Plugins

Register locally-defined custom agents as callable subagents in dsh: the main conversation invokes any agent by name via use_agent, each running as a real dsh subagent with its own persona. Supports breakpoint resume for interrupted runs.

Adds a take screenshot tool plus two optional automatic capture points, putting the screen into the conversation as an image block; requires an image-capable model.

Let your AI agent see and operate a real Android phone: phone_look (vision + UI-tree fusion), tap/swipe/type, screenshot — over adb, for any MCP client.

A content-aware PDF reading plugin for vision models: profiles each page for figures (vector and raster), tables, formula risk and double-column layout, then applies content-aware hybrid extraction, rendering figure/table/formula pages as high-DPI region crops. Provides a low-resolution preview to understand the page layout, and renders a specified region at high resolution. Packaged as multiple tools for agents.

Wraps globalThis.fetch to route DeepSeek Harness model-API requests through an HTTP/SOCKS proxy by target domain, leaving all other requests on the direct connection, without modifying Harness source.

AgentDuel is a code-battle game. This plugin lets you complete the entire game loop inside DSH: manage deathmatch characters and capture-the-flag teams, submit agent code, start battles, watch replays, and use DSH conversations to keep improving agents based on battle results.

Manages OpenCode Zen free-tier and Go-tier models in settings.yaml — fetches the live model listings from opencode.ai, reports configured-versus-live drift per route, and adds or removes entries through four agent tools and an OpenCode Models settings section.

Adds a Compact context button and a New session button to the context meter panel; compact submits /compact through the same command channel, and new session starts a fresh session in the same workspace.

Windows system and custom desktop notifications for DeepSeek Harness events: task completed, failed, running, awaiting approval, and awaiting answer. Click-to-jump to the session.

DeepSeek Harness Web plugin — PDF text-layer and scanned-PDF OCR, Office docx/xlsx/pptx to Markdown, TIFF/epub and long-document index cards.

Aggregated web search provider that fans one query out to 11 engines (Exa, Parallel, DuckDuckGo, SearXNG, Brave, Tavily, Serper, Mojeek, DeepSeek, Anthropic, OpenAI) concurrently, URL-dedupes and merges the results. Ships a settings card for toggling backends, storing API keys in the credential store, and tuning concurrency and timeouts.

Consolidated toolkit for session identity, global & workspace prompts with referenced files, session auto-resume, UAC-free web restart, and peer-session messaging.

Prompt library above the DSH composer — a 📚 button expands a searchable panel to insert saved prompts into the draft with one click (appends, never overwrites), persisted in a host-side JSON file.

Drag-to-resize the chat content width in the DeepSeek Harness web UI: a handle on the column right edge overrides the built-in 748px width (default 1040px, 520-2400 range, persisted per browser, double-click resets).

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.

Migrates skills from other agents (Cursor, Claude Code, Codex, OpenCode, and more) into DSH: scans 14 agent platforms plus the shared ~/.agents skills layer, detects duplicate names across sources, lets you pick the best source per skill, copies them into the DSH skills directory, and rolls back previously migrated skills.

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.

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.

Token usage statistics for DeepSeek Harness: per-model daily and range charts plus a yearly contributions heatmap.

Requires DSH 0.1.6-alpha.2. Annotate completed assistant replies, submit multiple drafts with official composer text and attachments as one Session message, navigate linked model replies, and use Settings to hide selected reasoning or tool details without changing stored events.

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.