Memory Overview

Persistent memory and state management for AI agents

Memory Overview

PraisonAI provides robust memory and persistence capabilities to help your agents remember conversations, store state, and maintain context across sessions.

Quick Start

from praisonaiagents import Agent

# Agent with automatic memory persistence
agent = Agent(
    name="Assistant",
    memory={"session_id": "my-session"}  # Enable memory with session
)

agent.chat("Remember my name is John")
# Later...
agent.chat("What's my name?")  # "Your name is John"

Memory Types

Type	Purpose	Best For
Session Memory	Conversation history	Chat continuity
Long-term Memory	Cross-session recall	User preferences
Graph Memory	Relationship tracking	Knowledge graphs

When to Use What

Need	Solution	Link
Persist conversations	Database adapters	Storage →
Resume sessions	Session ID	Session Resume →
Store user preferences	Long-term memory	Advanced Memory →
Track relationships	Graph memory	Graph Memory →
Decay-weighted, self-hosted recall	Dakera memory	Dakera Memory →

Key Concepts

Session Persistence

Continue conversations across restarts

Database Support

22+ supported database backends

Advanced Memory

Long-term memory and recall

Graph Memory

Relationship-aware memory

Next Steps

Storage Options

Configure database backends

Quick Start

Get started in 5 minutes