agent execution: default and custom stack

examples/agents-integrations/agno-agents/app.py

@@ -0,0 +1,25 @@
+from agno.agent import Agent
+from agno.models.openai import OpenAIChat
+
+from tools import CogneeTools
+from constants import INSTRUCTIONS, MY_PREFERENCE
+from dotenv import load_dotenv
+load_dotenv()
+
+def main():
+    cognee_tools = CogneeTools()
+    llm = OpenAIChat(id="gpt-5-mini")
+
+    agent = Agent(
+        model=llm,
+        tools=[cognee_tools],
+        description="You are my executive assistant who plans my itinerary based on my preference",
+        instructions=INSTRUCTIONS
+    )
+
+    agent.print_response(MY_PREFERENCE, stream=True)
+    print("\n")
+    agent.print_response("I am visiting Rome, give me restaurants list to stop by", stream=True)
+    
+if __name__ == "__main__":
+    main()

examples/agents-integrations/agno-agents/custom_stack.py

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+from agno.agent import Agent
+from agno.models.google import Gemini
+
+from tools import CogneeTools
+from constants import INSTRUCTIONS, MY_PREFERENCE
+from dotenv import load_dotenv
+load_dotenv()
+
+import os, pathlib, cognee
+from cognee_community_vector_adapter_qdrant import register
+
+def get_db_config():
+   system_path = pathlib.Path(__file__).parent
+   cognee.config.system_root_directory(os.path.join(system_path, ".cognee_system"))
+   cognee.config.data_root_directory(os.path.join(system_path, ".data_storage"))
+   cognee.config.set_relational_db_config({"db_provider": "sqlite"})
+   cognee.config.set_vector_db_config({
+       "vector_db_provider": "qdrant",
+       "vector_db_url": os.getenv("QDRANT_URL"),
+       "vector_db_key": os.getenv("QDRANT_API_KEY")
+   })
+   cognee.config.set_graph_db_config({"graph_database_provider": "kuzu"})
+
+def main():
+    cognee_tools = CogneeTools()
+    llm = Gemini(id="gemini-2.5-flash")
+
+    agent = Agent(
+        model=llm,
+        tools=[cognee_tools],
+        description="You are my executive assistant who plans my itinerary based on my preference",
+        instructions=INSTRUCTIONS
+    )
+
+    agent.print_response(MY_PREFERENCE, stream=True)
+    print("\n")
+    agent.print_response("I am visiting Rome, give me restaurants list to stop by", stream=True)
+    
+if __name__ == "__main__":
+    main()