AI Repo Acceleration Report

Which AI repos on GitHub are speeding up, and which have gone flat — measured from our own daily star snapshots. Updated 2026-10-30.

Download this report as CSV ↓ · JSON

This week’s takeaways

From 811 repos with a measurable pace, out of the 2,913 we have stored snapshots for; “the week before” is our stored report for the previous week. Every figure is a delta between two of our stored daily snapshots.

Tracked repos2,91370,638 snapshots on 134 days
History starts2026-06-19nothing stored from before this date
Snapshotted recently973in the last 6 days
Measurable pace811have two snapshots 5-12 days apart
Median pace3.2stars per day, across those 811
Stars gained+294,813total across those 811 repos
Accelerating148of 728 with two windows
Steady337of 728 with two windows
Stalled216of 728 with two windows
Declining27of 728 with two windows

Accelerating hardest

Biggest increase in stars per day versus each repo’s own prior window — not versus other repos. Both windows and their exact dates are shown, because a 5-day and a 10-day window are not the same measurement.

  1. 1
    TauricResearch/TradingAgents
    310/day → 929/day +619/day Python
    now: 2026-10-25 → 2026-10-30 (5 days, +4,645 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +1,552 stars)
  2. 2
    AgriciDaniel/claude-seo
    160/day → 756/day +596/day Python
    now: 2026-10-25 → 2026-10-30 (5 days, +3,778 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +799 stars)
  3. 3
    Panniantong/Agent-Reach
    416/day → 906/day +491/day Python
    now: 2026-10-25 → 2026-10-30 (5 days, +4,531 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +2,078 stars)
  4. 4
    feder-cr/invisible_playwright_mcp
    378/day → 2.2/day +380/day Python
    now: 2026-10-23 → 2026-10-28 (5 days, +11 stars) · before: 2026-10-18 → 2026-10-23 (5 days, -1,889 stars)
  5. 5
    debpalash/VoiceStudio
    1,602/day → 1,934/day +331/day Python
    now: 2026-10-24 → 2026-10-29 (5 days, +9,669 stars) · before: 2026-10-19 → 2026-10-24 (5 days, +8,012 stars)
  6. 6
    feder-cr/git-ai
    292/day → 3.8/day +296/day Go
    now: 2026-10-25 → 2026-10-30 (5 days, +19 stars) · before: 2026-10-20 → 2026-10-25 (5 days, -1,462 stars)
  7. 7
    obra/superpowers
    503/day → 776/day +274/day Shell
    now: 2026-10-25 → 2026-10-30 (5 days, +3,882 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +2,513 stars)
  8. 8
    rocketride-org/rocketride-server
    6.2/day → 221/day +227/day Python
    now: 2026-10-25 → 2026-10-30 (5 days, +1,105 stars) · before: 2026-10-20 → 2026-10-25 (5 days, -31 stars)
  9. 9
    thedotmack/claude-mem
    203/day → 387/day +184/day TypeScript
    now: 2026-10-25 → 2026-10-30 (5 days, +1,937 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +1,016 stars)
  10. 10
    Leonxlnx/taste-skill
    532/day → 701/day +168/day JavaScript
    now: 2026-10-25 → 2026-10-30 (5 days, +3,503 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +2,662 stars)

Stalled: were growing, now flat

Repos that were gaining at least 1 star a day in their prior window and have since dropped to near-flat — at or below a third of their own previous rate. Ordered by how many stars per day they lost.

  1. 1
    anthropics/claude-plugins-official
    870/day → 230/day −639/day Python
    now: 2026-10-21 → 2026-10-26 (5 days, +1,152 stars) · before: 2026-10-16 → 2026-10-21 (5 days, +4,348 stars)
  2. 2
    hujjun/mcd-saver-strategist
    132/day → 36/day −96/day Python
    now: 2026-10-25 → 2026-10-30 (5 days, +182 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +661 stars)
  3. 3
    ctoldigital/axuse
    89/day → 29/day −59/day JavaScript
    now: 2026-10-25 → 2026-10-30 (5 days, +147 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +444 stars)
  4. 4
    jatechan/ai-data-extractor
    34/day → 0.0/day −34/day Python
    now: 2026-10-24 → 2026-10-29 (5 days, +0 stars) · before: 2026-10-19 → 2026-10-24 (5 days, +171 stars)
  5. 5
    shuyu-labs/transwork
    29/day → 0.6/day −29/day Shell
    now: 2026-10-25 → 2026-10-30 (5 days, +3 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +146 stars)
  6. 6
    seacen/meetcap
    26/day → 9.0/day −17/day Shell
    now: 2026-10-25 → 2026-10-30 (5 days, +45 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +132 stars)
  7. 7
    sitor-ai/frametell
    21/day → 7.2/day −14/day JavaScript
    now: 2026-10-25 → 2026-10-30 (5 days, +36 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +105 stars)
  8. 8
    AFK-surf/Comma
    13/day → 2.6/day −11/day Elixir
    now: 2026-10-25 → 2026-10-30 (5 days, +13 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +67 stars)
  9. 9
    RoversX/ThinkTerm
    13/day → 3.0/day −10/day Rust
    now: 2026-10-25 → 2026-10-30 (5 days, +15 stars) · before: 2026-10-20 → 2026-10-25 (5 days, +67 stars)
  10. 10
    clawyi-com/china-market-data
    6.6/day → 3.4/day −10/day Python
    now: 2026-10-22 → 2026-10-27 (5 days, -17 stars) · before: 2026-10-17 → 2026-10-22 (5 days, +33 stars)

Fastest by absolute pace

Raw stars per day in the current window, regardless of whether that is faster or slower than before. This is the leaderboard; the section above is the movement.

