Help & Ecosystem
DSH vs Cursor / Windsurf / Trae / Qoder / CodeBuddy
DSH is an open-source agent runtime; they are commercial AI IDEs — different layers that can coexist
A common question: how does DeepSeek Harness differ from Cursor, Windsurf, Trae, Qoder and CodeBuddy? The short answer: they live on different layers. DSH is an open-source agent runtime; those are commercial AI coding products for developers, mostly in IDE form.
Product landscape
Timeliness
The table reflects public vendor information at the time of writing; these products iterate fast, so check each vendor's site for details.
| Product | Vendor | Form | Open source | Position |
|---|---|---|---|---|
| DeepSeek Harness | DeepSeek AI | Open-source agent runtime (Web GUI / CLI / headless) | ✅ MIT | A composable plugin-based runtime |
| Cursor | Anysphere | AI code editor (IDE) | ❌ Commercial | AI coding inside the editor |
| Windsurf | Codeium | AI IDE | ❌ Commercial | Agentic IDE |
| Trae | ByteDance | AI IDE | ❌ Commercial | AI IDE for Chinese developers |
| Qoder | Alibaba | AI IDE / intelligent coding | ❌ Commercial | AI coding in the Alibaba Cloud ecosystem |
| CodeBuddy | Tencent | AI coding assistant / IDE | ❌ Commercial | AI coding in the Tencent ecosystem |
Key differences
Different layers
- DSH is a runtime: model adaptation, tool execution, filesystem, sandbox, approvals and persistence — you can build any product form on top (Web, CLI, SDK, automation);
- Cursor / Windsurf / Trae / Qoder / CodeBuddy are products: complete "human writes code in an editor" experiences, each typically embedding an agent runtime of its own.
Different control
- DSH: MIT open source, runs locally, model/sandbox/approvals are swappable, and you decide the data path;
- Commercial IDEs: closed-source products; model choice and data paths follow each vendor's terms of service.
Different extension models
- DSH: plugin-based extension (Cordis plugins, Skills, the MCP bridge, dynamic plugins);
- Commercial IDEs: each offers plugins/MCP to varying degrees, but the extension surface is bound to the product.
They are not replacements
The more common pattern is coexistence:
- Write code in Cursor / Windsurf / Trae / Qoder / CodeBuddy;
- Use DSH for what they don't cover: programmable automation, CI integration, custom toolchains, plugin development, and local agents with a controllable data path;
- DSH's model layer is Responses-API compatible (fits the Codex ecosystem), and hook bridges let you reuse Codex / Claude Code hook configs — see migrating from Codex / Claude Code.
When to choose DSH
- You want full control of the runtime: open source, local, swappable model and sandbox;
- You need programmatic/automation integration (headless, Python SDK, ACP);
- You are building your own agent product or plugins for a team;
- You have strict data-path and compliance requirements.
When to choose a commercial IDE
- You want an out-of-the-box AI experience inside the editor;
- You depend heavily on one vendor's ecosystem (e.g. Alibaba Cloud, Tencent Cloud);
- You don't want to maintain any runtime components.
Related pages
- Comparisons with other agent harnesses: ecosystem
- Migration paths: Migrate from Codex / Claude Code
- Security and data paths: security & compliance