feat: rename keep-notes to memento-note, migrate to PostgreSQL, fix MCP bugs

- Rename directory keep-notes -> memento-note with all code references
- Prisma: SQLite -> PostgreSQL (both app and MCP server schemas)
- Sync MCP schema with main app (add missing fields, relations, indexes)
- Delete 17 SQLite migrations (clean slate for PostgreSQL)
- Remove SQLite dependencies (@libsql/client, better-sqlite3, etc.)
- Fix MCP server: hardcoded Windows DB paths -> DATABASE_URL env var
- Fix MCP server: .dockerignore excluded index-sse.js (SSE mode broken)
- MCP Dockerfile: node:20 -> node:22
- Docker Compose: add postgres service, remove SQLite volume
- Generate favicon.ico, icon-192.png, icon-512.png, apple-icon.png
- Update layout.tsx icons and manifest.json for PNG icons
- Update all .env files for PostgreSQL
- Rewrite README.md with updated sections
- Remove mcp-server/node_modules and prisma/client-generated from git tracking

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

memento-note/lib/ai/providers/deepseek.ts

@@ -0,0 +1,88 @@
+import { createOpenAI } from '@ai-sdk/openai';
+import { generateObject, generateText, embed } from 'ai';
+import { z } from 'zod';
+import { AIProvider, TagSuggestion, TitleSuggestion } from '../types';
+
+export class DeepSeekProvider implements AIProvider {
+  private model: any;
+  private embeddingModel: any;
+
+  constructor(apiKey: string, modelName: string = 'deepseek-chat', embeddingModelName: string = 'deepseek-embedding') {
+    // Create OpenAI-compatible client for DeepSeek
+    const deepseek = createOpenAI({
+      baseURL: 'https://api.deepseek.com/v1',
+      apiKey: apiKey,
+    });
+
+    this.model = deepseek(modelName);
+    this.embeddingModel = deepseek.embedding(embeddingModelName);
+  }
+
+  async generateTags(content: string): Promise<TagSuggestion[]> {
+    try {
+      const { object } = await generateObject({
+        model: this.model,
+        schema: z.object({
+          tags: z.array(z.object({
+            tag: z.string().describe('Le nom du tag, court et en minuscules'),
+            confidence: z.number().min(0).max(1).describe('Le niveau de confiance entre 0 et 1')
+          }))
+        }),
+        prompt: `Analyse la note suivante et suggère entre 1 et 5 tags pertinents.
+        Contenu de la note: "${content}"`,
+      });
+
+      return object.tags;
+    } catch (e) {
+      console.error('Erreur génération tags DeepSeek:', e);
+      return [];
+    }
+  }
+
+  async getEmbeddings(text: string): Promise<number[]> {
+    try {
+      const { embedding } = await embed({
+        model: this.embeddingModel,
+        value: text,
+      });
+      return embedding;
+    } catch (e) {
+      console.error('Erreur embeddings DeepSeek:', e);
+      return [];
+    }
+  }
+
+  async generateTitles(prompt: string): Promise<TitleSuggestion[]> {
+    try {
+      const { object } = await generateObject({
+        model: this.model,
+        schema: z.object({
+          titles: z.array(z.object({
+            title: z.string().describe('Le titre suggéré'),
+            confidence: z.number().min(0).max(1).describe('Le niveau de confiance entre 0 et 1')
+          }))
+        }),
+        prompt: prompt,
+      });
+
+      return object.titles;
+    } catch (e) {
+      console.error('Erreur génération titres DeepSeek:', e);
+      return [];
+    }
+  }
+
+  async generateText(prompt: string): Promise<string> {
+    try {
+      const { text } = await generateText({
+        model: this.model,
+        prompt: prompt,
+      });
+
+      return text.trim();
+    } catch (e) {
+      console.error('Erreur génération texte DeepSeek:', e);
+      throw e;
+    }
+  }
+}