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NVlabs/SoL-Pi

SoL-Pi: Scaling Auto-Research Loops for Efficient Agent Harnesses

#AI coding assistant
Visit GitHub
TypeScript
3.6k
301
1 contributors
MIT License
website
AchievementsView all →
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Momentum

How fast NVlabs/SoL-Pi 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

Sep 9 – Oct 27, 2026

Stars +3,371 in 49 days

05001K
755

Forks +301 in 49 days

050100
61

Merged PRs 19 in 49 days

024
4

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

Top 25 overall

720

Top 25 in TypeScript

122324
Sep 9Sep 16Sep 23Sep 30Oct 7Oct 14Oct 21
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 PRsAll languagesTypeScript
Wed, Sep 9, 2026+0+00Not trendingNot trending
Thu, Sep 10, 2026+66+160Not trendingNot trending
Fri, Sep 11, 2026+755+614#7#1
Sat, Sep 12, 2026+413+250#20#2
Sun, Sep 13, 2026+238+240Not trending#23
Mon, Sep 14, 2026+209+172Not trendingNot trending
Tue, Sep 15, 2026+137+111Not trendingNot trending
Wed, Sep 16, 2026+79+90Not trendingNot trending
Thu, Sep 17, 2026+66+80Not trendingNot trending
Fri, Sep 18, 2026+82+112Not trendingNot trending
Sat, Sep 19, 2026+157+70Not trendingNot trending
Sun, Sep 20, 2026+242+180Not trending#24
Mon, Sep 21, 2026+151+140Not trendingNot trending
Tue, Sep 22, 2026+93+53Not trendingNot trending
Wed, Sep 23, 2026+86+70Not trendingNot trending
Thu, Sep 24, 2026+51+70Not trendingNot trending
Fri, Sep 25, 2026+37+30Not trendingNot trending
Sat, Sep 26, 2026+25+50Not trendingNot trending
Sun, Sep 27, 2026+27+40Not trendingNot trending
Mon, Sep 28, 2026+47+30Not trendingNot trending
Tue, Sep 29, 2026+32+30Not trendingNot trending
Wed, Sep 30, 2026+13+20Not trendingNot trending
Thu, Oct 1, 2026+25+02Not trendingNot trending
Fri, Oct 2, 2026+17+20Not trendingNot trending
Sat, Oct 3, 2026+25+40Not trendingNot trending
Sun, Oct 4, 2026+29+20Not trendingNot trending
Mon, Oct 5, 2026+20+30Not trendingNot trending
Tue, Oct 6, 2026+14+30Not trendingNot trending
Wed, Oct 7, 2026+13+21Not trendingNot trending
Thu, Oct 8, 2026+24+10Not trendingNot trending
Fri, Oct 9, 2026+18+00Not trendingNot trending
Sat, Oct 10, 2026+15+30Not trendingNot trending
Sun, Oct 11, 2026+11+00Not trendingNot trending
Mon, Oct 12, 2026+7+00Not trendingNot trending
Tue, Oct 13, 2026+8+10Not trendingNot trending
Wed, Oct 14, 2026+18+33Not trendingNot trending
Thu, Oct 15, 2026+10+20Not trendingNot trending
Fri, Oct 16, 2026+9+10Not trendingNot trending
Sat, Oct 17, 2026+5+20Not trendingNot trending
Sun, Oct 18, 2026+5+21Not trendingNot trending
Mon, Oct 19, 2026+10+00Not trendingNot trending
Tue, Oct 20, 2026+16+40Not trendingNot trending
Wed, Oct 21, 2026+33+20Not trendingNot trending
Thu, Oct 22, 2026+2+10Not trendingNot trending
Fri, Oct 23, 2026+4+20Not trendingNot trending
Sat, Oct 24, 2026+8+00Not trendingNot trending
Sun, Oct 25, 2026+6+10Not trendingNot trending
Mon, Oct 26, 2026+10+00Not trendingNot trending
Tue, Oct 27, 2026+3+00Not trendingNot trending
Total+3,371+30119
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Mentions and achievements

Where people are talking about NVlabs/SoL-Pi, and every badge it has earned
  1. Oct 11 post

    • Local AI News You Missed - September 2026

      Read full on Reddit

      r/StableDiffusion

  2. Sep 271 post

    • • Combines routine follow-up steps into one action • Keeps large results as compact, recallable handles • Shrinks long logs only when exact quotes match

      Read full on X, posted by @the_osps

      @the_osps · x.com

  3. Sep 241 post

    • This is how you build an efficient agent harness NVIDIA and MIT just let an agent rewrite another agent's harness. It tried around 150 ideas across 500 environments, and only 4 survived. The harness…

      Read full on X, posted by @undefinedKi

      @undefinedKi · x.com

  4. Sep 221 post

    • NVIDIA Introduces SoL-Pi: Auto-Research Loops That Cut Coding Agent Token Traffic by Up to 49%

      Read full on Reddit

      r/machinelearningnews

  5. Sep 201 post

    • This is absolute banger paper from NVIDIA on self-evolving agent harnesses. (bookmark it) they call it SoL-Pi, and it cuts token traffic by nearly half while matching its baseline harness on both…

      Read full on X, posted by @oliviscusAI

      @oliviscusAI · x.com

  6. Sep 191 post

    • 英伟达开源的一个专注token效率的agent harness：SoL-Pi，比原生harness token少35–64%，API成本低50–54% 就是让AI自动检查AI的工作流程，找出重复、绕路、废话、重复读大文件、过度信任摘要这类的浪费，然后把Agent的运行框架改得更省token、省钱，同时不降低完成任务的能力…

      Read full on X, posted by @aigclink

      @aigclink · x.com

  7. Sep 181 post

    • NVIDIA's SoL-Pi, now on Hugging Face paper pages A token-efficient agent harness built by recursively scaling auto-research loops. It cuts token traffic by 44.7-49.0% and API cost by about one third…

      Read full on X, posted by @HuggingPapers

      @HuggingPapers · x.com

  8. Sep 161 post

    • Google's new voice model reasons while it listens. Gemini 3.8 Live calls tools in the background, switches between 97 languages, and costs about $1.38 an hour of conversation. The price is the story.

      Read full on X, posted by @accnetworkAI

      @accnetworkAI · x.com

  9. Sep 132 posts

    • 代码 Agent 越跑越贵，未必该先换模型，先减少 harness 自己制造的重复劳动更关键。 SoL-Pi 把编辑后的验证合并进一次工具调用，将大段观察结果归档为可分页回查的句柄，还在保留原始证据的前提下压缩日志与上下文。关键是全都按需启用，不改 Pi 本体。

      Read full on X, posted by @vintcessun

      @vintcessun · x.com

    • 代码 Agent 越跑越贵，未必该先换模型，先减少 harness 自己制造的重复劳动更关键。 SoL-Pi 把编辑后的验证合并进一次工具调用，将大段观察结果归档为可分页回查的句柄，还在保留原始证据的前提下压缩日志与上下文。关键是全都按需启用，不改 Pi 本体。

      Read full on X, posted by @vintcessun

      @vintcessun · x.com

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