A layered memory system for AI Agents that combines symbolic short-term memory with hierarchical long-term storage. It optimizes performance by offloading verbose tool logs into compact Mermaid symbols, reducing token usage by up to 61% while improving accuracy. The system organizes experiences into a semantic pyramid (L0-L3), enabling structured persona management instead of flat vector retrieval. Integrated with OpenClaw and Hermes, it provides a traceable and lossless memory architecture.
Claude Context is an MCP (Model Context Protocol) plugin developed by Zilliztech, designed to provide deep code context to Claude Code and other AI coding assistants. It leverages semantic search to efficiently retrieve relevant code snippets from entire codebases, injecting them directly into the AI's context. This approach addresses the limitations of context windows and high costs associated with large codebases by storing the codebase in a vector database for efficient management and cost-effectiveness.