npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@jc4649/pi-autocompact

v0.1.0

Published

pi coding-agent extension: proactive auto-compaction with a configurable, cheap summarization model (formerly deepseek-compact)

Readme

@jc4649/pi-autocompact

Formerly deepseek-compact.

Proactive, low-cost context compaction for the pi coding agent.

Three lightweight but effective parts:

  1. Early trigger — compacts at 50% of the context window (capped at 256K tokens), far sooner than pi's default (window − 16K), so you rarely hit a hard wall mid-task.
  2. Configurable summarizer — summarizes with a cheap model instead of your expensive conversation model. Default DeepSeek V4 Flash; override with PI_AUTOCOMPACT_MODEL. Falls back to the live session model if the configured one isn't available.
  3. Tool-result stripping — before summarizing, elides bulky non-error tool results from the middle of the compact zone (head/tail, tool calls, and errors are preserved), shrinking what the summarizer has to read.

After an auto-triggered compaction it injects a follow-up turn so the agent resumes the task instead of stalling idle.

Configure the summarizer model

PI_AUTOCOMPACT_MODEL="provider/model"      # e.g. anthropic/claude-haiku-4-5

Everything after the first / is the model id (so openrouter/meta/llama-3 works). Unset or malformed → DeepSeek V4 Flash.

Setup

Disable pi's built-in auto-compaction so the two don't double-trigger, in ~/.pi/agent/settings.json (or <project>/.pi/settings.json):

{ "compaction": { "enabled": false } }

Install

pi install @jc4649/pi-autocompact

Part of the pich harness.

License

MIT © 2026 jc4649