feat: TS SDK v3 port, graph store removal, client v3 API migration

TypeScript SDK v3 pipeline (full parity with Python):
- Single-pass additive extraction with ADDITIVE_EXTRACTION_PROMPT
- Hybrid search (semantic + BM25 + entity boost) with additive scoring
- 8-phase batch pipeline (batch embed, persist, entity linking)
- New utils: scoring.ts, lemmatization.ts (natural), entity_extraction.ts (compromise)
- keywordSearch() on 8 vector stores (3 full: PGVector, Memory, Azure AI Search)
- Message persistence in SQLiteManager (rolling window of 10)
- Entity store as second vector collection
- MAX_BATCH=100 chunking guard on OpenAI/Azure embedBatch
- Updated default LLM model to gpt-4.1-nano-2025-04-14
- compromise + natural added as peer dependencies

Graph store removal (Python + TypeScript):
- Removed Neo4j, Memgraph, Kuzu, Neptune, Apache AGE integrations
- Deleted 18 graph-related files across both SDKs
- Removed GraphStoreFactory, GraphStoreConfig, graph_store config field
- Removed "relations" key from all API responses
- Removed graph optional dependency group from pyproject.toml
- Removed neo4j-driver from TS peerDependencies
- Simplified add/search/delete/reset (no more parallel graph operations)

Client SDK v3 API migration:
- add() endpoint: /v1/memories/ -> /v3/memories/ (async response)
- search() endpoint: /v2/memories/search/ -> /v3/memories/search/
- Removed output_format injection and v1.1 unwrapping logic
- Applied to both Python (sync + async) and TypeScript clients

Review feedback fixes:
- Removed deprecated custom_update_memory_prompt from MemoryConfig
- Added MAX_BATCH=100 chunking to Python + TS embed_batch
- Moved all inline imports to top level in main.py
- Cleaned up GraphStoreError dead code from exceptions.py

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

mem0-ts/src/oss/examples/basic.ts

@@ -292,86 +292,6 @@ async function demoRedis() {
   await runTests(memory);
 }
 
-async function demoGraphMemory() {
-  console.log("\n=== Testing Graph Memory Store ===\n");
-
-  const memory = new Memory({
-    version: "v1.1",
-    embedder: {
-      provider: "openai",
-      config: {
-        apiKey: process.env.OPENAI_API_KEY || "",
-        model: "text-embedding-3-small",
-      },
-    },
-    vectorStore: {
-      provider: "memory",
-      config: {
-        collectionName: "memories",
-        dimension: 1536,
-      },
-    },
-    llm: {
-      provider: "openai",
-      config: {
-        apiKey: process.env.OPENAI_API_KEY || "",
-        model: "gpt-4-turbo-preview",
-      },
-    },
-    graphStore: {
-      provider: "neo4j",
-      config: {
-        url: process.env.NEO4J_URL || "neo4j://localhost:7687",
-        username: process.env.NEO4J_USERNAME || "neo4j",
-        password: process.env.NEO4J_PASSWORD || "password",
-      },
-      llm: {
-        provider: "openai",
-        config: {
-          model: "gpt-4-turbo-preview",
-        },
-      },
-    },
-    historyDbPath: "memory.db",
-  });
-
-  try {
-    // Reset all memories
-    await memory.reset();
-
-    // Add memories with relationships
-    const result = await memory.add(
-      [
-        {
-          role: "user",
-          content: "Alice is Bob's sister and works as a doctor.",
-        },
-        {
-          role: "assistant",
-          content:
-            "I understand that Alice and Bob are siblings and Alice is a medical professional.",
-        },
-        { role: "user", content: "Bob is married to Carol who is a teacher." },
-      ],
-      {
-        userId: "john",
-      },
-    );
-    console.log("Added memories with relationships:", result);
-
-    // Search for connected information
-    const searchResult = await memory.search(
-      "Tell me about Bob's family connections",
-      {
-        userId: "john",
-      },
-    );
-    console.log("Search results with graph relationships:", searchResult);
-  } catch (error) {
-    console.error("Error in graph memory demo:", error);
-  }
-}
-
 async function main() {
   // Test in-memory store
   await demoMemoryStore();
@@ -379,19 +299,6 @@ async function main() {
   // Test in-memory store with Ollama
   await demoLocalMemory();
 
-  // Test graph memory if Neo4j environment variables are set
-  if (
-    process.env.NEO4J_URL &&
-    process.env.NEO4J_USERNAME &&
-    process.env.NEO4J_PASSWORD
-  ) {
-    await demoGraphMemory();
-  } else {
-    console.log(
-      "\nSkipping Graph Memory test - Neo4j environment variables not set",
-    );
-  }
-
   // Test PGVector store if environment variables are set
   if (process.env.PGVECTOR_DB) {
     await demoPGVector();