  1. 1
    morluto/rea
    8,436/day +42,179 stars was 19,071/day TypeScript
    2026-10-20 → 2026-10-25 (5 days, +42,179 stars) · 378,653 stars at our 2026-10-25 snapshot
  2. 2
    debpalash/VoiceStudio
    1,934/day +9,669 stars was 1,602/day Python
    2026-10-24 → 2026-10-29 (5 days, +9,669 stars) · 92,971 stars at our 2026-10-29 snapshot
  3. 3
    Nutlope/hallmark
    1,834/day +9,169 stars no prior window CSS
    2026-10-24 → 2026-10-29 (5 days, +9,169 stars) · 40,669 stars at our 2026-10-29 snapshot
  4. 4
    pbakaus/impeccable
    1,775/day +8,876 stars no prior window Rust
    2026-10-25 → 2026-10-30 (5 days, +8,876 stars) · 95,263 stars at our 2026-10-30 snapshot
  5. 5
    cloudflare/security-audit-skill
    1,664/day +8,321 stars was 2,284/day JavaScript
    2026-10-25 → 2026-10-30 (5 days, +8,321 stars) · 52,830 stars at our 2026-10-30 snapshot
  6. 6
    HKUDS/DeepTutor
    1,473/day +7,363 stars no prior window Python
    2026-10-25 → 2026-10-30 (5 days, +7,363 stars) · 49,993 stars at our 2026-10-30 snapshot
  7. 7
    stablyai/orca
    1,062/day +5,310 stars was 1,469/day TypeScript
    2026-10-23 → 2026-10-28 (5 days, +5,310 stars) · 108,038 stars at our 2026-10-28 snapshot
  8. 8
    mattpocock/skills
    994/day +11,925 stars was 1,431/day Shell
    2026-10-18 → 2026-10-30 (12 days, +11,925 stars) · 307,009 stars at our 2026-10-30 snapshot
  9. 9
    JetBrains/thinkrail
    972/day +4,860 stars no prior window TypeScript
    2026-10-25 → 2026-10-30 (5 days, +4,860 stars) · 5,986 stars at our 2026-10-30 snapshot
  10. 10
    TauricResearch/TradingAgents
    929/day +4,645 stars was 310/day Python
    2026-10-25 → 2026-10-30 (5 days, +4,645 stars) · 118,317 stars at our 2026-10-30 snapshot

What this measures — and what it does not

The data is ours. whatstrending.ai records its own star and fork snapshot for every repository in its trending index and keeps them. This page holds 70,638 snapshot rows across 2,913 repositories, recorded on 134 snapshot days. GitHub shows a repo’s star count today; it does not show whether that number is climbing faster or slower than it was a week ago. That is the only thing this page reports.

History starts 2026-06-19. The most recent snapshot in this report is 2026-10-30. We hold nothing from before 2026-06-19 and we do not reconstruct it. Days with no snapshot for a repo are simply absent — they are never interpolated.

How a window is picked. For each repo: its newest stored snapshot, then the newest snapshot 5–12 days earlier (the current window), then the newest snapshot 5–12 days before that (the prior window). Pace is star delta / whole days between the two snapshots. Acceleration is current pace − prior pace. A repo whose newest snapshot is more than 5 days behind the newest snapshot in the dataset is excluded entirely rather than reported with a stale window.

Why the counts are smaller than 2,913. We snapshot a repo while it is in the trending index, so coverage is dense for currently-trending repos and sparse for ones that have dropped out. Of 2,913 repos with any stored history, 973 have a snapshot from the last 6 days, 811 of those have a measurable current pace, and 728 also have a prior window to compare against. Every list on this page states which pool it is drawn from. Where a figure cannot be derived from stored rows, it is omitted rather than estimated.

Citing this. Free to quote with attribution to whatstrending.ai. The underlying repo list is available as JSON at /api/repos, and each repo’s full measured history is on its own page.

Which AI repos are accelerating fastest right now?

As of 2026-10-30, TauricResearch/TradingAgents shows the biggest jump in star growth rate among the repos whatstrending.ai snapshots: from 310 stars a day (2026-10-20 to 2026-10-25) to 929 stars a day (2026-10-25 to 2026-10-30), an increase of 619 stars a day. The full top 10 is on this page.

How do you measure whether an AI repo is accelerating or stalling?

whatstrending.ai stores its own daily star snapshot for every repo in its trending index (70638 snapshot rows across 2913 repos on 134 snapshot days since 2026-06-19). For each repo we take its newest snapshot, the newest snapshot 5 to 12 days before that (the current window), and the newest snapshot 5 to 12 days before THAT (the prior window). Growth rate is the star delta divided by the whole days between the two snapshots. Acceleration is the current rate minus the prior rate. Nothing is estimated, interpolated or back-filled.

How many AI repos does whatstrending.ai track?

2,913 repositories have at least one stored star snapshot, recorded on 134 snapshot days since 2026-06-19. 973 of them have a snapshot from the last 6 days as of 2026-10-30, and 811 of those have enough history for a current growth rate.

Past weeks

Every finished week is kept as its own page, frozen as of that Sunday, with a CSV download.

MCP servers and tools →RAG and vector search →Coding agents, Claude Code and Codex tools →AI agent frameworks and tools →
All tracked repos → Sort by velocity → Accelerating repos → Trending AI Repo badge → Model usage trends →