Fastest-growing AI GitHub repos: week 43, 2026

The week of 2026-10-19 to 2026-10-25, measured from our own daily star snapshots up to 2026-10-25. Each repo is measured between two of our snapshots 5 to 12 days apart, so some windows are shorter than the full week; every row shows its exact dates. This page is frozen: it was computed on 2026-10-26 and its numbers never change.

Download this report as CSV ↓ · JSON

Week 43 takeaways

From 803 repos with a measurable pace, out of the 2,824 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 repos2,82466,512 snapshots on 129 days
History starts2026-06-19nothing stored from before this date
Snapshotted recently957in the last 6 days
Measurable pace803have two snapshots 5-12 days apart
Median pace2.8stars per day, across those 803
Stars gained+250,248total across those 803 repos
Accelerating137of 719 with two windows
Steady319of 719 with two windows
Stalled198of 719 with two windows
Declining65of 719 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
    MadsLorentzen/ai-job-search
    364/day → 2,543/day +2,179/day Python
    now: 2026-10-16 → 2026-10-21 (5 days, +12,716 stars) · before: 2026-10-11 → 2026-10-16 (5 days, +1,820 stars)
  2. 2
    cloudflare/security-audit-skill
    588/day → 2,284/day +1,696/day JavaScript
    now: 2026-10-20 → 2026-10-25 (5 days, +11,419 stars) · before: 2026-10-08 → 2026-10-20 (12 days, +7,057 stars)
  3. 3
    DietrichGebert/ponytail
    896/day → 1,487/day +591/day JavaScript
    now: 2026-10-20 → 2026-10-25 (5 days, +7,436 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +4,481 stars)
  4. 4
    anthropics/knowledge-work-plugins
    187/day → 401/day +214/day Python
    now: 2026-10-20 → 2026-10-25 (5 days, +2,006 stars) · before: 2026-10-12 → 2026-10-20 (8 days, +1,499 stars)
  5. 5
    ifixai-ai/iFixAi
    569/day → 764/day +195/day Python
    now: 2026-10-20 → 2026-10-25 (5 days, +3,820 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +2,846 stars)
  6. 6
    stablyai/orca
    1,150/day → 1,343/day +193/day TypeScript
    now: 2026-10-20 → 2026-10-25 (5 days, +6,713 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +5,749 stars)
  7. 7
    thesysdev/openui
    120/day → 302/day +182/day TypeScript
    now: 2026-10-17 → 2026-10-22 (5 days, +1,509 stars) · before: 2026-10-10 → 2026-10-17 (7 days, +840 stars)
  8. 8
    twentyhq/twenty
    42/day → 220/day +179/day TypeScript
    now: 2026-10-19 → 2026-10-24 (5 days, +1,102 stars) · before: 2026-10-08 → 2026-10-19 (11 days, +460 stars)
  9. 9
    anthropics/claude-code
    109/day → 258/day +149/day TypeScript
    now: 2026-10-11 → 2026-10-21 (10 days, +2,582 stars) · before: 2026-10-06 → 2026-10-11 (5 days, +545 stars)
  10. 10
    vllm-project/vllm
    74/day → 221/day +147/day Python
    now: 2026-10-20 → 2026-10-25 (5 days, +1,107 stars) · before: 2026-10-08 → 2026-10-20 (12 days, +890 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
    storytold/artcraft
    3,094/day → 922/day −2,172/day Rust
    now: 2026-10-16 → 2026-10-21 (5 days, +4,610 stars) · before: 2026-10-11 → 2026-10-16 (5 days, +15,470 stars)
  2. 2
    anthropics/claude-plugins-official
    1,019/day → 236/day −784/day Python
    now: 2026-10-20 → 2026-10-25 (5 days, +1,178 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +5,097 stars)
  3. 3
    feder-cr/invisible_playwright_mcp
    4.2/day → 379/day −383/day Python
    now: 2026-10-20 → 2026-10-25 (5 days, -1,893 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +21 stars)
  4. 4
    yeyuxin777/baoyan-agent-benchmark
    97/day → 0.4/day −97/day Python
    now: 2026-10-20 → 2026-10-25 (5 days, -2 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +483 stars)
  5. 5
    DocAILab/XRAG
    19/day → 50/day −69/day Python
