head to head · open source
Dify vs nexent
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. nexent has 6,122 stars, 768 forks, 265 open issues and last shipped yesterday. Dify leads on adoption by 2,518% (160,251 vs 6,122 stars). Dify is written in Python under a custom or non-standard licence; nexent is written in Python under MIT. Dify has attracted 16% as many forks as stars, nexent 13%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 6 topic tags (agent, agentic-ai, agentic-framework, agentic-workflow), 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.
← all 20902 open source comparisons
Side by side
| Dify | nexent | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 6.1K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 768 |
| 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 nexent if
- You want the nexent feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and nexent 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 nexent
Nexent is a zero code platform for auto generating production grade AI agents, built on Harness Engineering principles. It provides unified tools, skills, memory, and orchestration with built in constraints, feedback loops, and control planes — no orchestration, no complex drag and drop required, using pure language to develop any agent you want. One prompt. Endless reach. Watch the demo video 🚀 Get Started Now ⭐ Before you get started, please star us on GitHub — your support drives us forward! Deploy on Your Own If you need to run Nexent locally or in your private infrastructure, we offer two deployment…
read the full nexent overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is Dify or nexent more popular?
Dify has 160,251 GitHub stars and nexent has 6,122. Dify has the larger community by that measure.
Are Dify and nexent free?
Both are open source. Dify has no licence declared in this registry, and nexent is licensed under MIT. Both are free to self-host.
What is the difference between Dify and nexent?
Dify is written in Python and nexent 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 nexent?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose nexent if its feature set, stack or MIT licence fits better. Both are self-hostable.