head to head · open source
Dify vs agentscope
Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped today. agentscope has 31,896 stars, 3,514 forks, 369 open issues and last shipped today. Dify leads on adoption by 390% (156,215 vs 31,896 stars). Dify is written in TypeScript 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 | ★ 156K | ★ 32K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-18 | 2026-09-18 |
| Forks | ⑂ 25K | ⑂ 3.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 156K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- 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 is an open source LLM application development platform built in TypeScript. It provides a visual interface for designing, testing, and deploying AI workflows, RAG pipelines, and agentic systems without writing extensive code. The platform lives in the generative AI development ecosystem and targets teams needing to move from prototype to production using consistent tooling across environments.
About agentscope
AgentScope 2.0 is a production ready agent framework written in Python and released under the Apache 2.0 licence. It provides a set of essential abstractions for building agents, and it is designed explicitly for increasingly agentic large language models. Rather than wrapping models in strict prompts and opinionated orchestrations, the framework leans on the reasoning and tool use abilities the models already have, so the agent logic follows rising model capability instead of fighting it. The project lives in the Python AI and machine learning ecosystem, with a documented homepage at docs.agentscope.io and a rep…
read the full agentscope overview →
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Frequently asked questions
Is Dify or agentscope more popular?
Dify has 156,215 GitHub stars and agentscope has 31,896. 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 TypeScript 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 (156,215 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.