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On the recordRead 7 Oct 202624 facts
Qwen Code
On the record
- Agent features
- Its listed capabilities include subagents, agent teams, dynamic workflows, automatic memory and skills, hooks, code review, plan mode, and sandboxing.github.com · read 7 Oct 2026
- Authentication availability
- The documentation says the Qwen OAuth free tier was discontinued on 2026-04-15 and recommends using a currently supported authentication provider for new setups.qwenlm.github.io · read 7 Oct 2026
- Automation
- Qwen Code can run in headless mode for CI/CD workflows, including GitHub Actions tasks such as replying to issues, reviewing code, and submitting pull requests.qwenlm.github.io · read 7 Oct 2026
- Browser support
- Browser Use requires macOS or Linux, Chrome 125 or later, Qwen Code 0.24.2 or later, and a separately installed Chrome extension.qwenlm.github.io · read 7 Oct 2026
- Coding tasks
- It can read and modify local files, run shell commands, fetch web content, and use those results to answer coding requests.qwenlm.github.io · read 7 Oct 2026
- Editor and chat integrations
- The project lists integrations for VS Code, JetBrains, Zed, Telegram, DingTalk, WeChat, and Feishu.github.com · read 7 Oct 2026
- Extensions
- Extensions can package prompts, MCP servers, subagents, skills, and custom commands, and the docs say compatible extensions can be installed from several other ecosystems.qwenlm.github.io · read 7 Oct 2026
- IDE support
- The IDE integration documentation supports Visual Studio Code and editors that support VS Code extensions, with workspace context and native diff review.qwenlm.github.io · read 7 Oct 2026
- Installation requirement
- The npm installation requires Node.js 22 or later.github.com · read 7 Oct 2026
- Installation requirements
- The overview provides installers for Windows, macOS, and Linux and says the npm fallback requires Node.js 22 or later.qwenlm.github.io · read 7 Oct 2026
- Integrations
- The overview describes integrations with Google Drive, Figma, Slack, and Jira through MCP, and the documentation lists messaging channels including Telegram, WeChat, QQ, DingTalk, WeCom, and Feishu.qwenlm.github.io · read 7 Oct 2026
- License and pricing
- The repository identifies the project as open source and lists an Apache-2.0 license; the opened pages did not state a Qwen Code subscription price.github.com · read 7 Oct 2026
- MCP integrations
- It connects to external tools, databases, APIs, and workflows through MCP using local stdio, SSE, or streamable HTTP transports.qwenlm.github.io · read 7 Oct 2026
- Model providers
- It supports OpenAI-compatible providers, Anthropic, Google Gemini, Vertex AI, Alibaba Cloud, and custom or self-hosted endpoints, with model switching at runtime.qwenlm.github.io · read 7 Oct 2026
- Pricing
- The product overview describes Qwen Code as open-source and free, but the documentation does not list a current product plan or price.qwenlm.github.io · read 7 Oct 2026
- Privacy
- Optional usage statistics may include command, performance, error, and feature data; Qwen Code says it does not collect code, prompts, or model responses as usage statistics.qwenlm.github.io · read 7 Oct 2026
- Privacy controls
- Usage statistics are enabled by default in the documented settings and can be disabled through settings or an environment variable.qwenlm.github.io · read 7 Oct 2026
- Provider data handling
- Qwen Code says it does not use prompts, code, or responses for model training; data handling depends on the selected AI provider’s policies.qwenlm.github.io · read 7 Oct 2026