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[VELOCITY_REPORT//2026-W26]
Jun 22 – Jun 28, 2026

ponytail added 25,970 stars in 7 days

ponytail added 25,970 stars in 7 days · ~4 min read

[TL;DR]
  • 01ponytail added 25,970 stars in 7 days
  • 02The Agents niche added 89,131 stars this week
  • 03Anti-pattern: elder-plinius/CL4R1T4S — stars-up-commits-down.
  • 04Quiet org spotlight: vllm-project.
[Hero accelerator]

DietrichGebert/ponytail

DietrichGebert/ponytail is the week's biggest breakout — score 0.85/10, current class new. 50,257 total stars, 29 contributors.

[Movers]
Accelerating
  • headroomlabs-ai/headroom+17,288
  • DeusData/codebase-memory-mcp+7,819
  • calesthio/OpenMontage+7,807
  • tw93/Pake+6,285
  • Panniantong/Agent-Reach+6,017
Stalling
(none)
[Niche of the week]
Agents

Across all tracked Agents repos, the ecosystem added 89,131 stars in 7 days — the largest niche-level move on The Terminal this week. The action is here.

HHI before: 2,739HHI after: 2,759
[Anti-pattern alert]
stars-up-commits-down · elder-plinius/CL4R1T4S

elder-plinius/CL4R1T4S added 2,780 stars this week against only 1 contributors (43,454 stars per contributor). Star velocity is running ahead of the shipping surface. Worth checking: is the work concentrated in one maintainer, or has the project hit a hype peak before the production layer caught up?

[Quiet org spotlight]

vllm-project

vllm-project is shipping quietly — 4 tracked repos with a combined velocity score of 13.5, but no single repo cracked the top 50 by 7-day stars. Either the work is spread evenly across a portfolio, or the discovery surface has not caught up to what they are building.

[On the cusp]
  • FlowiseAI/Flowisescore 6.55/10 · +256 stars/7d · class stable
  • n8n-io/n8nscore 5.90/10 · +856 stars/7d · class stable
  • microsoft/generative-ai-for-beginnersscore 5.84/10 · +173 stars/7d · class stable
[Methodology]

Every number on this page comes from beam's daily ingest of GitHub, npm, PyPI, Hacker News, arXiv, HuggingFace, Docker, Stack Overflow, and Discord — fused into a 0–10 velocity score per repo. Read the full methodology.

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