Plugins

Start and detach standalone chats without a mandatory workspace, keeping DSH's native workspace UI intact.

Pre-install static security review and runtime guard for dsh plugins: deobfuscation decoding, supply-chain checks, web one-click review/install/uninstall, and optional runtime tool-call guard.

RLM mode for dsh: recursive sub-agents via a unified rlm() function — spawn, await, and chain child agents as first-class Python calls. Adds a persistent IPython kernel with tools.* bindings and context-as-variable.

Superself's self CLI as model-facing tools (project context, work units, reports, decisions) plus a /self command — cross-session, cross-project project state kept outside the code repo.

Enhanced vision toolbox: 14 pixel-level vision tools (describe, ground, detect, crop, pixel-diff, OCR, long-screenshot OCR, vectorize, colors, cutout, screenshot, present, materialize, html-screenshot) driven by one OpenAI-compatible endpoint, with clean \[图片: path] bridge markers, content-safety classification and rate-limit auto-retry.

Drag-and-drop file upload for PDF, Word, Excel and images: dropped files are saved to a local directory and referenced by path, no base64 bloat in the chat.

A-share multi-agent analysis behind /trading-agent, ported from TradingAgents-AShare, running 14 roles (analysts, bull/bear debate, risk review, trader) through the harness LLM route.

DSH tools for reproducing and validating the ml-quant-trading protocol v1 CPU benchmark, then drafting an issue-ready report. Requires a local clone of initial-d/ml-quant-trading (set as the workspace or repoPath) plus Python and PyTorch; this plugin does not fetch the repository or install its dependencies.

ZCode-style persistent project memory with a full settings manager, index-first injection and agent memory tools.

Inline preview for \[图片: path] image bridge markers: after the marker renders, the image shows in chat automatically, keeping long instructions out of the conversation.

Conversation history rail on the left edge of the chat: each tick is one real user request, hover to preview its text, click to jump to that turn.

Proactive multi-model scheduling plugin: multi-source signal intake with dedup and urgency ranking, a four-way execute/defer/dismiss/ask-user decision engine, DAG plan generation with parallel model execution, quality reflection with automatic retry and model switch, long-term memory for task patterns and lessons, and strategy evolution via genetic algorithms with sandboxed evaluation and canary rollout.

Requires DSH >= 0.2.0-rc.1. Annotate selected text in assistant messages and official file/Diff views, then submit drafts with official composer text and attachments as one Session user message; the model answers each annotation in order with hoverable reply chips.

Roll back to before any of your questions or edit the last one and resubmit, with the workspace files of the discarded turns restored.

An Aether Gazer Verdandi-inspired DSH Web UI skin with light and dark backgrounds, wedding-themed chrome, responsive character art, and themed conversation and sidebar surfaces.

Interactive code-reading coach for DeepSeek Harness: a five-phase guided walkthrough of the source behind a paper, starting by identifying its language and framework.

Kanban board for DSH: task state machine with git branch isolation, agent auto-execution, and review-driven merge.

Game-style floating HUD: balance HP bar, context MP bar, official peak/valley pricing with countdown, auto-compaction under 5% remaining, and memory-carrying new conversation.

A floating, semi-transparent market ticker for DeepSeek Harness showing real-time level and change percentage for the Shanghai Composite, ChiNext, STAR 50 and Hang Seng Tech indices.

Image viewer for the dock workbench: PNG, JPEG, GIF, WebP, BMP, SVG, ICO and AVIF, with SVG rendered as image data only.

Import local Claude, Codex, Grok, Gemini, Copilot, OpenCode, and CC Switch config into DeepSeek Harness with OAuth login for supported providers.

Windows-only computer use for DeepSeek Harness: captures the virtual screen and drives mouse & keyboard through 9 tools built on PowerShell and Win32 SendInput; pairs with picturereader so text-only models can complete the screenshot-analyze-act-verify loop fully locally.

Passcode marketplace inside DeepSeek Harness: enter a six-character code to unlock and install plugins shared by creators, plus themes, backup, updates and diagnostics.

Chat with local DeepSeek Harness agents from iPhone iMessage: switch workspaces/sessions, start new sessions, and get replies in the Messages app — no extra apps, no servers, no cloud.