Plugins

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

Ranks OpenRouter providers for the current DSH model by quantization, speed, cache-heavy price, context, and uptime, with one-click switching to help reduce token costs.

Native DSH bundle wrapping the codegraph CLI as model-visible codegraph_* tools (status/init/index/sync/uninit/query/node/explore/files/callers/callees/impact/affected).

TokenLab provider bundle for DeepSeek Harness with native Responses, Messages and Chat routing plus full multimodal and async tools.

Live MCP server status in the DeepSeek Harness conversation composer — see which MCP servers are actually connected before you hit send.

模型能力管理：为手写模型设置图片输入与推理强度（可一键继承目录模型的精确能力）。

MUV engine for DeepSeek Harness: runs the regex_scripts from a character card against model output, tracks variables, renders a status bar, expands macros and LaTeX, and styles tagged code blocks such as letter, terminal, newspaper and phone. Needs dsh-muv-table installed as well, which is its companion plugin.

A detachable usage atlas and model-attributed token projection for the DeepSeek Harness Web UI

Routes dsh requests by conversation scenario and retries with fallback models when requests fail.

Show local images and short videos in the DSH conversation card with one-click download of the original file, or offer any other local file for download; works over local and remote connections and keeps the media itself out of the model's vision context.

Official-grade DeepSeek Harness memory plugin backed by Hindsight (vectorize-io). Add /hindsight commands and model tools that recall, remember, inspect and forget through a Hindsight memory bank.

DSH plugin: per-model reasoning levels for custom API models, with family presets and an official-settings-page editor.

将 WorkBuddy 桌面 App 包含的模型自动接入 DeepSeek Harness — bring WorkBuddy desktop app models into DeepSeek Harness with zero configuration.

Model-facing MS Word (.docx) tools: read documents as Markdown or structured blocks, create documents from Markdown, and edit documents round-trip; ships binary fs providers (writeBytes, incl. a sandbox-preserving one) for hosts without it

Explicit, evidence-first multi-model consultation for DeepSeek Harness

Semantic model routing plugin for DeepSeek Harness

Bridges images into text for DeepSeek Harness: when the session's selected model cannot see images, a configured vision model describes them and the descriptions enter the durable session history as folded context rows — your message stays untouched.

Per-model reasoning effort (off/minimal/low/medium/high/xhigh) for GPT, Codex, Gemini and OpenAI-compatible models. Installs a helper, not a runtime adapter: run enable-capabilities.ps1 once per profile (Windows) and restart — it declares the levels in ~/.dsh/settings.yaml, with a disable script and a backup to revert.

Display companion for dsh-vision-router: keep Auto Vision routing, and put a square picture button on each original model row. Does nothing unless dsh-vision-router is installed.

DSH web plugin: a green/red status dot left of the composer model select showing whether DeepSeek API is currently in official peak time (red) or off-peak (green). Click for a live dashboard: countdown, 24h day track, stat tiles.

DeepSeek Harness plugin: a deployment deny list of filesystem roots the model may never touch - fences read, write, search, and shell tool calls at tools/pre-execute

Specialist subagent delegation preset (orchestrator + 5 roles: oracle/designer/fixer/explorer/librarian) that seeds itself into your DSH home — background-first delegation, JSON-driven models/effort/tool permissions, scoped MCP for research.

A DeepSeek Harness plugin that records which files the agent edited, with which model, and in which session into git-ai

DeepSeek Harness model selector upgrade: one-level model & reasoning-effort picker with 5 Liang tiers, custom model aliases, and peak/off-peak price countdown.