Plugins

A DeepSeek Harness (DSH) plugin that lets you control Universal Robots (UR) collaborative arms directly from natural language — by default an offline, kinematics-level simulated arm, with a real-robot channel that stays off until it is explicitly enabled. Needs a Python install with numpy and paramiko (pip install -r requirements.txt). Developed by Suzhou Nonead Robot Technology Co., Ltd. based on the same logic as the company's own nUR MCP Server. (Suzhou Nonead Robot Technology Co., Ltd.)

MCP server manager for DeepSeek Harness settings: add streamable-http or stdio servers, paste Postman-style headers, test connectivity, and toggle each tool so disabled ones never reach the model.

Adds Activity and Favorites views to the DSH sidebar for running, waiting, unread, recent, and natively pinned sessions across workspaces, while preserving the native workspace tree. Targets DSH 0.2.1-rc.2 only.

A searchable, workspace-grouped multi-select panel over DSH conversations for batch delete, archive and pin, with Shift-range and Ctrl-add selection.

Lists archived sessions, previews their content, restores them to the original workspace, and adds an optional archive confirmation.

Session recycle bin for DeepSeek Harness: deleting a session from its row menu (or in bulk from the sidebar header) moves it into a recycle bin kept for 15 days by default — 7, 15 or 30 in settings — and expired entries are purged automatically. The bin table shows the days left for each entry, restores it to its original workspace, and can delete an entry for good, one at a time or all at once.

OpenCode free models for DSH with dynamic model-list refresh, optional HTTP(S)/SOCKS proxy failover, a fail-closed tool bridge and offline agent-scoped compatibility auditing.

Connects CLIProxyAPI (CPA) to DeepSeek Harness (DSH) with multiple accounts, model filtering, native protocols, quota lookup and image / video generation; once configured, the selected models appear in the model picker automatically.

Community-maintained WorkBuddy and WorkBuddy AI model provider using local desktop sign-in, with model discovery and credit display. Declares DSH 0.2.1-rc.2 and rc.3 compatibility, with a CN compatibility layer that differs from the functy23 fork.

Model settings panel for DeepSeek Harness: set the default model for new sessions, plus separate provider/model/reasoning-effort overrides for subagents and goal rounds, with live reload.

Brings WorkBuddy free/paid models (domestic + international) into DSH without the desktop app, published as @bushizhanghan/dsh-workmate. This package is a maintained fork of Faide-cyber/dsh-workbuddy (whose upstream entry is already listed in this catalogue); do NOT co-install both, as they register the same provider id "workbuddy-ai" and will collide. v1.2.7 relocates over-long system prompts past the domestic gateway channel-risk classifier, rewrites the DSH brand string, and adds a debug dump; supports dsh 0.2.0-rc.2 through 0.2.1 (incl. prereleases).

Adds edit mode to the DSH settings nav for drag-reordering, per-section show/hide and named collapsible drawer grouping saved in the plugin's own settings namespace, plus pinning up to five sections to the main sidebar for one-click access.

Replaces the composer's model and reasoning-effort selector with a two-level menu and six slider skins.

Render Mermaid fenced code blocks as native diagram cards with 8 design-system themes and adaptive layout.

Desktop only. DeepSeek web chat, temporary side conversations, the API platform and conversation migration in DSH.

AOCI cognition panel for DSH: multi-workspace AOCI overview, per-repo index and governance view, MCP binding diagnosis, and guided or batch initialization. Governance, verification and guided/batch initialization require the external aoci CLI on the host; index browsing works without it.

Long-term memory for DSH stored as plain Markdown. Real user/assistant exchanges are captured into daily session files without a model call; an LLM pass then distils them into memories that are injected into the system prompt each turn. Retrieval is local (CJK bigram + BM25) in three levels — index, summary, full text — so the model only pays for the detail it asks for. Memories carry priorities; P0 and user-written entries are never changed automatically, and forgetting marks an entry stale instead of deleting it, so the whole chain stays auditable in status.md. Six tools cover recall, write, status, extract, feedback and the skill library; when a cluster of memories is ready to become a skill, a card appears at the end of the turn, writes the SKILL.md on click, and installs it only after you approve. Learning is on by default and follows the conversation model; turning the master switch off stops the LLM entirely while capture keeps working. Failures are surfaced in the prompt and in status.md instead of being swallowed. Pure JavaScript, no third-party runtime dependencies beyond the harness packages.

Interactive character for Harness Desktop with task expressions, rice feeding, an iron-basin hat, dragging, and time-based greetings.

Plugin index inside DSH that lists over 10,000 third-party plugins checked against the dsh.bundle manifest in their package.json rather than by star count, with one-click install and a companion website.

Diagnoses third-party LLM API endpoints from the sidebar: a four-layer check (DNS/TCP/TLS, key and model, a real streaming conversation, then timed repeat runs) reporting time-to-first-token, output speed and success rate, with every failure attributed to the step it stalled at and the byte count that actually left the machine. 37 provider presets, no model names hardcoded.

Study workbench for exam prep and research: three-column task board with tags and filters, a spaced-repetition queue (simplified SM-2) that keeps finished cards coming back, a heatmap lit by actual focused minutes, weekly reports, per-day review notes, a pomodoro timer that survives panel switches, and Markdown export/import for Obsidian. Installable via dsh plugin add (dsh-study-desk on npm).

Runs one-time and recurring Agent tasks in fresh DSH sessions, with natural-language schedules, visual schedule editing and session-linked history. Supports custom models, skills, pause on failure, and permission settings.

Provides three learning skills for course notes, conceptual explanations, and self-contained lecture chapters, with bundled references and course helper scripts.

Browse, preview and install public Agent Skills from inside the DSH web GUI, aggregating five sources (claudeskills.info, skillsmp.com, the awesome-claude-skills repository list, the official anthropics/skills repo, and skill packs shipped by installed DSH plugins). Skills install pinned to a commit rather than a branch name, so what you previewed is what lands; the panel reports provenance, whole-tree update checks and a trash instead of deleting. Before writing anything it validates the skill name and frontmatter against the rules the harness silently enforces, lists files that SKILL.md references but the fetch did not bring, flags partial fetches, and offers overwrite, rename or skip when a name is taken.