head to head · open source
ponytail vs Agno
ponytail has 182,779 GitHub stars, 10,094 forks, 270 open issues and last shipped 5 days ago. Agno has 43,019 stars, 6,229 forks, 1,419 open issues and last shipped yesterday. ponytail leads on adoption by 325% (182,779 vs 43,019 stars). ponytail is written in JavaScript under MIT; Agno is written in Python under Apache-2.0. ponytail has attracted 6% as many forks as stars, Agno 14%. Agno was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agents, developer-tools), 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.
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Side by side
| ponytail | Agno | |
|---|---|---|
| GitHub stars | ★ 183K | ★ 43K |
| License | MIT | Apache-2.0 |
| Written in | JavaScript | Python |
| Last push | 2026-10-29 | 2026-11-02 |
| Forks | ⑂ 10K | ⑂ 6.2K |
| 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
pick Agno if
- You want the Agno 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 Agno fits your workflow better
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 Agno
Build, run, and manage agent platforms. Introduction Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI. Build your agent platform using the Agno SDK. Run your agent platform using the AgentOS runtime. Manage everything using the AgentOS UI. Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT based RBAC), and turn your agent platform into a learning loop with simulations and usage data. Get started Hand this prompt to your coding agent (Claude Code, Cursor, Codex): Your coding agent…
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Frequently asked questions
Is ponytail or Agno more popular?
ponytail has 182,779 GitHub stars and Agno has 43,019. ponytail has the larger community by that measure.
Are ponytail and Agno free?
Both are open source. ponytail is licensed under MIT and Agno under Apache-2.0. Neither carries a licence fee.
What is the difference between ponytail and Agno?
ponytail is written in JavaScript and Agno 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 Agno?
Choose ponytail if you want the larger community (182,779 stars) or its MIT licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.