AI-Native Workspace: A Four-Layer Architecture for Turning Coding Agents into a Personal OS
TL;DR — AI-Native Workspace is an open-source framework for running a real research or engineering workspace with AI coding agents. Its core idea is simple: separate the Model, Agent, Protocol, and Application layers so you can swap Claude, DeepSeek, Codex, Cursor, MCP servers, project docs, and knowledge workflows without rewriting everything. Most AI coding workflows start as a pile of useful fragments: a CLAUDE.md, a few prompts, some shell scripts, maybe a .cursorrules file, and a note that says “remember to update the TODO.” That works for one project. It starts breaking when the workspace grows to five projects, three model providers, a wiki, an inbox, a handful of local services, and months of accumulated decisions. ...