Long-Term Memory

8 pages in this section.

Long-Term Memory: What Should Survive Between Agent Sessions

Understand long-term memory for AI agents. Learn what facts and preferences to persist across sessions and what ephemeral context to reset.

Python Long Term Memory Explainer Persistence

Long-Term Memory Basics

Learn to save and recall user preferences across sessions using long-term memory. Explore 8 Python examples, from basic typed records to persistence.

Python Long Term Memory Basics Preferences

File-Based and Database-Backed Long-Term Memory Stores

Learn to persist structured agent memory using file-based or database-backed stores. Implement a MemoryStore interface over JSON files or SQLite.

Python Long Term Memory Sqlite Json

Memory Extraction: Deciding What's Worth Remembering

Python Long Term Memory Explainer Advanced

Memory Retrieval: Surfacing the Right Fact at the Right Time

Optimize long-term memory retrieval in AI systems. Learn to use an always-on profile, query-time top-k, and token budgets to surface relevant facts.

Python Long Term Memory Retrieval Context

Memory Conflicts: Handling Contradictory or Stale Saved Facts

Python Long Term Memory Advanced Conflicts

Architecture Guide: A Tiered Memory System for Production Agents

Python Long Term Memory Advanced Architecture

Long-Term Memory Best Practices

Learn ten best practices for designing and maintaining long-term memory in AI agents, covering what to persist, how to store it, and ensuring accuracy.

Python Long Term Memory Best Practices List

Long-Term Memory

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Long-Term Memory