Vesper is an intelligent, local memory system designed for AI agents, specifically for Claude Code, that prioritizes learning over mere recall. It addresses the limitations of standard conversational history and basic key-value memory by implementing a sophisticated three-layer architecture: Working Memory for recent interactions, Semantic Memory powered by HippoRAG for deep knowledge graph traversal, and Procedural Memory for learning skills and workflows. This innovative approach ensures AI agents not only remember facts but also learn user preferences, contextual patterns, and adapt over time, significantly improving answer quality and personalization with ultra-low latency.
