head to head · open source
Dify vs Agently
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. Agently has 1,659 stars, 184 forks, 15 open issues and last shipped 21 days ago. Dify leads on adoption by 9,559% (160,251 vs 1,659 stars). Dify is written in Python under a custom or non-standard licence; Agently is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, Agently 11%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agent, claude, deepseek, gpt), 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
| Dify | Agently | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 1.7K |
| License | Custom / other | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-13 |
| Forks | ⑂ 25K | ⑂ 184 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 160K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About Dify
Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…
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 Dify or Agently more popular?
Dify has 160,251 GitHub stars and Agently has 1,659. Dify has the larger community by that measure.
Are Dify and Agently free?
Both are open source. Dify has no licence declared in this registry, and Agently is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Dify and Agently?
Dify is written in Python 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, Dify or Agently?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose Agently if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.