Chapter 3: Learning, Memory, and State
April 13, 2026 · View on GitHub
Welcome to Chapter 3: Learning, Memory, and State. In this part of Agno Tutorial: Multi-Agent Systems That Learn Over Time, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.
Agno's differentiator is persistent learning behavior across sessions and users.
Memory Model
| Type | Purpose |
|---|---|
| user profile memory | cross-session personalization |
| conversation memory | current dialogue continuity |
| learned shared knowledge | transferable improvements across users |
Design Rules
- separate volatile session state from durable memory
- validate memory quality before promotion to shared knowledge
- define retention and deletion policies early
Source References
Summary
You now know how to structure Agno memory for sustainable long-term improvement.
Next: Chapter 4: Multi-Agent Orchestration
Source Code Walkthrough
libs/agno/agno/memory/ and storage backends
Memory and state management are implemented in libs/agno/agno/memory/. This module contains the memory manager, session storage, and user memory classes that Chapter 3 covers. The storage backends (SQLite, PostgreSQL, Redis) show how Agno persists state across runs — review the base storage interface to understand the abstraction layer before examining specific implementations.