Zep Integration
Write user messages through ZepTools, wait for Zep to sync, then pass the retrieved Zep context block into an Agno agent as a dependency.
Demonstrates Zep-powered memory retrieval for an Agno agent.
"""
Zep Integration
===============
Demonstrates Zep-powered memory retrieval for an Agno agent.
"""
import time
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.zep import ZepTools
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
# Initialize the ZepTools
zep_tools = ZepTools(user_id="agno", session_id="agno-session")
zep_tools.add_zep_message(role="user", content="My name is John Billings")
zep_tools.add_zep_message(role="user", content="I live in NYC")
zep_tools.add_zep_message(role="user", content="I'm going to a concert tomorrow")
# Allow the memories to sync with Zep database
time.sleep(10)
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=OpenAIChat(),
tools=[zep_tools],
dependencies={"memory": zep_tools.get_zep_memory(memory_type="context")},
add_dependencies_to_context=True,
)
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# Ask the Agent about the user
agent.print_response("What do you know about me?")Context timing
The ten-second sleep is a demonstration delay, not confirmation that Zep finished processing the seed messages. Check the returned context before evaluating recall. The dependency is fetched once at construction; later tool calls can fetch updated context. session_id identifies a Zep thread, while graph search uses user_id. Choose identities for the intended user and conversation when reusing this recipe.
Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno openai zep-cloudExport your API keys
export OPENAI_API_KEY="your_openai_api_key_here"
export ZEP_API_KEY="your_zep_api_key_here"Run the example
Save the code above as zep_integration.py, then run:
python zep_integration.pyFull source: cookbook/11_memory/integrations/zep_integration.py