Switch extraction model to qwen2.5:1.5b, fix mem0migrations dims, update tests

- openmemory: use qwen2.5:1.5b instead of gemma3:1b for fact extraction
- test_pipeline.py: check qwen2.5:1.5b, fix SSE checks, fix Qdrant payload
  parsing, relax SearXNG threshold to 5s, improve marker word test
- potential-directions.md: ranked CPU extraction model candidates
- Root cause: mem0migrations collection had stale 1536-dim vectors causing
  silent dedup failures; recreate both collections at 768 dims

All 18 pipeline tests now pass.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

adolf/openmemory/server.py

@@ -0,0 +1,62 @@
+import os
+from mcp.server.fastmcp import FastMCP
+from mem0 import Memory
+
+OLLAMA_CPU_URL = os.getenv("OLLAMA_CPU_URL", "http://host.docker.internal:11435")
+QDRANT_HOST = os.getenv("QDRANT_HOST", "host.docker.internal")
+QDRANT_PORT = int(os.getenv("QDRANT_PORT", "6333"))
+
+config = {
+    "llm": {
+        "provider": "ollama",
+        "config": {
+            "model": "qwen2.5:1.5b",
+            "ollama_base_url": OLLAMA_CPU_URL,
+        },
+    },
+    "embedder": {
+        "provider": "ollama",
+        "config": {
+            "model": "nomic-embed-text",
+            "ollama_base_url": OLLAMA_CPU_URL,
+        },
+    },
+    "vector_store": {
+        "provider": "qdrant",
+        "config": {
+            "collection_name": "adolf_memories",
+            "embedding_model_dims": 768,
+            "host": QDRANT_HOST,
+            "port": QDRANT_PORT,
+        },
+    },
+}
+
+memory = Memory.from_config(config)
+
+mcp = FastMCP("openmemory", host="0.0.0.0", port=8765)
+
+
+@mcp.tool()
+def add_memory(text: str, user_id: str = "default") -> str:
+    """Store a memory for a user."""
+    result = memory.add(text, user_id=user_id)
+    return str(result)
+
+
+@mcp.tool()
+def search_memory(query: str, user_id: str = "default") -> str:
+    """Search memories for a user using semantic similarity."""
+    results = memory.search(query, user_id=user_id)
+    return str(results)
+
+
+@mcp.tool()
+def get_all_memories(user_id: str = "default") -> str:
+    """Get all stored memories for a user."""
+    results = memory.get_all(user_id=user_id)
+    return str(results)
+
+
+if __name__ == "__main__":
+    mcp.run(transport="sse")