Plugins

Causal memory for dsh: a zero-dependency MCP stdio bridge that mounts the 17 tools of the causal-memory server under clean names (no mcp__ prefix) — decision → outcome edges with typed relations (caused / enabled / prevented) in a local SQLite store that survives compaction — plus a pinned system-prompt section. Requires the causal-memory server binary on PATH (pip install causal-memory, or a prebuilt release).

Applies OpenQuantum branding, browser metadata, and PWA assets to the native DeepSeek Harness web UI.

DeepSeek Harness control center for official balance monitoring, per-session costs and tokens, third-party token totals, completion alerts, official recharge, flexible layouts, and agent-assisted session controls.

Read-only runtime management panel for the official DSH MCP client: connection status, registered tools, errors, and reconnect counts through the /mcp command and a Settings tab, with sanitized display and enable/disable patch suggestions.

Chinese government document processing toolkit: GB/T 9704 format check, auto-fix, content revision (red annotation + strikethrough), template generation, Markdown-to-docx, and document header/footer/page-number injection for 24 official document types.

Sidebar billing dashboard: real usage aggregated from session logs (per-model and per-day calls/tokens/cache), cost estimated in CNY from a current multi-provider pricing catalog, subscription-plan (coding/token/agent) routes exempt, and per-provider health dots.

Trace Compare & Live Maze: draw the agent's real exploration — main path, failed or dead-end detours, backtracks, and subagent branches — on one wall-clock timeline; upload 1–2 session logs for a same-axis compare, or watch it grow live in a session tab.

Use the dsh web UI on your dev machine from an Android or iOS phone, connected peer-to-peer across networks via iroh; no server to set up, with a relay fallback that only carries ciphertext.

Ecosystem infrastructure: a thin browser console for managing official repository plugins (zero patches) plus a make-dsh-plugin skill for guided plugin development.

Drive the Unity Editor from DSH through the official unity CLI: live-Editor scene commands, in-Editor C# eval and runtime command discovery over a warm unity shell session, plus a raw CLI escape hatch for project creation, tests and builds. Mounts Unity's official skill collection alongside its own Unity workflow and Asset Store skills.

DSH notification & remote-control plane: one `notify()` API across 28 outbound channels, six inbound control channels, phone approvals/questions/task control, a Native DSH Notify & Control UI, live outbound hot-apply, multi-agent routing, and zero runtime dependencies.

Ecosystem infrastructure: a thin browser console for managing official repository plugins (zero patches) plus a make-dsh-plugin skill for guided plugin development.

Catppuccin themes plus a toggleable glassmorphism skin for the DSH Web GUI: Latte, Frappé, Macchiato and Mocha registered into the native theme runtime, one-click switching with a persisted choice, and adjustable frosted glass for the top bar, sidebar, composer, stats line and trajectory view.

Engineering-discipline guard: requirements grill before the first edit, red/green test-evidence gates, forked adversary review, and a delivery report with a per-dimension verification workflow.

Bloom Morandi theme: ten variants (mist, cinnabar, petal, ripple, sage, stone, lapis, amber, aurora, lavender) built on OKLCH so light and dark stay perceptually even, switchable from the top bar, with all 20 foreground/background pairs measured at WCAG AA or better.

Native DeepSeek Harness (DSH) plugin integrating TypeSafe Jev as a System One decision layer for agent selection, supervision, corrections, and approvals.

The DSH plugin-development knowledge base as an on-demand agent skill: official constraints, task workflows, API reference and community gotchas, installed with the bundle so the agent can look things up while building a plugin.

Remote DeepSeek Harness with full server-side API access (`settings.*` / `credentials.*` / `host.listDirectory`). Token-gated reverse proxy, per-device sessions, phone invite QR, fence self-check, optional approval / CIDR / idle timeout / local TLS, WebSocket/SSE.

Host page for kit plugin configuration in the DSH Web GUI: registers a "Plugin configuration" section in Settings — peer to the built-in General section — through the official settings.section slot and declares a settings.kit.item child slot, which dsh-plugin-kit plugins render their own config cards into. Installing it alone shows an empty page; cards appear as slot-registering kit plugins are installed.

Design-fidelity QA for text-only models: a `deepseek_vision` tool borrows an eye from any OpenAI-compatible vision route, so the model can judge whether an implementation matches its mock — shipped with the benchmark behind that judgement (four fixtures, 23 injected defects, raw transcripts) and the questioning discipline it depends on.

lowtide: human-adjudicated off-peak batch task pipeline for dsh (peak/valley pricing aware)

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.

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.

Per-model reasoning-effort and input-modality configuration for third-party providers: suggestions fused from a model knowledge base and raw /models endpoint evidence with confidence labels, edited inside the official Models page card.