n8n.io Reviews

opencode Reviews

n8n.io mentions (256)

• Self-Host n8n on a VPS with Docker

  n8n — open source, self-hostable. The hosted cloud tier exists if you'd rather not run it, but self-hosting is the whole point here. - Source: dev.to / 10 days ago

• Auto-Add Captions to Every Video Your Team Uploads (n8n + FFmpeg)

  You'll need an n8n instance (cloud or self-hosted), an FFmpeg Micro API key from ffmpeg-micro.com, and a cloud storage folder your team already uses for video files. - Source: dev.to / 21 days ago

• SOC-in-a-Box: One LLM, Eight Hats, A Production-Bar AI SOC on a Single GPU

  n8n and similar visual workflow tools were on the list for one specific reason: leadership likes seeing the boxes-and-arrows. But the LLM nodes aren't first-class — you'd be wrapping every model call in HTTP, and the graph is in a database, not in code that's reviewable in a PR. Auditability and reproducibility are both worse than the LangGraph + bus path. (n8n is a great fit for non-LLM SOAR-style automations,... - Source: dev.to / 27 days ago

• n8n Tutorial: How to Build Your First No-Code Automation Workflow in 2026

  Sign up at n8n.io (free cloud version is perfect to learn). - Source: dev.to / 27 days ago

• Building a home server with a mini PC

  n8n is a workflow automation tool, similar in concept to Zapier or Make, but one you can self-host. It lets you connect applications and services together through a visual node-based interface and build fairly complex automations without writing code. It's one of the services I've been getting the most out of lately. - Source: dev.to / about 1 month ago

opencode mentions (67)

• ZCode: Claude Code from the Makers of GLM

  Https://opencode.ai/ OpenCode was the first agent harness I used, and I have always like it. You can configure a wide variety of providers, but it's open source and has a number of core contributors. The other opinionated option is Pi (the Pi agent harness). This is a great lightweight option and also supports a number of providers. You can also use local model servers. - Source: Hacker News / 2 days ago

• AI for Less Popular Programming Languages

  OpenCode with GLM 5.2 wrote custom Emacs Lisp to pinpoint within the file where the missing or extra bracket could be. It rewrote the custom code to check various parts of the file. Each of those is a tool use and many, many tokens burned. The next step is to turn those custom scripts written by the AI agent into a tool to speed up the process, or a skill that shows how to use other tools to speed up the process. - Source: dev.to / 5 days ago

• How to Run Reliable Local LLM Agents on an RTX 3090: A Benchmark (5 Models, Priced in Watts)

  I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0% — never edited a single file. - Source: dev.to / 6 days ago

• The head chef model of AI collaboration

  Set up your stations. I work in two Ghostty terminals. The left side is for planning and viewing, the right for synchronous agents running through OpenCode. - Source: dev.to / 14 days ago

• Testing GLM-5.2 on OpenCode: I'm impressed!

  If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / 15 days ago