Vesper Memory

Example Use Cases

• 1

  Store and retrieve structured memories across multiple conversations.

• 2

  Learn user preferences and workflows to provide personalized assistance.

• 3

  That require fast, local memory with multi-hop reasoning and semantic graph traversal.

Description

Vesper Memory is a multi-layered memory system designed for AI agents like Claude Code, providing working, semantic, and procedural memory layers. It enables agents to not just remember facts but learn user preferences, workflows, and context across conversations, improving answer quality and personalization. The system is easy to install locally with Docker and Node.js, requires no authentication, and offers high performance with sub-millisecond latency and perfect recall.