Plugins

DSH-native integration layer for the Minta memory engine: composes the official dsh-mcp-client row, registers the minta-memory-governance skill plus a session-start memory prewarm, and ships a Minta agent preset; requires the separately deployed Minta engine (Python/Docker) to provide the 19 MCP tools - not usable without it.

Per-conversation persona / master prompt plugin: create, edit, switch and delete persona templates from the composer toolbar, with highest-priority system-prompt injection, fixed interaction guardrails, subagent inheritance, new-conversation default, and local JSON persistence.

DeepSeek Harness adapter for Koma Miko Agent Specs.

Watches DSH and plugin releases, retests exact published artifacts in disposable runners, publishes machine-readable compatibility evidence, and reconciles managed issues after fixes.

Branch switching and isolated git worktrees as real workspaces, from the Web UI composer.

Guarded context compaction for DeepSeek Harness (dsh): the LLM proposes, deterministic guards dispose — eager per-atom shrink (extract/summary/false under verbatim guards) + lazy reference-graph eviction (0-LLM) + byte-exact recall from an append-only log.

Injects one fixed system-prompt section so the agent thinks and replies in Chinese, regardless of the user's language.

Usage tiers and shareable stats cards: 🐟→🐳 ranks by monthly token burn with a locally-computed estimated percentile, precise pricing for 46 models across 6 vendors (including size-tiered Chinese pricing), backfill of pre-install sessions, and old-vs-new comparison across the 2026-08-17 rate change. Local-only, no telemetry.

DeepSeek Harness plugin: one-click ✨ polish for composer drafts — flash rewrite, auto fill-back · DeepSeek Harness 插件：输入框草稿一键 ✨ 润色，flash 改写、自动回填

Make any project AI-agent-ready in one command. Adaptive tech stack detection (7 languages × 14 frameworks × 61 components), auto-generates AGENTS.md, docs skeleton, CI/CD, and testing infrastructure. 一句话让任何项目具备 AI 开发能力。

Android GUI Agent with ADB screenshots, compact UI hierarchy grounding, verified iterative actions, approvals, and a Mobile Web view.

OpenCode Go subscription usage (rolling/weekly/monthly windows with reset countdowns) in the composer dock, with a built-in credential editor.

Unofficial upstream bundle for DeepSeek Harness. CodeBuddy gateway with a runtime-synced model catalogue, per-model reasoning efforts, web search/fetch, image generation and a streaming credential bridge, plus TraeWork CN and Qoder CN subscription channels via local translation gateways and a key-type OpenAI-compatible provider registry, all managed from an accordion settings card.

One DSH plugin that aggregates the models of WorkBuddy (personal multi-account, enterprise and the WorkBuddy AI international edition), Qoder CN and Trae CN into a single model picker with a shared conversation history, live credit multipliers, per-model reasoning effort, the largest context window the international edition declares, and daily check-in where the channel offers one.

Unofficial upstream bundle for DeepSeek Harness. CodeBuddy gateway with a runtime-synced model catalogue, per-model reasoning efforts, web search/fetch, image generation and a streaming credential bridge, plus TraeWork CN and Qoder CN subscription channels via local translation gateways and a key-type OpenAI-compatible provider registry, all managed from an accordion settings card.

Codex-style drag-drop: drag any file into the DSH web GUI, it lands in ~/.dsh-dropbox, and the path is inserted into the composer as a whole blue chip.

Real mouse and keyboard for a DeepSeek Harness agent: describe what to click in words, a vision model finds it, a USB HID device clicks it.

From chat to canvas to artwork — drive ComfyUI as a visual workflow IDE inside DSH. Embed ComfyUI (local or cloud) as a split-screen canvas in DeepSeek Harness Web: the agent sparks ideas, writes prompts and scripts right in the chat, applies them live to the canvas in front of you, and produces images, music, video, and 3D. From idea to finished output without ever leaving the conversation or switching front-ends: Canvas ops — compose and arrange pipelines, read/write workflows, edit nodes, wire links, run, tune parameters, and debug errors, all live and WYSIWYG on the exact canvas you are looking at; Production tasks — batch parameter sweeps (batch_run) and automatic output-image retrieval back into the chat (get_outputs), powering multi-modal creative and batch generation across images, music, video, and 3D; Environment upkeep — one-click launch of ComfyUI and one-click upgrade of the core plus every custom node (upgrade), keeping the stack healthy without interruption. This package is the DSH-side plugin, and it ships the ComfyUI-side bridge node too.

Structural code index for DSH: Tree-sitter symbol search across 8 languages (including C/C++), a bounded repository map ranked by import-graph PageRank and injected into the system prompt, function-level call graph via code_refs, optional circular-dependency and orphan-module checks via code_health, plus working-tree change context and task-aware code context.

The complete #dsh-plugin mall inside DeepSeek Harness: browse, search and score the full GitHub dsh-plugin topic catalog refreshed every 2 hours, AI pre-install review with install/caution/avoid verdicts, five-dimension scores with radar charts, nine-language UI, editor picks and personalized recommendations, one-click install/update/rollback with a global task panel, and an in-agent /dsh-mall skill.

Forces context compression when running low-context llama.cpp models such as Qwen3.8-27B, improving model efficiency and usage smoothness, together with well-refined compaction prompts.

DeepSeek usage dashboard for DSH Web: days-left estimate from recent average spend, daily/monthly/cumulative costs with period-over-period comparison, per-model cost ranking, cache savings, peak/off-peak pricing impact, and a draggable floating balance widget.

Adds a generate_image tool backed by the FAL queue, any OpenAI-compatible images API, or a ChatGPT/Grok subscription, and shows the result inline in the conversation.

Per-round thinking-level (reasoning_effort) control for DeepSeek Harness: pick Auto and it schedules low/high/max from the recent tool-call history, or fix a wire level (off/on/minimal/low/medium/high/xhigh/max) manually, with custom wire mapping, a model-aware capability guard, and context-window presets (64K–1M); its per-model capability card pairs with a separate plugin, [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installable from dsh-market), so custom OpenAI-compatible gateways (vLLM / LM Studio / self-hosted) can try reasoning — the card writes llm-pi-ai capabilities, the adapter drives the wire (compat.thinkingFormat), and this plugin auto-maintains the takeover list.