cachly
A background MCP memory layer that pre-briefs Claude Code, Cursor, Copilot and Windsurf every session and learns from every commit, with an EU-hosted semantic cache and managed Valkey alongside it.
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cachly.devAbout cachly
cachly is persistent memory for AI coding assistants, built around the observation that every morning a developer re-explains the same codebase to a tool that forgot it overnight. It installs as an MCP server with a single autopilot command and then runs entirely in the background: at the start of every session it sends the assistant a briefing covering the stack, the open bugs and what the team learned since last time, and it learns continuously from commits without the developer having to remember to save anything. The deliberate design choice is zero user effort — no commands to invoke, no lessons to file, no context to paste — on the theory that any memory system requiring discipline will be abandoned. It works with Claude Code, Cursor, GitHub Copilot, Windsurf and VS Code, and ships 126 MCP tools. The product is actually three: Team Brain, the shared memory layer priced by seat; a semantic cache priced by storage volume, which serves repeat prompts from cache instead of spending tokens; and managed Valkey instances priced by size. Everything runs on German servers under GDPR, which is the pitch to EU teams that cannot send codebase context to US infrastructure. The npm package reports over 30,000 installs.
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