xAI Image Agent With Memory
Analyze an image with Grok 4.5 and retain history for follow-up questions.
The source-fidelity code uses the older grok-2-vision-latest model. Replace it with grok-4.5 before running the example.
"""
Xai Image Agent With Memory
===========================
Cookbook example for `xai/image_agent_with_memory.py`.
"""
from agno.agent import Agent
from agno.media import Image
from agno.models.xai import xAI
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=xAI(id="grok-2-vision-latest"),
tools=[WebSearchTools()],
markdown=True,
add_history_to_context=True,
num_history_runs=3,
)
agent.print_response(
"Tell me about this image and give me the latest news about it.",
images=[
Image(
url="https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg"
)
],
)
agent.print_response("Tell me where I can get more images?")
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
passRun the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno ddgs openaiExport your xAI API key
export XAI_API_KEY="your_xai_api_key_here"Update the model
When saving the code, replace grok-2-vision-latest with grok-4.5.
Store the image conversation
Add from agno.db.in_memory import InMemoryDb to the imports and db=InMemoryDb() to Agent(...). History needs storage to retain the image, question and answer for the follow-up. This database lasts for the current process; use a persistent database for conversation reuse across restarts.
Run the example
Save the code above as image_agent_with_memory.py, then run:
python image_agent_with_memory.pyFull source: cookbook/90_models/xai/image_agent_with_memory.py