Add DuckDB conversation example

examples/communication_examples/duckdb_agent.py

@@ -0,0 +1,25 @@
+from swarms import Agent
+from swarms.communication.duckdb_wrap import DuckDBConversation
+
+# Configure a DuckDB-backed conversation store
+conversation_store = DuckDBConversation(
+    db_path="support_conversation.duckdb",
+    table_name="support_history",
+    enable_logging=True,
+)
+
+# Create an agent that uses this persistent memory
+agent = Agent(
+    agent_name="HelpdeskAgent",
+    system_prompt="You are a helpful assistant.",
+    model_name="gpt-4o-mini",
+    long_term_memory=conversation_store,
+    max_loops=1,
+    autosave=True,
+)
+
+response = agent.run("What are your hours of operation?")
+print(response)
+
+# View the conversation as stored in DuckDB
+print(conversation_store.to_dict())