deer-flow vs transformers
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| deer-flow | transformers | |
|---|---|---|
| Tagline | An open-source long-horizon SuperAgent harness | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models |
| Stars | 76k | 162k |
| Forks | 10k | 34k |
| Open issues | 929 | 2.5k |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | AI Agents | Data & Retrieval, Model Training, LLM Frameworks |
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
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python