Moerae - AI Memory

What problem does it solve?

Moerae - AI Memory reduces the effort of building and maintaining an external, manually indexed memory layer by letting you store content once and retrieve it later through a simple put-and-search workflow, while the system handles embedding, indexing, and lifecycle management.

Core Features & Use Cases

• Automated local embedding and vector indexing: store data for semantic retrieval without manual indexing or context-window management.
• Hierarchical scoping with conversation isolation and project-level promotion: search within a conversation by default, and optionally search promoted content across a project.
• Large-content handling via metadata summaries: automatically switch to embedding metadata only for longer inputs, while still allowing full retrieval later.

Quick Start

Store a memory in a project by asking: “Moerae, put into project myproject the fact 'The API rate limit is 1000 req/min' and make it searchable later.”