Memory
Built-in Memory
Examples
- Introduction
- Getting Started
- Agents
- Workflows
- Applications
Agent Concepts
- Multimodal
- RAG
- Knowledge
- Memory
- Teams
- Async
- Hybrid Search
- Storage
- Tools
- Vector Databases
- Embedders
Models
- Anthropic
- AWS Bedrock Claude
- Azure OpenAI
- Cohere
- DeepSeek
- Fireworks
- Gemini
- Groq
- Hugging Face
- Mistral
- NVIDIA
- Ollama
- OpenAI
- Together
- Vertex AI
- xAI
Memory
Built-in Memory
Code
cookbook/agent_concepts/memory/01_builtin_memory.py
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from rich.pretty import pprint
agent = Agent(
model=OpenAIChat(id="gpt-4o"),
# Set add_history_to_messages=true to add the previous chat history to the messages sent to the Model.
add_history_to_messages=True,
# Number of historical responses to add to the messages.
num_history_responses=3,
description="You are a helpful assistant that always responds in a polite, upbeat and positive manner.",
)
# -*- Create a run
agent.print_response("Share a 2 sentence horror story", stream=True)
# -*- Print the messages in the memory
pprint([m.model_dump(include={"role", "content"}) for m in agent.memory.messages])
# -*- Ask a follow up question that continues the conversation
agent.print_response("What was my first message?", stream=True)
# -*- Print the messages in the memory
pprint([m.model_dump(include={"role", "content"}) for m in agent.memory.messages])
Usage
1
Create a virtual environment
Open the Terminal
and create a python virtual environment.
2
Set your API key
export OPENAI_API_KEY=xxx
3
Install libraries
pip install -U openai sqlalchemy agno
4
Run Agent