deer-flow vs dify
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| deer-flow | dify | |
|---|---|---|
| Tagline | An open-source long-horizon SuperAgent harness | Production-ready platform for agentic workflow development |
| Stars | 76k | 148k |
| Forks | 10k | 23k |
| Open issues | 929 | 851 |
| Language | Python | TypeScript |
| License | MIT | Other |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | AI Agents | AI Agents |
deer-flow
DeerFlow is a versatile AI agent framework developed by ByteDance, designed to handle complex tasks over extended periods. It includes features like sandboxes for isolated execution, memory support for contextual awareness, and an extensible skill system for task versatility.
Python
dify
Dify is a production-ready platform designed to facilitate the creation and management of agentic workflows. It supports TypeScript, Python, and leverages frameworks like Next.js.
TypeScript