Plugins

Web chat entry for DeepSeek Harness: a sidebar button opening chat.deepseek.com in a dedicated desktop window under dsh-desktop, with in-webview fallback for plain web environments.

Prompt enhancement for the composer: an "✨ Enhance" button rewrites your draft prompt into a clearer, more structured version with first-principles thinking, grounded in session context, memory and recent conversation; asks clarifying questions in a card when key info is missing, then previews the result before applying it to the input.

Phone access to DSH over a self-hosted relay (WSS via your own TLS-terminating proxy): bundle plugin with bridge supervisor and QR login, a native Android app, and server-side device revocation.

Brain-inspired cognitive plugin: episodic, semantic, procedural and emotional memory with reinforcement-learning signals, a goal stack with time triggers, curiosity-driven autonomous web research and proactive initiatives.

Model Capability Manager for DSH Web: thinking levels, context window, output caps, input modalities, gateway compat presets, EN/中文 UI.

CLIProxyAPI quota for DeepSeek Harness: a ring beside the model picker plus a settings panel listing every account quota windows with plans and reset times.

Live2D companion for DSH: a floating Cubism model with state-driven expressions and mouse tracking; config-driven geometry (size/position from the plugin config); official Haru sample bundled (© Live2D Inc.).

COM-driven real Microsoft Office automation for DeepSeek Harness: drives a running Excel/Word instance through OfficeMCP — VBA macros, pivot tables, live formula recalculation, and deep document layout; plus an accounting suite (double-entry journal posting with debit/credit balance check, and SUMIF general ledger).

Ports the obra/superpowers methodology as 14 native DSH skills covering planning, TDD, debugging, and code review.

About section for the DeepSeek Harness settings: version info, npm latest/next update check with one-click install and auto-restart, and GitHub release history.

Recall, edit-and-resend and regenerate, plus in-conversation versioning: a timeline of every rewind, artifact rollback (git-first, snapshot fallback), a fork map of explored paths, session lineage, and a real-time watchdog that snapshots the log at the first sign of concurrent writes. Edits auto-stop the running agent (official cancel/whenIdle) so rewinds never corrupt the durable log or break /compact.

Identity-gated Tailscale access to the Web GUI with dsh still bound to loopback: a 127.0.0.1 proxy published by `tailscale serve` admits a request only when the Tailscale login it stamps is allowed, with an optional per-device allowlist, so the privileged /api methods behind the loopback check — Settings, Models, Plugins — answer without dsh being told to trust a remote host.

Agent-driven kanban board: one board per workspace, per-task agent sessions, and a guarded human/agent workflow (Backlog → To Do → In Progress → Review → Done).

A governed swarm of six specialist DSH agents — orchestrator, planner, knowledge-base bridge, developer and two reviewers — turns a requirement into a strict phase pipeline where every delivery must prove itself with structured evidence before the next phase may start; reviewers are read-only, code merges only after a review pass, and an append-only event log gives full replay and audit on a live kanban board. Its design draws inspiration from the Hermes Agent kanban.

Embedded MCP server letting external agents (Hermes, Claude Code, etc.) drive DeepSeek Harness over StreamableHTTP: sync/async task execution, a three-tier file sandbox, a Web-backed approval bridge, session management and search, and path-jailed file tools.

Message-level full-text search across DSH sessions via an FTS5 trigram index (user / assistant / steering / tool with per-kind filters), deduplicated results across fork/continued sessions, read-only context preview with auto-scroll to the focused message, one-click jump to the real session, and incremental/full index rebuild with health check; zh/en i18n follows the Host locale service.

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.

Manage Git-backed DSH plugin markets, installed agent skills and optional Codex hooks from the web settings page.

Unofficial Grok integration for eligible X Subscription, SuperGrok, or X Premium accounts: shared Grok CLI OAuth, chat with optional main-loop web/X search, and experimental image generation, image editing, and video generation (all media features disabled by default).

Migrate Codex (OpenAI Codex CLI / Desktop) MCP servers, skills, instructions, memory and session history into DeepSeek Harness with a visual panel or CLI, with dry-run previews and secrets migrated as-is.

SSH profiles, browser terminals, SFTP browsing, port forwarding, proxies, and session-scoped AI access for DeepSeek Harness.

Windows system-tray launcher for dsh web: console-free background start (VBS/powershell chain), a tray menu with open UI / logs / icon presets / launch-at-login / restart Harness, one-click install and update of the bundled dsh-plugin-usage-meter, and a dsh plugin half that starts the tray together with the harness.

Rewrites the Chinese copy of a market-installed plugin into English using a model already configured in the harness — automatically when the plugin is installed, then live-reloaded. Each file is translated in one whole-file pass, validated by a real parser where one exists (node --check for JavaScript, JSON and YAML parsers otherwise) and handed back to the model with the error for up to three repair attempts; files above 48 KB, or that never parse, fall back to a line-range pass that checks every returned line against the original for structure. Trigger phrases and locale tables can optionally be preserved rather than translated, and the untouched original is kept beside the file as a .zh.bak.

Named subagent roster: manage role entries (model, persona, tool filter, depth, background mode) from a hot-reloaded settings page; the model picks one with list_subagents and dispatches by id with delegate — foreground, background, or continuable.