This gives your AI coding assistants a persistent memory layer across sessions. Instead of re-explaining your project setup or architectural decisions every time you start a new chat, it stores context, learns from past interactions, and surfaces relevant information through semantic search. Works with Claude, Cursor, GitHub Copilot, and Windsurf. Think of it as building up a knowledge base that remembers your coding patterns, project-specific lessons, and technical decisions so you're not constantly repeating yourself. Useful if you're working on long-running projects where context accumulates or juggling multiple codebases that share similar patterns.
claude mcp add --transport stdio io.github.cachly-dev-mcp-server -- npx -y @cachly-dev/mcp-server