Plugins

DeepSeek Harness session stats dashboard: token usage, cost, composition, ranking and runtime health.

Todo plugin that records when each task is created and completed, with table, kanban, gantt and calendar views over the same data, categories, priority and type, @workspace-file links, JSON/CSV import and export, and a todo_time_log agent tool with /todo commands.

Shows per-turn and session costs, provider/model breakdowns, subscription usage and the signed-in DeepSeek account balance in the sidebar.

按会话统计 token 与金额：输入框下方显示当前会话花费，设置页列出每个会话的花费（含历史会话）。

Structural long-term memory for DSH: supersede, decay and entity-state tracking across 15 MCP tools, automatic recall and capture hooks, and a bounded pointer index published per request instead of filling the window. Requires Python 3.10+ with torch and sentence-transformers; the first run downloads a ~470 MB embedding model.

Two-way Telegram remote cockpit for DeepSeek Harness: live progress tracking, screenshot vision, git diffs, shell execution, and tool approvals. Unconfigured chatId automatically claims the first sender as owner; voice-to-text requires local ffmpeg and BeeRouter services.

A Genshin Impact Hu Tao (Wangsheng Funeral Parlor) skin for the dsh web GUI - a 14-token ink-black, crimson and amber palette, falling plum petals and spirit butterflies, a plum-blossom brand mark, and a floating petal toggle that tracks the sidebar.

DeepSeek Harness plugin that keeps the agent's green claims honest: verification runs become receipts, edits are tracked, and a stale, failed or masked "all tests pass" is turned into a rerun instead of an ending.

Fills in what the official pi-ai adapter leaves out on the Models page: gateway reachability probing with latency, one-click pull of the gateway model catalog with checkbox write-back into settings, DeepSeek balance and provider quota shown in place, the protocol and endpoint each provider is actually wired to, and a model dropdown that lists only what works right now — a dead key, an empty balance or an exhausted quota is hidden until you fix it, and comes back on its own.

Session progress tracking for DeepSeek Harness, without digging through the logs: the agent keeps a live nested checklist of the work — from a whole phase down to a single step — and every item carries a weight, so the ring and the % pill in the composer dock row always match reality. Hover it for the current activity, or open the Session Progress tab in the native right sidebar for the goal, the weighted checklist with per-item shares, the next steps and the working notes; when the session ends, the same checklist stands as a clean record of what got done.

Spritely — a floating work-state mascot for the dsh web UI: it animates with the agent's live activity, tracks the cursor, and offers switchable characters, draggable placement, and customizable backgrounds.

VSCode-style uncommitted-changes sidebar docked to the right of the DSH web conversation page: staged / unstaged / untracked file groups, status badges, per-file +/− line counts, click-to-expand diff, rename as old → new, untracked content preview, and open with the system default application.

Sub-agent matrix swarm that routes heterogeneous tasks to the most suitable model from an OpenRouter-like gateway plus cfgpu.com/llm/square, dispatches each via in-process subagents or direct LLM calls, and tracks per-model token consumption with a feedback-driven ranking.

DeepSeek Harness (dsh) 插件：/cost 查看每个会话花费 + 可拖拽的悬浮费用胶囊

DeepSeek Harness (DSH) plugin: live conversation cost and DeepSeek account balance in the composer stats row — RMB in Chinese UI, USD in English UI

Token cost tracker for DeepSeek Harness -- track usage, calculate costs, budget warnings

Remake a viral short video end to end in one workbench: source clip, character sheet behind a human approval gate before any paid render, AI face swap, frame-sample QA and the final cut, plus a media library, a three-track timeline, and any RunningHub workflow connected by its ID.

DSH Agentrix supports coordinator-led direct or delegated work, configured worker models, dispatch-time coordinator models for independent review, progress and request usage tracking, registered requirements linked to verification evidence, and a read-only acceptance view that distinguishes plan completion from request coverage. Verified only on Windows with PowerShell 7 (pwsh) and Git; other systems are untested.

Estimates what each conversation costs, with built-in official prices from 16 vendors (DeepSeek peak/off-peak hours and long-context tiers included), a breakdown panel with a currency picker under the composer, and each conversation's cost in the sidebar.

Registers a read-only tool that lets a parent agent read what each subagent is actually doing, not just whether it is running: the progress notes the child wrote itself, oldest first, paged backwards by seq, plus how many steps passed since the last look, and a quiet count when five or more steps go by with no new note.

Sidebar leaderboard for DeepSeek Harness (DSH): LMArena blind-test ratings, Artificial Analysis intelligence index, LiveBench 2.0 capability, OpenRouter weekly/monthly usage and market share, price, speed and context — plus a local token-usage dashboard built from your own session logs (tokens, estimated cost, per-model ranking), model detail drawers and CSV export. Daily snapshot, instant open, no API key; locally configured models are highlighted.

Tracks an AI companion’s emotion and personality with a status panel, update tools, and chat stickers.

Git tab in the DSH web UI right sidebar for the current session repository — switches branches from a dropdown of local and remote branches (with ahead/behind counts), stages files in staged/unstaged/untracked/conflicted groups, commits, fetches, pulls and pushes with automatic upstream setup, drafts a Conventional Commits message from the staged diff with the default model and falls back to a plain chore message when none is available, and renders git log --graph with per-branch colors plus a word-level highlighted diff.

多模型圆桌辩论插件：让 DSH 里已配置的多个 AI 带着各自人设围绕同一话题多轮互喷，共享上下文，裁判按六维（攻击性/逻辑/人设还原度/趣味度/策略/深度）加权打分，性价比另用 dsh-cost-meter 真实账本单列，输出 Markdown 战报与 docx。Multi-model roundtable debate plugin for DeepSeek Harness.