SOAT Memory Server

Example Use Cases

• 1

  Persistent context storage across lifecycles.

• 2

  Semantic recall via high-dimensional vector similarity.

• 3

  Seamless integration with LLMs using the Model Context Protocol.

Description

SOAT is a framework that enables AI agents to maintain persistent context and recall relevant information through semantic search and vector embeddings. It supports ingestion, storage, and retrieval of documents and files, integrating seamlessly with agent runtimes via the Model Context Protocol and a REST API. Powered by PostgreSQL with pgvector and local embedding models, SOAT offers scalable and interoperable memory infrastructure for sophisticated AI applications.