QwenPaw vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| QwenPaw | ollama | |
|---|---|---|
| Tagline | Your Personal AI Assistant | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 21k | 176k |
| Forks | 2.7k | 17k |
| Open issues | 903 | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Inference & Serving, AI Agents | AI Agents, LLM Frameworks |
QwenPaw
QwenPaw is a personal AI assistant that can be deployed locally or on the cloud. It supports multiple chat applications and includes features such as multi-agent capabilities, security measures like kernel-level sandboxes, extensible skills and plugins marketplace, coding mode with integrated web IDE, and more.
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