head to head · open source

ponytail vs Agno

ponytail has 141,465 GitHub stars, 7,581 forks, 270 open issues and last shipped 5 days ago. Agno has 42,226 stars, 5,947 forks, 1,419 open issues and last shipped 2 days ago. ponytail leads on adoption by 235% (141,465 vs 42,226 stars). ponytail is written in JavaScript under MIT; Agno is written in Python under Apache-2.0. ponytail has attracted 5% 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.

ponytail ★ 141K Agno ★ 42K category AI & Machine Learning

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Side by side

ponytail Agno
GitHub stars ★ 141K ★ 42K
License MIT Apache-2.0
Written in JavaScript Python
Last push 2026-09-14 2026-09-17
Forks ⑂ 7.6K ⑂ 5.9K
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 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

full Agno 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 Agno

Agno is a model agnostic platform for building, running, and managing AI agent platforms. It provides both a Python SDK for agent development and a runtime environment (AgentOS) for serving agents as services, backed by a web based control plane. Agno lives in the Python based AI development ecosystem and targets teams seeking full ownership of their agent infrastructure without vendor lock in.

read the full Agno overview →

More in AI & Machine Learning

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

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dify vs ponytail openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

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 Agno more popular?

ponytail has 141,465 GitHub stars and Agno has 42,226. 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 (141,465 stars) or its MIT licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.