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Nehanth/pooled

Peer-to-peer LLM inference in the browser: pool your devices to run big open models, for chat and coding agents.

Visit GitHub
JavaScript
626
100
2 contributors
MIT License
website
AchievementsView all →
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Momentum

How fast Nehanth/pooled 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 6 – Nov 5, 2026

Stars +625 in 61 days

050100150
111

Forks +100 in 61 days

01020
16

Merged PRs 238 in 61 days

0102030
29

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

Top 25 in JavaScript

172523
Sep 6Sep 14Sep 22Sep 30Oct 8Oct 16Oct 24Nov 1
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 PRsJavaScript
Sun, Sep 6, 2026+0+05Not trending
Mon, Sep 7, 2026+1+12Not trending
Tue, Sep 8, 2026+53+81Not trending
Wed, Sep 9, 2026+111+162#17
Thu, Sep 10, 2026+44+90Not trending
Fri, Sep 11, 2026+38+70Not trending
Sat, Sep 12, 2026+15+10Not trending
Sun, Sep 13, 2026+12+10Not trending
Mon, Sep 14, 2026+8+20Not trending
Tue, Sep 15, 2026+10+10Not trending
Wed, Sep 16, 2026+21+10Not trending
Thu, Sep 17, 2026+10+00Not trending
Fri, Sep 18, 2026+54+80#25
Sat, Sep 19, 2026+34+40Not trending
Sun, Sep 20, 2026+11+20Not trending
Mon, Sep 21, 2026+3+10Not trending
Tue, Sep 22, 2026+5+00Not trending
Wed, Sep 23, 2026+3+10Not trending
Thu, Sep 24, 2026+8+00Not trending
Fri, Sep 25, 2026+6+50Not trending
Sat, Sep 26, 2026+10+32Not trending
Sun, Sep 27, 2026+3+120Not trending
Mon, Sep 28, 2026+20+125Not trending
Tue, Sep 29, 2026+55+1228#23
Wed, Sep 30, 2026+10+217Not trending
Thu, Oct 1, 2026+11+029Not trending
Fri, Oct 2, 2026+3+212Not trending
Sat, Oct 3, 2026+2+04Not trending
Sun, Oct 4, 2026+4+01Not trending
Mon, Oct 5, 2026+2+10Not trending
Tue, Oct 6, 2026+4+10Not trending
Wed, Oct 7, 2026+2+00Not trending
Thu, Oct 8, 2026+1+06Not trending
Fri, Oct 9, 2026+5+20Not trending
Sat, Oct 10, 2026+2+01Not trending
Sun, Oct 11, 2026+0+09Not trending
Mon, Oct 12, 2026+2+121Not trending
Tue, Oct 13, 2026+1+017Not trending
Wed, Oct 14, 2026+2+014Not trending
Thu, Oct 15, 2026+0+12Not trending
Fri, Oct 16, 2026+2+019Not trending
Sat, Oct 17, 2026+7+10Not trending
Sun, Oct 18, 2026+2+00Not trending
Mon, Oct 19, 2026+3+00Not trending
Tue, Oct 20, 2026+3+00Not trending
Wed, Oct 21, 2026+0+00Not trending
Thu, Oct 22, 2026+0+00Not trending
Fri, Oct 23, 2026+2+10Not trending
Sat, Oct 24, 2026+1+00Not trending
Sun, Oct 25, 2026+5+00Not trending
Mon, Oct 26, 2026+2+00Not trending
Tue, Oct 27, 2026+2+00Not trending
Wed, Oct 28, 2026+0+10Not trending
Thu, Oct 29, 2026+2+00Not trending
Fri, Oct 30, 2026+1+10Not trending
Sat, Oct 31, 2026+1+00Not trending
Sun, Nov 1, 2026+0+00Not trending
Mon, Nov 2, 2026+4+00Not trending
Tue, Nov 3, 2026+0+11Not trending
Wed, Nov 4, 2026+2+00Not trending
Thu, Nov 5, 2026+0+00Not trending
Total+625+100238
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Mentions and achievements

Where people are talking about Nehanth/pooled, and every badge it has earned
  1. Oct 81 post

    • I made a peer-to-peer inference engine, and now it can run your OpenClaw 🦞 Qwen3.6 35B is too big for my RTX 5070, so my Mac lends the rest of the memory. The model runs across both machines at ~36…

      Read full on X, posted by @nehanth_n

      @nehanth_n · x.com

  2. 8 days earlier
  3. Sep 301 post

    • Peer-to-peer LLM inference in browser: pool your devices for big models. See link below 👇

      Read full on X, posted by @RepoGems

      @RepoGems · x.com

  4. Sep 281 post

    • A 35B model doesn't fit on your phone. Neither does a coding agent. Pooled (formerly SwarmLLM) runs both across the devices you already have, in the browser. Peer-to-peer and open source. Here it…

      Read full on X, posted by @nehanth_n

      @nehanth_n · x.com

  5. 12 days earlier
  6. Sep 162 posts

    • "SwarmLLM runs large language models across devices in room, in their browser tabs. Each device holds slice of model; a 10 KB activation vector passes between them over direct WebRTC connections.…

      Read full on Reddit

      r/LovingAIAgents

    • "SwarmLLM runs large language models across devices in room, in their browser tabs. Each device holds slice of model; a 10 KB activation vector passes between them over direct WebRTC connections.…

      Read full on Reddit

      r/LovingOpenSourceAI

  7. Sep 131 post

    • 把装不下的27B模型拆给多台设备的浏览器标签页，SwarmLLM把分布式推理做成了无需安装的 WebGPU 加 WebRTC 运行时。 核心取舍很清晰：设备各持一段层，链路只传10KB隐藏状态；用投机解码和批量预填减少网络往返，WGSL内核则榨干显存带宽。更难得的是所有优化都用黄金测试保证输出一致。适合临时聚合闲置设备，但房间成员可见对话，隐私边界要看清。

      Read full on X, posted by @vintcessun

      @vintcessun · x.com

  8. Sep 111 post

    • SwarmLLM – Every device brings a slice. Together they run the whole model

      Read full on Hacker News

      Hacker News

  9. Sep 101 post

    • GB10 上推测解码 16 tok/s 反超 llama.cpp 的 8.0 是真活,单台设备装不下 27B 大模型，这个项目把模型按层切开分给同一房间里各设备的浏览器标签页，免安装、经 WebRTC 直连做 P2P 推理。

      Read full on X, posted by @QingQ77

      @QingQ77 · x.com

  10. Sep 71 post

    • Peer-to-peer LLM inference in browser tabs, Qwen 3.8 27B

      Read full on Hacker News

      Hacker News

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