zero vs qwen-code

Terminal coding agents compared

zero and qwen-code help developers work on repositories with AI agents, including understanding code, making changes, and running commands or workflows. zero focuses on a Go-based terminal agent with local sessions and configurable permissions, while qwen-code offers a TypeScript agent with a wider range of editor, desktop, web, and chat interfaces.

zeroqwen-code
LanguageGoTypeScript
LicenseMITApache-2.0
Stars1.7k28.3k
Forks1943.2k
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • zero is written in Go and requires Go 1.26.6 or later to build from source; qwen-code is written in TypeScript and requires Node.js 22 or later for npm installation.
  • zero provides an interactive terminal interface and headless `zero exec`; qwen-code also supports editor, desktop, web, and chat integrations, plus SDKs.
  • zero highlights local sessions that can be searched, resumed, forked, or rewound, along with permission and sandbox controls for tool actions.
  • qwen-code lists SubAgents, Agent Teams, Auto-Memory, and Auto-Skills, as well as connections to VS Code, Zed, JetBrains, and chat channels.
  • zero is MIT-licensed, while qwen-code is Apache-2.0-licensed.
  • The provided project figures list 1.7k stars and 194 forks for zero, and 28.3k stars and 3.2k forks for qwen-code; both are unarchived.

Choose zero if you…

  • want a terminal-focused agent with local sessions and explicit controls for file writes, shell commands, and network access.
  • need headless `zero exec` with text, JSON, or stream-JSON options for scripts or CI.
  • prefer Go or want to use hosted, local, or compatible model endpoints through one terminal tool.
Read the zero analysis →

Choose qwen-code if you…

  • want to access a coding agent through terminals, editors, desktop, web, or chat.
  • need integrations such as SDKs, Agent Teams, Auto-Memory, or Auto-Skills.
  • prefer TypeScript or want to connect to Qwen, other listed providers, or local models.
Read the qwen-code analysis →

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

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