head to head · open source
Dify vs agentscope
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. agentscope has 35,223 stars, 3,774 forks, 369 open issues and last shipped yesterday. Dify leads on adoption by 355% (160,251 vs 35,223 stars). Dify is written in Python under a custom or non-standard licence; agentscope is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, agentscope 11%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agent, llm), 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 | agentscope | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 35K |
| License | Custom / other | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 3.8K |
| 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 agentscope if
- You want the agentscope 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 agentscope 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 agentscope
中文主页 Documentation Roadmap What is AgentScope 2.0? AgentScope 2.0 is a production ready, easy to use agent framework with essential abstractions that keep up with rising model capability. We design for increasingly agentic LLMs. Our approach leverages the models' reasoning and tool use abilities rather than constraining them with strict prompts and opinionated orchestrations. News [2026 09] FEAT : agentscope skill now supports AgentScope v2. [2026 09] INTE : Support DashScope, OpenAI, Gemini and xAI realtime APIs in RealtimeAgent . Example Docs [2026 09] FEAT Experimental : Realtime voice agent supported…
read the full agentscope overview →
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Frequently asked questions
Is Dify or agentscope more popular?
Dify has 160,251 GitHub stars and agentscope has 35,223. Dify has the larger community by that measure.
Are Dify and agentscope free?
Both are open source. Dify has no licence declared in this registry, and agentscope is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Dify and agentscope?
Dify is written in Python and agentscope 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 agentscope?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.