head to head · open source

ponytail vs Agently

ponytail has 182,779 GitHub stars, 10,094 forks, 270 open issues and last shipped 5 days ago. Agently has 1,659 stars, 184 forks, 15 open issues and last shipped 21 days ago. ponytail leads on adoption by 10,917% (182,779 vs 1,659 stars). ponytail is written in JavaScript under MIT; Agently is written in Python under Apache-2.0. ponytail has attracted 6% as many forks as stars, Agently 11%. ponytail was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (claude), 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 ★ 183K Agently ★ 1.7K category AI & Machine Learning

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Side by side

ponytail Agently
GitHub stars ★ 183K ★ 1.7K
License MIT Apache-2.0
Written in JavaScript Python
Last push 2026-10-29 2026-10-13
Forks ⑂ 10K ⑂ 184
Self-hosting Yes Yes
Data ownership Your server Your server

pick ponytail if

  • You weight community size — 183K 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 Agently if

  • You want the Agently feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and Agently fits your workflow better

full Agently profile →

About ponytail

Ponytail He says nothing. He writes one line. It works. 54% less code (up to 94%) · 20% cheaper · 27% faster · 100% safe Measured on real Claude Code sessions editing a real open source repo (FastAPI + React), against the same agent with no skill. 54% is the mean across 12 feature tasks (Haiku 4.5, n=4); it reaches 94% where an agent over builds (a date picker) and is near zero where the code is already minimal. ponytail keeps every safety guard while a bare "write one liners" prompt drops one. (The earlier single shot benchmark reported 80 94% as a flat figure; against a fair agentic…

read the full ponytail overview →

About Agently

Agently 4.1.4.8 AI Application Runtime Framework Build AI service backends with structured outputs, observable Actions, runtime Skills, MCP capabilities, process streams, and recoverable workflows. English 中文介绍 Docs · Quickstart · Why Agently · Capabilities · Architecture · Ecosystem Who This README Is For Agently is for teams moving from "the model can do it once" to "the application must do it reliably": product engineers building assistants, internal copilots, knowledge tools, operation workflows, or AI backed APIs platform teams that need clear extension points for model providers, tools, MCP servers…

read the full Agently overview →

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Frequently asked questions

Is ponytail or Agently more popular?

ponytail has 182,779 GitHub stars and Agently has 1,659. ponytail has the larger community by that measure.

Are ponytail and Agently free?

Both are open source. ponytail is licensed under MIT and Agently under Apache-2.0. Neither carries a licence fee.

What is the difference between ponytail and Agently?

ponytail is written in JavaScript and Agently in Python. 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 Agently?

Choose ponytail if you want the larger community (182,779 stars) or its MIT licence terms. Choose Agently if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.