> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/Shubhamsaboo/awesome-llm-apps/llms.txt
> Use this file to discover all available pages before exploring further.
# 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.
```python theme={null}
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.
```python theme={null}
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.
```python theme={null}
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.
```python theme={null}
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
Store user-specific memories
Generate summaries of conversations
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
Learn advanced memory techniques
Build stateful agents