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jonaslsaa/pi-optchat

Persistent infinite memory with profiles, background agents, and conversation imports for Pi.

#AI coding assistant#AI memory
Visit GitHub
TypeScript
273
23
2 contributors
Custom license
website
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Momentum

How fast jonaslsaa/pi-optchat is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 5 – Oct 19, 2026

Stars +254 in 15 days

050100150
120

Forks +23 in 15 days

0510
7

Merged PRs 145 in 15 days

0204060
42

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 5Oct 7Oct 9Oct 11Oct 13Oct 15Oct 17Oct 19
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Mon, Oct 5, 2026+0+133
Tue, Oct 6, 2026+0+342
Wed, Oct 7, 2026+120+32
Thu, Oct 8, 2026+66+729
Fri, Oct 9, 2026+23+47
Sat, Oct 10, 2026+9+28
Sun, Oct 11, 2026+8+20
Mon, Oct 12, 2026+6+015
Tue, Oct 13, 2026+8+04
Wed, Oct 14, 2026+1+01
Thu, Oct 15, 2026+3+00
Fri, Oct 16, 2026+3+10
Sat, Oct 17, 2026+1+04
Sun, Oct 18, 2026+3+00
Mon, Oct 19, 2026+3+00
Total+254+23145
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 81 post
    • 让 Pi 的长会话不靠上下文压缩丢信息,改用摘要树持久保存记忆,并按 profile 分开管理。 装完 Pi-OptChat,每个 profile 就是一条不会结束的对话,记忆攒在一棵摘要二叉树里,不靠压缩上下文硬撑。每轮开局上下文是空的,只带一个封顶 128 KB 的记忆视图,agent 靠 zoom 和 date 翻回原话,另外有个默认关着的…

      Read full on X, posted by @QingQ77

      @QingQ77 · x.com

  2. Oct 63 posts
    • pi-optchat: never compact again - endless chat as a memory tree

      Read full on Reddit

      r/LocalLLaMA

    • pi-optchat: never compact again - endless chat as a memory tree

      Read full on Reddit

      r/LocalLLaMA

    • pi-optchat: never compact again - endless chat as a memory tree

      Read full on Reddit

      r/PiCodingAgent

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