Dify vs OpenHands
| Tagline | Open-source LLM app development platform with visual workflow, RAG, and agent builder | Open-source AI software engineer agent that writes, runs, and debugs code autonomously |
| Category | AI & LLM Tools | AI & LLM Tools |
| Replaces | ChatGPT, OpenAI API | ChatGPT, OpenAI API |
| GitHub stars | 152k | 84k |
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Self-host difficulty | 3/5 Moderate | 3/5 Moderate |
| Deploy options | Docker Compose Kubernetes | Docker Docker Compose |
| Managed hosting | ||
| Last updated | today | today |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Dify
- Self-hosted community edition lacks SSO and audit logs (cloud-only)
- Requires multiple services (Postgres, Redis, Weaviate/Qdrant) increasing ops burden
- Plugin marketplace is smaller than commercial AI platforms
OpenHands
- Agent reliability degrades on complex multi-file refactors
- Requires Docker-in-Docker for sandboxing, complicating some host setups
- No native multi-user workspace isolation in community edition
Bottom line
Both are a similar lift to self-host; choose Dify for the larger community and ecosystem. Open each guide below for deploy steps and the full feature gap.