Engram: Memory by Weaviate

Engram is a managed memory service designed to enhance agentic applications by integrating memory into systems, ensuring personalization, and enabling continuous learning. Built on the Weaviate vector database, Engram uses asynchronous pipelines to process raw data into structured memories, which are then stored and queried efficiently. The system addresses the challenges faced by long context windows in language models by maintaining memory as structured data rather than an ever-growing context. Engram allows for customization through templates and configurable pipelines, enabling users to define topics and scopes that determine how memories are extracted, categorized, and stored. The service supports various input types and includes features like buffers for batch processing, ensuring low latency and efficient memory management. Engram's flexibility makes it suitable for a range of applications, from chatbots to multi-agent systems, by providing a robust framework for memory management, allowing agents to learn and adapt based on historical interactions.