head to head · open source

ponytail vs loopy

ponytail has 141,465 GitHub stars, 7,581 forks, 270 open issues and last shipped 4 days ago. loopy has 3,143 stars, 277 forks, 5 open issues and last shipped 7 days ago. ponytail leads on adoption by 4,401% (141,465 vs 3,143 stars). ponytail is written in JavaScript under MIT; loopy is written in JavaScript under MIT. ponytail has attracted 5% as many forks as stars, loopy 9%. ponytail was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agent-skills, ai-agents, prompt-engineering), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

ponytail ★ 141K loopy ★ 3.1K category AI & Machine Learning

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Side by side

ponytail loopy
GitHub stars ★ 141K ★ 3.1K
License MIT MIT
Written in JavaScript JavaScript
Last push 2026-09-14 2026-09-11
Forks ⑂ 7.6K ⑂ 277
Self-hosting Yes Yes
Data ownership Your server Your server

pick ponytail if

  • You weight community size — 141K stars and counting
  • You want the MIT license terms
  • Your stack matches JavaScript
  • You value the larger contributor base for long-term maintenance

full ponytail profile →

pick loopy if

  • You want the loopy feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches JavaScript
  • You evaluated both and loopy fits your workflow better

full loopy profile →

About ponytail

Ponytail is an open source agent skill for JavaScript and LLM based coding tools that makes an AI agent write the minimum working code for a task, and it is built for developers and teams running agents such as Claude Code, Codex, or Cursor against real repositories.

read the full ponytail overview →

About loopy

Loop Library Loop Library has two separate but related parts in this repository: The website is the library; Loopy is a companion way to work with it. You can browse or give an agent the website without installing Loopy. Installing Loopy adds the guided workflow, but it does not install or host the website. Agents that do not have Loopy can use the published agent guide, agent instructions, JSON catalog, or plain text catalog directly. Each published loop tells an agent what to do, how to check its work, what to try next, and when to stop. What is a loop? Most prompts ask an agent to do something once. A loop giv…

read the full loopy overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

ponytail vs Dify ponytail vs langchain ponytail vs generative-ai-for-beginners ponytail vs graphify ponytail vs claude-mem ponytail vs ragflow ponytail vs PaddleOCR ponytail vs Agent-Reach ponytail vs headroom ponytail vs Mem0 ponytail vs daily_stock_analysis ponytail vs LiteLLM

Frequently asked questions

Is ponytail or loopy more popular?

ponytail has 141,465 GitHub stars and loopy has 3,143. ponytail has the larger community by that measure.

Are ponytail and loopy free?

Both are open source. ponytail is licensed under MIT and loopy under MIT. Neither carries a licence fee.

What is the difference between ponytail and loopy?

ponytail is written in JavaScript and loopy in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, ponytail or loopy?

Choose ponytail if you want the larger community (141,465 stars) or its MIT licence terms. Choose loopy if its feature set, stack or MIT licence fits better. Both are self-hostable.