deer-flow vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| deer-flow | ollama | |
|---|---|---|
| Tagline | An open-source long-horizon SuperAgent harness | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 76k | 176k |
| Forks | 10k | 17k |
| Open issues | 929 | 3.4k |
| Language | Python | Go |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | AI Agents | AI Agents, 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
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go