Plugins

Hook DeepSeek Harness into a Hermes pipeline: dispatch-spec template, model-tier routing, orchestrator-run quality gates, git single-writer rule, as a SKILL.md pack (bundle installable).

One shared Obsidian vault for every agent: dependency-free Python core (search/promote/adjudicate/forget), vault template, dsh plugin (memory_search/show/submit/status).

One memory layer for every AI tool and agent: Context Bundle injection, prompt-time recall, MCP tools, and turn-end DSH thread capture.

Import claude-code / codex / reasonix / zcode chat history into dsh sessions: workspace binding, tool calls preserved, oversized-session protection, zcode compaction restore.

Copy and open `dsh://` session deep links, or paste them into another conversation to inject a bounded, read-only snapshot of the referenced session.

Bring the deepseek.com web/app chat experience to DSH: edit your prompt and regenerate answers in place, with a per-message <i/N> version pager (tree model, stable across conversations).

Bottom multi-tab terminal panel (node-pty + xterm.js) pinned to the viewport bottom, always below the input box.

Evidence-backed inspector for DSH Web built-in capabilities: runtime/config provenance, compatibility and drift diagnostics, plus fail-closed controls for nine reviewed UI leaves.

Collapse noisy messages (Think, Bash, etc.) in conversations.

Codex-style conversation outline for DeepSeek Harness: a floating panel listing every user question in the current conversation with search, load-older and click-to-jump (scroll + highlight). Bilingual zh-CN / en.

One-click free-model setup for DSH web, built for coding beginners: one-click installer for Windows (install.bat) and macOS/Linux (install.sh, v1.7.0+); four permanently free channels — Zhipu GLM (text + image), SiliconFlow (Qwen3-8B plus 15+ sub-9B models), iFlytek Spark Lite and the OpenRouter free pool, which routes through openrouter/auto and picks from a pool that changes over time; bottom-left setup hint hides once any free model is connected; real-time DeepSeek peak/off-peak pricing reminder; bundled beginner help center.

A small self-contained power control for DSH: sidebar power button with an upward restart/shutdown menu and a Windows-shutdown-style overlay. Own restart & shutdown engine (no dependency on other plugins), dynamic-port aware.

Laya typed decisions (`noul` yes/no, `choice`, `score`) as a first-class Cordis service (`ctx.laya`) plus the model-visible `laya_ask` and `laya_plan` tools. The plugin itself installs and downloads nothing: it is a client of a `laya-mcp serve` sidecar you start yourself, and it reports that the sidecar is not running instead of failing obscurely at the first tool call.

将 Qoder（国内版 / 国际版）的模型接入 DeepSeek Harness — bring Qoder (CN & international) models into DeepSeek Harness.

Embedded task-management engine.

Automatic cross-session memory for DeepSeek Harness, backed by a local EverOS service.

Per-conversation x-opencode-session header injection for OpenCode Go in DeepSeek Harness (DSH). Fixes 400 MissingSessionID, keeps prompt-cache routing optimal, scoped strictly to opencode.ai, runtime-switchable without restart.

Cristiano Ronaldo desktop pet for DeepSeek Harness: a chibi Portugal number 7 mascot in a bottom-right overlay whose animation follows the agent state — dribbling while tools run, thinking during a turn, waiting at approvals, diving on errors — and jumping in a SIU celebration with a host-process sound when a turn completes; it can be dragged, looks at the cursor on hover, dives on a triple click, and a settings panel manages several pets and imports custom spritesheets. It also runs as a borderless, always-on-top native Windows window that keeps living after the browser is closed: hovering shows the current workspace and conversation title, double-clicking opens the Harness page in Edge, and dragging, mouse-wheel resizing and a right-click menu work there too, sharing position, size and behaviour with the web panel. Pet sheets may use any cell resolution and scale preserving aspect ratio (atlas.scaling: smooth | pixelated). v2.2 adds a video route — feed it a clip (green screen or ordinary footage) and its real motion becomes the pet animations, via automatic backdrop sampling, chroma keying with spill suppression, motion-based segment splitting and union-bbox alignment; already-extracted PNG frames work too, with no video decoder installed, and the clip audio can be cut into per-action sounds. Pets can also be published to the community gallery under the DPSL-1.0 sharing declaration, and installed from it in one click.

ICVO coding-standards kit for DeepSeek Harness (formerly dsh-coding-kit): a bundle plugin that registers tools on load and injects the standards only when apply_coding_standards is called, plus a P0 gate CLI (npx spec-wave) with G1-G7 process commands, skills install, host apply, and IDE-block refresh.

Role-based AI swarms for DeepSeek Harness: an architect plans, parallel builders execute, reviewers gate quality, and an integrator ships. Per-role model pinning with fallback chains, review loops, evidence contracts, human-gated reviews, quota-aware pause/resume, and a live kanban + flow chart in the web GUI. 40 tests; installs from GitHub or npm.

Manage MCP servers, skills, and tools for your agent — true in-context state (loaded/truncated/evicted) and per-session switches.

Dispatch subagents with named profiles (model, reasoning effort, and tool scope per task), safety checks, cost estimation with savings comparison, and a full dispatch decision ledger.

Model-facing display_file tool that renders 36 file extensions inline in the web UI: images with a click-to-zoom lightbox, seekable video, audio, PDF, Office and OpenDocument files converted to PDF on the host via LibreOffice, and local HTML in a sandboxed frame; bytes stream from a signed HTTP route with range support, and PNG/JPEG/WebP/GIF also enter model context on image-capable routes.

Terminal coding agent for DeepSeek Harness with a full-screen alternate-screen UI, turn-aware session navigation, and a gated /ship workflow that takes one-line requirements through specification, TDD, and rerun acceptance checks.