dify vs raptor
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| dify | raptor | |
|---|---|---|
| Tagline | Production-ready platform for agentic workflow development | RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval |
| Stars | 148k | 1.7k |
| Forks | 23k | 230 |
| Open issues | 851 | 45 |
| Language | TypeScript | Python |
| License | Other | MIT |
| Last pushed | Jul 7, 2026 | Sep 3, 2024 |
| Categories | AI Agents | Inference & Serving, AI Agents, Model Training |
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
raptor
A Python implementation of RAPTOR, focusing on retrieval-augmented language models using a recursive tree structure. It enhances information retrieval efficiency across large texts.
Python