QwenPaw vs AstrBot

Self-hosted AI assistants compared

QwenPaw and AstrBot connect AI models and agent capabilities to chat interfaces, with self-hosting options for both. QwenPaw focuses on a personal assistant with persistent memory and tools across several interfaces, while AstrBot is a platform for building chatbots in messaging apps.

QwenPawAstrBot
LanguageTypeScriptPython
LicenseApache-2.0AGPL-3.0
Stars35.5k42.1k
Forks3.2k3.1k
Last analyzedOct 9, 2026Oct 19, 2026

Key differences

  • QwenPaw is centered on a personal assistant with persistent, editable memory; AstrBot is centered on a chatbot framework for messaging workflows.
  • QwenPaw offers a web console, terminal UI, beta desktop app, and messaging integrations; AstrBot focuses on messaging platforms and also provides a WebUI and web chat.
  • QwenPaw is written in TypeScript and uses the Apache-2.0 license; AstrBot is written in Python and uses the AGPL-3.0 license.
  • QwenPaw describes file workspace functions, scheduled tasks, and controls for tool and file actions; AstrBot highlights multimodal conversations, persona settings, context compression, and a plugin marketplace.
  • QwenPaw supports local or cloud deployment; AstrBot offers Docker and command-line installation routes, with a quick-start requiring uv and Python 3.12 or newer.

Choose QwenPaw if you…

  • want a personal assistant with persistent memory across web, terminal, desktop, and messaging interfaces.
  • need file-workspace features, scheduled tasks, or separate memory and skills for multiple agents.
  • prefer Apache-2.0 licensing or want controls such as action approval policies and file guards.
Read the QwenPaw analysis →

Choose AstrBot if you…

  • want to build assistants for existing messaging workflows using a shared chatbot framework.
  • need integrations with platforms such as QQ, Slack, or Feishu, alongside a plugin marketplace.
  • prefer Python, Docker deployment, or an AGPL-3.0 licensed project.
Read the AstrBot analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.