Memory Patterns

Patterns for managing agent memory and conversation state

Memory Patterns

Common patterns for managing memory in AI agents and LLM applications.

In-Memory Storage

Store conversation in application memory.

from agno import Agent
from agno.memory import Memory

agent = Agent(
    model=OpenAI(id="gpt-4o"),
    memory=Memory(),
    add_history_to_messages=True
)

# Conversation persists across runs
response1 = agent.run("My name is John")
response2 = agent.run("What is my name?")  # Remembers "John"

Database Storage

Persist conversations to database.

from agno.memory.db.sqlite import SqliteMemory

agent = Agent(
    memory=SqliteMemory(
        table_name="agent_sessions",
        db_file="conversations.db"
    ),
    session_id="user-123"
)

Semantic Memory (Mem0)

Store and retrieve memories by semantic similarity.

from mem0 import Memory
import qdrant_client

# Initialize Mem0 with Qdrant
memory = Memory.from_config({
    "vector_store": {
        "provider": "qdrant",
        "config": {
            "host": "localhost",
            "port": 6333
        }
    }
})

# Add memories
memory.add(
    "User prefers Python over JavaScript",
    user_id="user-123"
)

# Search memories
results = memory.search(
    "What programming language?",
    user_id="user-123"
)

Shared Memory

Share memory across multiple agents.

from agno.memory import Memory

shared_memory = Memory()

agent1 = Agent(memory=shared_memory, name="Researcher")
agent2 = Agent(memory=shared_memory, name="Writer")

# Both agents access same conversation history
research = agent1.run("Research quantum computing")
article = agent2.run("Write article based on research")

Memory Configuration

create_user_memories · boolean · default: true

Store user-specific memories

create_session_summary · boolean · default: false

Generate summaries of conversations

update_user_memories_after_run · boolean · default: true

Update memories after each interaction

Best Practices

Use in-memory storage for short sessions, database storage for production applications.

Be mindful of PII and sensitive data in memory stores. Implement appropriate data retention and privacy policies.

Related Resources

Memory Management

Learn advanced memory techniques

AI Agents

Build stateful agents