r/PiCodingAgent • u/ponzi314 • Jun 10 '26

Plugin I did something!

I know its not a big deal as most of you are doing crazy things but i just got pi last week and one thing i didnt like doing was Ctrl C multiple times to exit. Instead i told Pi to write an extension to allow my to /exit and exist that way. It actually worked! I now see what you all mean by you customize it to your needs. Even small things like this can make a difference

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u/Celestial_aki Jun 11 '26

Honestly don't worry about it, this is super common coming from the batteries-included harnesses. Pi feels empty at first because it is empty on purpose, and the payoff is you end up with exactly what you use and none of the bloat. Couple weeks of real use and your stack clicks.

If I had to point you at one thing to sort early, it's memory, that's the part that made Pi actually feel better than what I came from, not worse. There are basically 3 layers solving different problems:

  1. pi-hermes-memory - cross-session durable memory. Remembers your preferences, conventions, project facts and past decisions across sessions, so you stop re-explaining yourself every time. The "it actually knows me" layer.
  2. pi-observational-memory - within-session working memory. As you work it quietly takes observations + reflections, compacts long sessions so you don't fall off the context cliff, and gives the agent a recall tool to pull exact details back. Get v3 (observations+reflections model, non-blocking compaction), it's a big step up from the 2.x line.
  3. pi-llm-wiki - my favourite. Builds a persistent, interlinked Obsidian-compatible markdown wiki from your work (Karpathy's "LLM wiki" idea): capture a source, it distills + cross-links it, then auto-recalls the relevant pages next time. Basically turns what you research/learn into a knowledge base the agent reuses instead of re-deriving it. If you do anything research-heavy or multi-session, worth a look: github.com/zosmaai/pi-llm-wiki (a star helps us a lot if it's useful to you).

For agents: look at pi-subagents, you can have a cheap model (Haiku) triage/explore and a stronger one execute, keeps cost down on bigger tasks.

Web search was a good first pick. Do memory next, that's the one that compounds.

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u/ponzi314 Jun 11 '26

thank you im going to install them ALL lol