Plugins

Generates game art from reference images via Seedream image generation and MiniMax image-to-video, assembling eight-direction sprites, sequence frames, and skeleton animations with local green-screen keying.

Connects WeChat, WeCom, DingTalk, Feishu, Lark, QQ, and Telegram to a local DeepSeek Harness agent, with each IM chat as a separate workspace channel.

DeepSeek Harness session and workspace manager —— Workspaces: archive and visibility. Sessions: move, migrate presets, delete, favorite, review later, prioritize, tag, and annotate. Batch operations.

Lets the AI insert streaming-generated UI into the conversation or a side panel, written in TSX — already one of the model's native languages, so there is no JSON schema to teach it. Rendered without flicker, state kept across frames with no hard remount, and a click in the card driving the next chat turn. Inline is where streaming matters most; the side Canvas is the more agentic shape. Cards get agentic capabilities of their own — run bash, curl, call the model, read and write files.

HuaweiCloud DevKit gives AI agents complete command of Huawei Cloud — build, deploy, operate, always governed, always secure.

Runs Midscene on the models already configured in DeepSeek Harness instead of separate third-party API keys: hosts an OpenAI-compatible bridge on 127.0.0.1 (default port 8787, automatically skipping occupied ports) that proxies chat completions, streaming and non-streaming, to the DSH host model layer, so DeepSeek official routing, CodeBuddy, Codex and custom OpenAI/Anthropic endpoints all become available to Midscene agents while credentials stay inside the provider plugins and the bridge never touches them. A `/v1/midscene-env` endpoint generates the four MIDSCENE_MODEL_* environment lines with the model family inferred, and seven built-in skills — browser, desktop, Android, iOS and HarmonyOS automation plus a Vitest E2E skill and a Midscene knowledge reference — appear in the session skill catalog without `npx skills add`. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-midscene`.

Integrates coding agent CLIs, persistent terminals and remote workspaces into the native DeepSeek Harness interface.

Daily RSS/Atom news digest for DSH: built-in channels plus a curated awesome-rsshub-routes catalog and custom feeds (validated on save), aggregated into one "今日值得读" Markdown digest each day and injected into the system prompt; Web GUI settings card and sidebar reader.

Lark/Feishu bot channel for DeepSeek Harness: each chat drives its own agent, and tool approvals, model questions, and plan reviews return as cards answered by a button or a reply. Switch workspace and model from the chat (`/cd`, `/model`, `/new`), and run several bots that keep separate sessions and can hand turns to each other in one group.

QA pipeline as 10 agent skills: requirement analysis, test strategy, case writing and review, E2E (Playwright) and API automation, exploratory, regression scope and bug analysis, backed by a shared knowledge base with format rules, risk model and schema validators.

Zotero as an evidence store for agents: search your library, inspect metadata and notes, retrieve evidence passages, open source PDFs, and generate citations and bibliographies.

Academic writing guard (EN/ZH bilingual): removes AI-style defensive writing, protects scientific evidence (numbers, citations, claim strength, null findings, scope) during polishing, and calibrates writing toward a target journal (Journal Profile + Journal Fit). Deterministic local regex/statistics, zero network/LLM; writing_rules / writing_audit / writing_style_profile / writing_journal_profile with auto-audit on paper writes.

Unified MCP, skill and expert management board for DeepSeek Harness: connection status, tool schemas, enable/disable and reconnect for MCP servers across global and per-project scopes, enable/disable of SKILL.md skills, attach/switch/detach WorkBuddy expert personas in any conversation at any time (429 experts) with no mid-session preset lock, a tool tailor that scans local session logs for per-tool call counts, error rates and context-token cost with one-click disabling, and three install markets (SkillHub 190k+ skills, WorkBuddy connectors, 47 verified built-in services).

Off-peak batch runner for DeepSeek Harness: users define tasks during busy hours — prompt, strategy, priority, workspace, locked files — and release them by hand; the plugin then runs the batch automatically inside user-defined off-peak windows. Each run passes five preflight checks (workspace, git HEAD, locked-file sha256, window fit, daily budget), supports four execution strategies (single / iterative / sampling / review) and three autonomy levels (L1 per-task, L2 batch, L3 full-auto), and closes the loop with a morning report containing diffs, actual spend and savings from a daily ledger aligned with official peak/valley pricing.

Multi-character Galgame conversation view with separate character and reply-model selection, per-character affection, memory, dialogue history, and CG galleries, plus responses informed by task events across Harness sessions.

Local-only project memory with zero bundled runtime dependencies or external services: JSON as the source of truth plus generated PROJECT_MEMORY.md, token-bounded session-frozen Hot Memory for prompt-prefix cache stability, cached cross-project BM25 recall, trusted session/turn provenance, explainable pre-write duplicate/conflict governance, editable importance/pin/tags/supersede/archive lifecycle, configurable top-level turn-end distillation, and a bilingual Web GUI for search, inspection, diagnostics, and live settings.

One settings panel managing MCP, skills, memory, subagents, prompts and sessions; customize scene combos to switch the whole environment; the Agent can also operate this plugin for you.

The marketing OS for AI agents — think like a marketer first, get tactics as the output.

One-command backup, restore & migration for all DSH user data (~/.dsh) with a visual Settings panel: scheduled auto-backup with tiered retention, sha256 verification, hardened restore with auto-rollback and a result receipt, typed sub-backups (--types), credential redaction into a local vault, private-repo GitHub sync for moving to a new machine, and an out-of-process rescue console (zero-dependency rescue web UI in the backup dir) that works even when the host won't boot. /backup doctor checks and repairs corrupt session logs from a known-good backup and quarantines them before rotation; migrate-check statically predicts which sessions a host upgrade would break (frozen event-list rules, filename/generation mismatch, hardlink support, legacy credentials); the credential sentinel preserves pre-migration copies before the host rewrites them; smart backup snapshots before host upgrades; /backup check-update and /backup update report and install new releases (snapshotting first). Restore handles attachment hard links and arbitrarily large archives (streamed listing). Current npm version 0.13.4; spans DSH 0.1.1-rc.2 through 0.2.0-rc.1, including 0.2.0's install-time peer gate. macOS/Linux/Windows.

Zero-cost access to 6 free large models. No registration, no recharge, 6 free models built-in, multi-key rotation and rate-limit backoff.

GitHub-style usage heatmap dashboard: per-workspace turn counts and token spend (with cache-hit rate), DeepSeek account balance, and workspace aliases.

Adds an optimize button beside the composer that analyzes and rewrites the prompt draft with SSE streaming, conversation-context awareness (template vs intent-polish strategies), an edit-continuity memory chain, undo, and model routing with fallback and a connectivity test.

Usage statistics settings panel: 26-week activity heatmap, daily token trend with a cache hit-rate curve, per-model donut and breakdown, time-range filters, summary cards, one-time historical backfill and lossless rebuild.

Browses Douyin in a dedicated browser with daily viewing limits, shared local persona and interests, native settings, diagnostics, usage tracking, and reports. Replies and shares use selected conversations; group replies require a mention or configured name. Public comments require separate opt-in.