n8n, Dify, and Ollama might be the best self-hosted AI automation stack right now
… Dify handles the second layer as the LLM app platform. …
… Dify handles the second layer as the LLM app platform. …
… Ollama served a purpose when local LLMs were new and the tooling around them was rough. …
… It’s not a fork or a separate project; it’s a community-driven build of the exact same MIT-licensed source code that powers VS Code. …
… Running a local LLM relies heavily on GPU acceleration, because without it, the responses would slow down to a crawl. …
… After all, LLMs have been "visual" for a while, so it didn't feel particularly groundbreaking. …
… Overall, the pattern was clear: Codex was instruction-based rather than assumption-driven. …
… It’s also an event-driven JavaScript that responds to HTTP requests using standard Web APIs like fetch, Request, and Response. …
… The pattern is older than LLMs. …
… It didn’t feel like I had an LLM pinned into a sidebar; it felt like the editor finally understood my project. …