> ## Documentation Index
> Fetch the complete documentation index at: https://docs.definable.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent with Memory

> Give an agent persistent memory across conversations.

Create an agent that remembers past conversations using a SQLite-backed memory store.

<Steps>
  <Step title="Create the agent">
    ```python agent_memory.py theme={null}
    from definable.agent import Agent
    from definable.memory import Memory, SQLiteStore

    agent = Agent(
        model="gpt-4o",
        instructions="You are a helpful assistant with persistent memory.",
        memory=Memory(store=SQLiteStore("./memory.db")),
    )

    # First conversation — the agent stores this
    output = agent.run("My name is Alice and I work at Acme Corp.", user_id="alice")
    print(output.content)

    # Second conversation — the agent recalls
    output = agent.run("Where do I work?", user_id="alice")
    print(output.content)  # "You work at Acme Corp."
    ```
  </Step>

  <Step title="Install dependencies">
    <Snippet file="install-definable.mdx" />
  </Step>

  <Step title="Export your API key">
    <Snippet file="export-openai-key.mdx" />
  </Step>

  <Step title="Run">
    ```bash theme={null}
    python agent_memory.py
    ```

    The agent stores facts from the first conversation and recalls them in the second.
  </Step>
</Steps>

<Tip>
  For quick testing without persistent storage, use `memory=True`:

  ```python theme={null}
  agent = Agent(model="gpt-4o", memory=True)  # InMemoryStore
  ```
</Tip>