AI Agents

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. ...

TL;DR — n8n and Dify often show up together in self-hosted AI evaluations, but they want to own very different layers of your stack. After evaluating both against a custom self-hosted AI setup, we adopted n8n and skipped Dify. The decision came down to one question — “what slice does this want to own, and do I already own that slice?” — and the answer was opposite for the two platforms. This post lays out the framework so you can run the same evaluation on your own stack. ...