Pi vs qwen-code
TypeScript AI coding agents compared
pi and qwen-code are TypeScript tools for using AI agents on coding tasks, with terminal-based workflows and support for multiple model providers. pi emphasizes a customizable agent toolkit and CLI, while qwen-code offers a wider range of interfaces and built-in agent capabilities such as SubAgents and Agent Teams.
Pi: Build and Customize a Coding Agent
Pi is a minimal, extensible coding-agent harness built with TypeScript and its pi-ai unified LLM API. Run it as a CLI on macOS, Linux, or Windows, or adapt its components and extensions to your own workflows.
qwen-code: Build with Qwen Models Across Coding Interfaces
Qwen Code is an agentic coding tool built around Qwen models, designed to work from the terminal and through editor, desktop, browser, and chat interfaces. It also supports other model providers and local models, with SDKs and automation modes for custom workflows.
| Pi | qwen-code | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | MIT | Apache-2.0 |
| Stars | 117k | 28.6k |
| Forks | 15k | 3.2k |
| Last analyzed | Oct 23, 2026 | Oct 19, 2026 |
Key differences
- pi combines a coding-agent CLI with an agent runtime, unified LLM API, terminal UI, and SDK; qwen-code focuses on a coding agent that can connect to a broader set of interfaces.
- pi highlights customization through extensions, skills, prompt templates, themes, and packages; qwen-code lists capabilities including SubAgents, Agent Teams, Auto-Memory, Auto-Skills, and MCP.
- qwen-code lists integrations for editors, desktop, web, and chat; pi describes its CLI, print and JSON modes, RPC, and TypeScript SDK.
- pi is licensed under MIT, while qwen-code is licensed under Apache-2.0.
- pi requires Node.js 22.19 or newer; qwen-code requires Node.js 22 or later and also lists standalone installers and Homebrew.
- pi has 112k stars and 14.2k forks; qwen-code has 28.3k stars and 3.2k forks.
Choose Pi if you…
- want a customizable TypeScript agent toolkit with extensions, skills, prompts, themes, and packages.
- need a unified LLM API, agent runtime, and terminal UI in one project.
- plan to build TypeScript applications around an agent or automate it using print, JSON, or RPC.
Choose qwen-code if you…
- want to use an agent through editors, desktop, web, or chat as well as the terminal.
- need listed capabilities such as SubAgents, Agent Teams, Auto-Memory, Auto-Skills, or MCP.
- plan to connect Qwen, other providers, or local models, or use TypeScript, Python, or Java SDKs.
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.