Wuniq KE is a local, privacy-first memory layer for AI workflows. It maintains structured, persistent project knowledge that lives alongside your files, automatically stays in sync as they change, and works across different AI clients and sessions. Built for developers and heavy AI users, it solves the problem of stale or disconnected context that plagues static files like CLAUDE.md or built-in model memory.
In the Developer Tools space, Wuniq KE takes a focused approach. AI agents and tools losing context about project state, decisions, and evolving files across sessions. It is built as a consumer product for developers and AI power users. Wuniq KE follows a freemium model. It runs on the web and the command line, and it can be self-hosted.
Behind Wuniq KE is Wuniq, and it first shipped in 2024. Among its 5 catalogued features are project memory, file synchronization, and local storage. It exposes integrations via an MCP server. Wuniq KE is currently in beta.
Summary written by a language model from the project’s public pages.
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