Plugins

Jev DSH 决策引擎｜面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness，通过 iPolloWork 支持 OpenCode、Codex Harness。

DeepSeek Harness 独立社区插件商店：发现、安装并提交经过验证的插件、工具与扩展。 | Independent community plugin directory.

Progressive-disclosure MCP gateway that searches large remote catalogs through `mcp_search`, then invokes exact schemas through `mcp_call` with lazy connections and bounded caches.

Bilibili-style danmaku overlay for the DSH Web chat area: scroll, top and bottom tracks driven by agent events, three preset packs, optional LLM-generated comments, a draggable control ball, per-session pools with replay, and a settings card.

梁文谷 DSH 插件：在会话标题栏右侧（日志导出按钮左侧）显示当前算力错峰时段（工作日 09:00–12:00 与 14:00–18:00 为梁文峰，其余时间含整个周末为梁文谷），并实时倒计时当前时段剩余时间；谷期跨天计算，直达下一工作日 09:00。适配 dsh-v0.1.2-alpha.1 ~ rc.1。

Per-workspace completion ringtones plus attention sounds for approval, question, plan-review, goal-blocked, and task-failure events, with built-in synth, voice (TTS), and custom audio.

Modellix integration for DSH: schema-driven image, video and audio generation in a split Design workspace, a live LLM model catalog, and native web search and fetch providers through one API key.

Fronts stdio MCP servers with three router tools (list_capabilities, describe_tool, call_tool) so schemas load on demand instead of riding every request; shapes every tool result through a deterministic output ladder that archives the original first (retrieve_spill reads it back); prices tool groups in tokens and can hide built-in groups per agent. Bridges to a standard-library Python router, so Python 3.9+ is required.

DeepSeek Harness plugin for organizing AI discussions into research topics, traceable knowledge cards, and reusable research materials on an interactive graph

DeepSeek Harness 的实验性 agent preset：锚定轮路由、按 epoch 晋升、渐进式工具解锁、Windows Git Bash 执行器与可选预热回放。

Native DeepSeek Harness (dsh) plugin: hybrid local and XMemo cloud memory for Cordis-based agents.

Turn every idea into an image or video with Kling AI. In DeepSeek Harness, use natural language for text-to-image, image-to-image, text-to-video, image-to-video, reference-image creation, task tracking, and result previews.