Aria AI Ecosystem

Aria Core

Live · evolving

The memory that turns a model into an entity.

What it does

It gives an AI real memory: it stores its identity, its context and the continuity of what it learned, so it doesn't start from scratch in every conversation.

It's headless — no screen of its own — and connects over an API. It's multi-tenant and is also offered as 'memory as a service' for any app or agent.

How it works

Each memory is stored as a vector in a vector database (RAG) and retrieved by meaning, not by exact word; 'life' crons keep the corpus current.

Today it's what makes Aria work. It's being rebuilt simpler, migrating the memory one-to-one without losing continuity.

Capabilities
  • Persistent memory of identity, context and continuity
  • Retrieval by meaning with a vector store (RAG)
  • Headless and multi-tenant: memory as a service
Skills & API
Skill

A clean memory API — save and retrieve — that any app or agent can operate.

API

A memory API that any app or agent consumes to persist and retrieve context.