
+      transformedText: transformedText,
+      language: responseLanguage
+    })
+  } catch (error: any) {
+    return NextResponse.json(
+      { error: error.message || 'Failed to transform text to Markdown' },
+      { status: 500 }
+    )
+  }
+}

memento-note/app/api/ai/translate/route.ts

@@ -0,0 +1,30 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { auth } from '@/auth'
+import { getTagsProvider } from '@/lib/ai/factory'
+import { getSystemConfig } from '@/lib/config'
+
+export async function POST(request: NextRequest) {
+  try {
+    const session = await auth()
+    if (!session?.user?.id) {
+      return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
+    }
+
+    const { text, targetLanguage } = await request.json()
+
+    if (!text || !targetLanguage) {
+      return NextResponse.json({ error: 'text and targetLanguage are required' }, { status: 400 })
+    }
+
+    const config = await getSystemConfig()
+    const provider = getTagsProvider(config)
+
+    const prompt = `Translate the following text to ${targetLanguage}. Return ONLY the translated text, no explanation, no preamble, no quotes:\n\n${text}`
+
+    const translatedText = await provider.generateText(prompt)
+
+    return NextResponse.json({ translatedText: translatedText.trim() })
+  } catch (error: any) {
+    return NextResponse.json({ error: error.message || 'Translation failed' }, { status: 500 })
+  }
+}