Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.
Deferred tool loading for DSH: send MCP tools as a name index and load details on demand, without breaking the prompt cache. Built on DeepSeek Harness.
Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:GunjanPatel359/dsh-tool-search
Rolling-window batch orchestration for DeepSeek Harness subagents with synchronous and asynchronous modes, user-owned concurrency, and per-task acceptance reports.
Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:YixiangTang/dsh-tool-subagent-batch
TDD test runner tool for DeepSeek Harness: run test commands, parse structured failures (Jest/Vitest/Pytest/Go/Rust/TAP/tsc), and drive a red-green loop
Control which tool schemas are injected into the DeepSeek Harness model context. Registers a tool_visibility manager tool AND a settings-page UI (Settings → 工具注入控制) with per-tool toggles; backed by the framework-native tools.restrict filter and persisted to a JSON state file.
Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:rayfalling/dsh-tool-visibility
Model-facing image_describe (识图) tool for DeepSeek Harness: describe a local image through the DashScope OpenAI-compatible API (qwen3.7-flash). Bring your own DASHSCOPE_API_KEY.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wanshichenguang/dsh-tool-vision
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Explore capabilities
Read the description, AI analysis and original README to understand what a plugin does.
Check and install
Review compatibility, dependency ranges and instructions, then copy the available install command.
Questions about DSH Hub
What is DSH Hub?
DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.
Does inclusion mean a plugin is tested and compatible?
No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
How do I install a plugin?
Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.