oh-my-pi

I mostly use Oh My Pi. Oh My Pi comes preloaded with most stuff you need, so there's not much need to add extensions. https://github.com/can1357/oh-my-pi

I believe this is the popular "batteries included" kit: https://github.com/can1357/oh-my-pi

oh-my-pi is a fork of Pi that adds a lot of this stuff https://github.com/can1357/oh-my-pi I haven't tried it much though, can't vouch how well it works.

Do you mean oh-my-pi (omp) (https://github.com/can1357/oh-my-pi/) I also use the same. But I use Anthropic models (Opus 5) with it.

Pi [1] is amazing. Since using it I've felt no need to switch harnesses anymore. Or choose Oh My PI [2] for batteries included [1] https://github.com/earendil-works/pi [2] https://github.com/can1357/oh-my-pi

OMP has this, it's called "/shake" where bloat from tool calls and such is turned into an artifact ref instead of remaining in the context. There are other pruning or compaction strategies you can configure too. You can also use "/btw" to have side tangent conversations with the current context but with the benefit that it will not bloat your current context after the tangent is done. I wish other harnesses were prioritising this sort of flexibility with context management, but they're likely more incentivised on optimising their cache rates https://github.com/can1357/oh-my-pi

oh-my-pi is but it's kind of overwhelming https://github.com/can1357/oh-my-pi

None of that is necessary. It’s like people who install Obsidian and then spend weeks obsessing over the “top ten must-have plugins” for the ecosystem instead of just using it as it’s intended: as a tool to take notes. The purpose of a coding LLM is basically to assist with building something. So start with an actual concrete goal: something you want to build. Maybe even take a past project and try to recreate it, but this time using an LLM-augmented workflow. Don’t get bogged down in a bunch of orchestration/MCP/skills/etc. - keep it simple and expand as you go. The best thing you can do is actually use these tools to help you develop an intuitive sense of their strengths and weaknesses. You don’t need to watch videos or tutorials. Grab something a basic agent harness like oh-my-pi [1], throw $30–50 on OpenRouter, and start playing with

https://github.com/can1357/oh-my-pi https://stencil.so/blog/prewalk most advanced, configurable and capable harness of all time, and i use both 200$ subs with it. Has a huge learning curve though so if you're not into that i'd go with whatever you already use the most

Apparently "/prewalk" is built into https://github.com/can1357/oh-my-pi, which I guess is a lot like "Oh My ZSH?" Pi with batteries included. There are a lot of interesting ideas in it, mostly none that I have applied to my own workflows. Curious if anyone has used it?

I replaced Raycast recently with Sol[0], but SuperCmd[1] is also really good. And I’m testing Helium Browser[2]. It’s based on Chromium, but has changed a lot under the hood and I’ve been daily driving it. Also replacing CapCut with OpenCut[3]. I’ve also completely ditched Codex CLI with Pi[4] and now am trying OMP[5]. 0. https://github.com/ospfranco/sol 1. https://github.com/SuperCmdLabs/SuperCmd 2. https://github.com/imputnet/helium 3. https://github.com/OpenCut-app/OpenCut 4. https://github.com/earendil-works/pi 5. https://github.com/can1357/oh-my-pi

Funny you mention that because the OMP GitHub issues (https://github.com/can1357/oh-my-pi/issues) is almost exclusively attended to by a very efficient bot. I routinely submit issues and they’re replicated and resolved (via PRs) in ~30 mins. To your question: it’s the difference between one person and an agent working on something vs an experienced dev and the entire community. Time and tokens too of course.

Currently using Oh My Pi (https://github.com/can1357/oh-my-pi) and appreciate the batteries included approach. From my limited time using pure Pi, I found quite a few of the plugins lacking and had no desire to upgrade/fix and maintain them myself. I know others feel differently though. I like the idea of keep Pi minimal but having “official”, high quality optional plugins to make it more usable.

I use both the openai subscription and the opencode go subscription. I use the go subscription for my personal work and the openai subscription for my consulting work. The differences between the models are minimal, but I usually stick with gpt-5.4-mini, gpt-5.4, mimo-pro-2.5, deepseek-v4-pro. These latter ones have way more usage than even using 5.4-mini so I tend to use them in personal projects for that reason. My harness is https://github.com/can1357/oh-my-pi. I trust it...enough. It updates very frequently so as a safe guard I run it sandboxed with https://github.com/containers/bubblewrap so it can only access the project folder and some whitelisted config files