    now: 2026-10-20 → 2026-10-25 (5 days, -252 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +95 stars)
  6. 6
    Tejashmakwana/motionmaxxing
    84/day → 24/day −60/day JavaScript
    now: 2026-10-20 → 2026-10-25 (5 days, +122 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +421 stars)
  7. 7
    rociiu/talorys
    68/day → 8.6/day −60/day TypeScript
    now: 2026-10-20 → 2026-10-25 (5 days, +43 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +342 stars)
  8. 8
    i12bp8/decomp.wtf
    61/day → 5.2/day −56/day Python
    now: 2026-10-20 → 2026-10-25 (5 days, +26 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +305 stars)
  9. 9
    Calcium-Ion/AstrLink
    22/day → 5.0/day −17/day Go
    now: 2026-10-16 → 2026-10-21 (5 days, +25 stars) · before: 2026-10-11 → 2026-10-16 (5 days, +110 stars)
  10. 10
    gongnyang/awesome-ai-motion
    16/day → 3.2/day −13/day HTML
    now: 2026-10-20 → 2026-10-25 (5 days, +16 stars) · before: 2026-10-15 → 2026-10-20 (5 days, +81 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
    MadsLorentzen/ai-job-search
    2,543/day +12,716 stars was 364/day Python
    2026-10-16 → 2026-10-21 (5 days, +12,716 stars) · 60,496 stars at our 2026-10-21 snapshot
  3. 3
    cloudflare/security-audit-skill
    2,284/day +11,419 stars was 588/day JavaScript
    2026-10-20 → 2026-10-25 (5 days, +11,419 stars) · 44,509 stars at our 2026-10-25 snapshot
  4. 4
    debpalash/VoiceStudio
    1,642/day +8,208 stars was 2,238/day Python
    2026-10-20 → 2026-10-25 (5 days, +8,208 stars) · 85,671 stars at our 2026-10-25 snapshot
  5. 5
    DietrichGebert/ponytail
    1,487/day +7,436 stars was 896/day JavaScript
    2026-10-20 → 2026-10-25 (5 days, +7,436 stars) · 175,523 stars at our 2026-10-25 snapshot
  6. 6
    boykopovar/AnyPS5
    1,375/day +6,873 stars was 2,376/day C++
    2026-10-16 → 2026-10-21 (5 days, +6,873 stars) · 45,516 stars at our 2026-10-21 snapshot
  7. 7
    stablyai/orca
    1,343/day +6,713 stars was 1,150/day TypeScript
    2026-10-20 → 2026-10-25 (5 days, +6,713 stars) · 104,945 stars at our 2026-10-25 snapshot
  8. 8
    Graphify-Labs/graphify
    1,061/day +5,304 stars no prior window Python
    2026-10-20 → 2026-10-25 (5 days, +5,304 stars) · 134,460 stars at our 2026-10-25 snapshot
  9. 9
    xerj-org/xerj
    924/day +4,619 stars was 1,179/day Rust
    2026-10-20 → 2026-10-25 (5 days, +4,619 stars) · 15,297 stars at our 2026-10-25 snapshot
  10. 10
    storytold/artcraft
    922/day +4,610 stars was 3,094/day Rust
    2026-10-16 → 2026-10-21 (5 days, +4,610 stars) · 34,509 stars at our 2026-10-21 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 66,512 snapshot rows across 2,824 repositories, recorded on 129 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 2026-10-25. 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 2,824. 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 2,824 repos with any stored history, 957 have a snapshot from the last 6 days, 803 of those have a measurable current pace, and 719 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 accelerated fastest in week 43, 2026?

As of 2026-10-25, MadsLorentzen/ai-job-search shows the biggest jump in star growth rate among the repos whatstrending.ai snapshots: from 364 stars a day (2026-10-11 to 2026-10-16) to 2,543 stars a day (2026-10-16 to 2026-10-21), an increase of 2,179 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 (66512 snapshot rows across 2824 repos on 129 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?

2,824 repositories have at least one stored star snapshot, recorded on 129 snapshot days since 2026-06-19. 957 of them have a snapshot from the last 6 days as of 2026-10-25, and 803 of those have enough history for a current growth rate.

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 →