.1 Memories
A Memory defines which data an Agent can reach when it answers a query. It is the bridge between an agent and a data source: you create a Memory over some data, initialize it, and then attach it to an agent on the Agent System canvas. The same Memory can be attached to several agents, and one agent can hold several memories.
.2 Embedding Configuration
An Embedding Configuration is a saved connection to an embedding model: a model that turns text into vectors so it can be searched by meaning rather than by exact words. Graph Memories use one to vectorize the content of the entities they cover, which is what makes similarity-based retrieval possible when an Agent looks up relevant data.
.3 Provider Configuration
A Provider Configuration is a saved connection to a Large Language Model (LLM) service. It records which provider to use and a Config (JSON) block that holds the credentials, endpoint, and model name for that provider. Agents reference a Provider Configuration to decide which model runs their prompts, so you create the configuration once and reuse it across many agents.
.4 Agent System
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