DeepSeek-Reasonix vs qwen-code
AI coding agents for repository work compared
DeepSeek-Reasonix and qwen-code are coding agents that help developers work on software projects through a terminal and other interfaces. DeepSeek-Reasonix centers on a shared local engine with planning and change-management controls, while qwen-code emphasizes a broad range of providers, interfaces, and automation options.
DeepSeek-Reasonix: Run a Local AI Coding Agent
DeepSeek-Reasonix is a Go-based coding agent for complex software engineering tasks, available through a CLI, desktop app, browser, and editor integrations. It combines configurable model providers with tools and controls for managing longer agent runs.
qwen-code: Use an AI Coding Agent Across Your Tools
Qwen Code is an AI coding agent for working with code from a terminal, editor, desktop app, browser, or chat. It supports multiple model APIs and can also run in scripts or through SDKs.
| DeepSeek-Reasonix | qwen-code | |
|---|---|---|
| Language | Go | TypeScript |
| License | MIT | Apache-2.0 |
| Stars | 35.7k | 28.4k |
| Forks | 2.4k | 3.2k |
| Last analyzed | Oct 3, 2026 | Oct 9, 2026 |
Key differences
- DeepSeek-Reasonix is written in Go and licensed under MIT; qwen-code is written in TypeScript and licensed under Apache-2.0.
- DeepSeek-Reasonix supports configurable OpenAI-compatible endpoints and optional separation of planning and execution across two models; qwen-code lists Qwen, major commercial APIs, third-party providers, and local models.
- DeepSeek-Reasonix offers CLI, desktop, browser, and ACP editor access through a shared local engine; qwen-code also lists editor, desktop, web, and chat integrations, plus scripts and SDKs.
- DeepSeek-Reasonix provides plan mode, permission controls, a workspace sandbox, and per-turn checkpoints; qwen-code lists SubAgents, Agent Teams, Auto-Memory, and Auto-Skills.
- DeepSeek-Reasonix's active 2.x studio branch is in development, with 1.x described as stable and in maintenance; qwen-code labels its web UI and daemon mode experimental.
Choose DeepSeek-Reasonix if you…
- want a Go-based agent with a shared local engine across CLI, desktop, browser, and ACP editor use.
- need planning, permissions, sandboxing, and checkpoints to manage longer agent runs.
- prefer configuring OpenAI-compatible endpoints and optionally separating planning from execution across two models.
Choose qwen-code if you…
- need integrations for editors, desktop, web, or chat alongside terminal use.
- want to choose among Qwen, other model APIs, third-party providers, or local models.
- need non-interactive scripts, CI/CD use, or integrations through TypeScript, Python, or Java SDKs.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.