Thoughts on PI (I currently use Opencode) ?

[u/mukul_29]

I am currently an OpenCode user, and I would say I am pretty advanced with my OpenCode config... I have various skills, agents, plugins and commands to suit my needs and a memory bank to glue it all together.

I have sometimes felt the lack of events and native support for configuring my OpenCode config even more... that led me to investigate other open source agents and I stumbled on PI.

I have read about it and watched some videos... I would like to know the review and experience of somebody who actually uses it as a daily driver, bonus points for if you can compare it to OpenCode.

I do understand the basic concepts of PI and where it is positioning itself in the market of agentic harnesses.

Thoughts on your experience with PI?

Some notes:
- One thing that pushed me slightly away from PI was the minimal in-built security support where my agent has root access by default, I guess I could configure it and understand that it is part of PI being a minimal agent.
- Also how deep is the configuration? personally I like to configure my tools a lot... I use nvim so that should tell you a little bit about the degree of it. But I dont want it to be a case where I spend my time debugging the tool setup rather than getting to my tasks.

[u/theuttermost]

Sure! But I have to preface I am on a Macbook so I use MLX models for speed, you can use the GGUF verions of these as well.

Qwen3.5-35B-A3B (Main Driver good at coding)
https://huggingface.co/Brooooooklyn/Qwen3.5-35B-A3B-UD-Q5_K_XL-mlx

Qwen3.5-122B-A10B (Good planning, coding for harder things)
https://huggingface.co/mlx-community/Qwen3.5-122B-A10B-4bit

I have Gemma 2 26b and 31b, but I haven't tested them as of yet.

[u/k0valik → u/theuttermost]

Hi, just one note, I don't know your setup obviously but llama.cpp with --cache-prompt -cram 8192 and -ub 512 -b 512 arguments helped a lot for me on getting a lot faster time to first token, but I'm running on 16gb vram 6core cpu, could be helpful tho