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

# Parallel Research Assistant - Persistent, Multi-API Agent

> A research assistant you can come back to.

A research assistant you can come back to. It combines all of Parallel's agent APIs (Search, Extract, Task) with Agno persistence: a SQLite-backed session, conversation history, and user memory.

```python research_assistant.py theme={null}
"""
Parallel Research Assistant - Persistent, Multi-API Agent
=========================================================

A research assistant you can come back to. It combines all of Parallel's
agent APIs (Search, Extract, Task) with Agno persistence: a SQLite-backed
session, conversation history, and user memory.

Ask a question, then a follow-up - the assistant remembers what you are
working on and what it already found.

Prerequisites:
- pip install parallel-web
- export PARALLEL_API_KEY=<your-api-key>
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.tools.parallel import ParallelTools

# ---------------------------------------------------------------------------
# Setup - persistence and tools
# ---------------------------------------------------------------------------
# SqliteDb gives the assistant a place to store sessions and memories.
db = SqliteDb(db_file="tmp/parallel_assistant.db")

# Search + Extract + Task in a single toolkit.
research_tools = ParallelTools(
    enable_search=True,
    enable_extract=True,
    enable_task=True,
    default_processor="base",
)

# ---------------------------------------------------------------------------
# Create the Agent
# ---------------------------------------------------------------------------
assistant = Agent(
    name="Research Assistant",
    model=OpenAIResponses(id="gpt-5.4"),
    tools=[research_tools],
    db=db,
    add_history_to_context=True,
    num_history_runs=5,
    update_memory_on_run=True,
    markdown=True,
    instructions=[
        "You are a research assistant.",
        "Use Search for quick facts, Extract to read specific URLs, and the "
        "Task API for deep research that needs citations.",
        "Remember what the user is researching across the conversation.",
    ],
)

# ---------------------------------------------------------------------------
# Run the Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    user_id = "researcher@example.com"
    session_id = "parallel-research-session"

    # First turn - establish the topic.
    assistant.print_response(
        "I'm evaluating web-research APIs for an agent we're building. "
        "Start by finding the main options.",
        stream=True,
        user_id=user_id,
        session_id=session_id,
    )

    # Follow-up - the assistant remembers the context from the first turn.
    assistant.print_response(
        "Of those, which support deep research with citations?",
        stream=True,
        user_id=user_id,
        session_id=session_id,
    )
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai parallel-web sqlalchemy
    ```
  </Step>

  <Step title="Export your API keys">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      export PARALLEL_API_KEY="your_parallel_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      $Env:PARALLEL_API_KEY="your_parallel_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `research_assistant.py`, then run:

    ```bash theme={null}
    python research_assistant.py
    ```
  </Step>
</Steps>

Full source: [cookbook/integrations/parallel/04\_research\_assistant.py](https://github.com/agno-agi/agno/blob/main/cookbook/integrations/parallel/04_research_assistant.py)