Remind Memory Layer

Example Use Cases

• 1

  A project-local or centralized memory system to store and recall generalized knowledge from experiences.

• 2

  Consolidate episodic data into abstract concepts with confidence and conditions for better reasoning.

• 3

  Integrated task management, entity relationship tracking, and outcome-based learning within their memory.

Description

Remind is a memory layer designed for large language models that consolidates specific experiences into generalized concepts, mimicking human memory. It supports auto-ingestion of conversation text, entity graph linking, outcome tracking, and task management, accessible via CLI or a centralized MCP server with a web UI and REST API. This enables agents to maintain project-local or centralized memory with advanced retrieval and consolidation features.