Plugins

Free Egg credits panel for the DSH sidebar: WorkBuddy / Qoder account balances, daily budget, check-in state and per-turn spend (WorkBuddy credits priced per input / cache / output token type where rates are known), with one-click switching of the platform whose credits are spent first when new-api is configured. Requires a local WorkBuddy2API or Qoder gateway.

A Gemini kitten widget for the DSH Web UI: live Google Gemini API free-tier quota per model, a model switcher, color-coded warnings, drag-to-snap, and click-to-change lines.

Generate images and videos directly in chat and deliver them to the conversation: generate_image / generate_video / send_media tools, a built-in Agnes free tier plus any OpenAI-compatible backend, background jobs that auto-push finished media, and inline gallery and video cards with download, lightbox, and native open.

Gives pi-ai routed models a reasoning-effort ladder without manual settings: falls back declared to models.dev to a 7-tier default, and replaces the composer model chip with a Codex-style vertical picker.

SQLite-backed long-term memory for DeepSeek Harness: add, search, update and archive entries with categories and tags, automatic conversation logging, tiered compression, and a project dimension that scopes retrieval to the current workspace plus global facts.

Connects Qoder CN desktop app models to DeepSeek Harness with zero user interaction: decrypts local OSCrypt credentials, signs requests with the COSY scheme against the CN gateway, and lists 14 models with free-tier badges.

EchoCat Prettier：为 DSH AI 回复提供多风格排版、emoji、主题表情包与长回复性能保护。

Per-session LLM cost meter for the DeepSeek Harness Web UI: folds provider usage into uncached input / cache read / cache write / output per model and prices it against DeepSeek and Xiaomi MiMo pay-as-you-go rates (DeepSeek peak-idle tiering included).

Tavily-backed search provider for the DeepSeek Harness web seam (ctx.web): keyless-first credentials, a cooldown after the keyless tier refuses, and a user-visible notice when it falls back to the key.

Model usage panel for DeepSeek Harness: automatic per-call accounting from session logs with real timestamps, full history and live increments, showing tokens, cost, requests, trend and model composition with per-model, per-project and per-session views and editable tiered pricing.

Make DSH llm-pi-ai opencode routes pass Zen free-tier gate: opencode User-Agent + canonical ses_ session + bash/read tools. Scoped to opencode.ai only.

Tiered compaction hub: replaces the single 80% compaction cliff with a configurable ladder (default 30/50/70/90) whose tiers escalate from gentle to maximum consolidation laws, folds a deterministic keyword index into every checkpoint so facts accumulate across cycles, and summarizes through a model chain — primary plus up to 3 fallbacks, each with its own reasoning effort. Adds a Compaction module sub-tab and a Settings card; toggling off always restores stock compaction.

A CSS skin that restyles the reasoning-tier control drawn by hytime/dsh-thinking-effort into a blue-to-violet pill with a starfield and a sheen sweep, with matching light and dark palettes. Requires that plugin to be installed; it adds no UI of its own.

Automatic tier-based model routing for DeepSeek Harness: a virtual `smart` model classifies each request by difficulty (hard / normal / easy) and by vision need, then delegates it to the models you already configured. 三级难度 + 视觉自动路由，虚拟 smart 模型零配置接入。

Declares per-model reasoning-effort ladders for third-party providers in the llm-pi-ai settings section, so DSH's stock thinking-intensity selector works on models the pi-ai catalog does not describe.

Three-party collaboration protocol for dsh: Step List state machine, five-tier review chain (Gemini/web/Claude Code/dialog/manual), alternatives adjudication, cross-restart resume with heartbeat, and capability persistence.

Dual-endpoint Zhipu BigModel GLM provider catalog (Coding Plan and ordinary API) with live model discovery, live-tested thinking-tier mapping, and a settings card for keys, endpoints and the default reasoning tier.

A webfetch tool for full-text web/Toutiao articles: 3-tier strategy (direct fetch → resident Edge CDP headless browser → dump-dom fallback), with automatic Toutiao anti-bot challenge handling plus a bundled experience skill.

DeepSeek Harness (dsh) plugin that registers Lynkr — a self-hosted, multi-provider LLM tier-routing gateway — as a custom OpenAI-compatible provider in settings.yaml.

Tiered task queue as the single source of truth for DSH↔Hermes work (reset > approve > review): enqueue tools for all submission paths, lease/claim model with concurrency 1, priority aging against starvation, atomic busy mutex, and a Hermes-side consumer (cron */1 + monitor gating) that drains tasks, writes review-handoff requests with single-slot checks, and invokes the reset agent.

Floating card showing DeepSeek balance, peak/off-peak tier countdown, and remaining tasks estimated from historical per-task token usage and the current context.

Tiered compaction hub: replaces the single 80% compaction cliff with a configurable ladder (default 30/50/70/90) whose tiers escalate from gentle to maximum consolidation laws, folds a deterministic keyword index into every checkpoint so facts accumulate across cycles, and summarizes through a model chain — primary plus up to 3 fallbacks, each with its own reasoning effort. Adds a Compaction module sub-tab and a Settings card; toggling off always restores stock compaction.

Replaces the official Models settings page with provider lifecycle management, per-model reasoning effort tiers, retry overrides, drag reorder and upstream model sync.

Nous Portal free-tier provider for dsh: Portal OAuth (device-code) agent-key lifecycle behind an OpenAI-compatible harness route