# nice! now let's ask a follow-up question
q2 = "plot revenue numbers"
a2_no_mem = agent_executor.invoke({
   "input": q2,
})
```

````txt title="Output"
[1m> Entering new AgentExecutor chain...[0m
[32;1m[1;3mPlan: I will ask the user for clarification on what data they would like to visualise.
Action: ```json JSON
[
    {
        "tool_name": "directly_answer",
        "parameters": {}
    }
]
```

Relevant Documents: None
Cited Documents: None
Answer: Hello, could you please clarify what data you would like to see plotted?
Grounded answer: Hello, could you please clarify what data you would like to see plotted?[0m

[1m> Finished chain.[0m

````

Without memory, the model cannot answer follow up questions because it misses the necessary previous context