Memory
Built-in Memory
Examples
- Introduction
- Getting Started
- Agents
- Teams
- Workflows
- Applications
Agent Concepts
- Multimodal
- RAG
- Knowledge
- Memory
- Async
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Models
- Anthropic
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- Groq
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- Mistral
- NVIDIA
- Ollama
- OpenAI
- Perplexity
- Together
- xAI
- IBM
- LM Studio
- LiteLLM
- LiteLLM OpenAI
Memory
Built-in Memory
Code
cookbook/agent_concepts/memory/00_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.get_messages_for_session()
]
)
# -*- 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.get_messages_for_session()
]
)
Usage
1
Create a virtual environment
Open the Terminal
and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2
Install libraries
pip install -U agno
3
Run Example
python cookbook/agent_concepts/memory/00_builtin_memory.py
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