[solarkraft]

I happen to be somewhat familiar with OpenCode and am considering using it as a personal AI workspace (some chat & agentic behavior, not worrying about initiative behavior just yet, I’d try to DIY memory with local files and access to my notes) because it seems to have a decent ecosystem.

Pi appears to have a smaller, less “pre-made” ecosystem, but with more flexibility, enthusiasm and extensibility.

Is this correct? Should I look towards Pi over OpenCode? What are the UI options?

[mikodin]

I've been using PI for this - just switch to "oh my pi" and am liking it!

Honestly, it's been a dream, I have it running in a docker-sandbox with access to a single git repo (not hosted) that I am using for varied things with my business.

Try it out, it's super easy to setup. If you use docker sandbox, you can just follow what is necessary for claude, spin up the sandbox, exit out, exec into it with bash and switch to Pi.

[amunozo]

I have the same question as you, but I want to add that I used OpenCode for general tasks like writing, organization and such but with a context of .md files and it works wonders. And like you, I am considering trying a better suited harness for this task.

[solarkraft]

What issues are you facing with OpenCode?

I looked a bit into the reasoning for Pi’s design (https://mariozechner.at/posts/2025-11-30-pi-coding-agent/#to...) and, while it does seem to do a lot of things very well around extensibility, I do miss support for permissions, MCP and perhaps Todos and a server mode. OpenCode seems a lot more complete in that regard, but I can well imagine that people have adapted Pi for these use cases (OpenClaw seems to have all of these). So it’s definitely not out of the race yet, but I still appreciate OpenCodes relative seeming completeness in comparison.

[mritchie712]

I think you're reading it exactly right