Learning Stores

Each store captures a different type of knowledge.

A Learning Machine coordinates multiple stores, each optimized for a specific type of knowledge.

Store	What it captures	Scope	Use case
User Profile	Structured fields (name, role, preferences)	Per user	Personalization
User Memory	Unstructured observations and facts	Per user	Context retention
Session Context	Goals, plans, and progress	Per session	Long-running tasks
Entity Memory	Facts about external entities	Configurable	Knowledge graphs
Learned Knowledge	Insights that transfer across users	Configurable	Team-wide improvement
Decision Log	Decisions with reasoning	Per agent	Auditing and learning

Guides

User Profile

Structured facts about users

User Memory

Unstructured observations from conversations

Session Context

Goals, plans, and progress for active sessions

Entity Memory

Facts about companies, projects, people

Learned Knowledge

Insights that benefit all users

Decision Log

Decisions with reasoning for auditing