Plugins

Render Markdown to a standalone, self-contained HTML page: an `md_html_render` tool that works in a headless profile, plus a web drawer to browse, preview, edit and export local `.md` files; both share one renderer, with no runtime dependencies.

A desktop pet for DSH: a blue whale girl with 104 animations and built-in voice. It is standalone, but its pet runtime is a rework of dsh-dafeiyu — disable the upstream dsh-dafeiyu before installing, or both will run and fight over the control port. Windows x64 only, and the first launch downloads about 580 MB of assets.

Simulated FX trading arena played against an algorithmic whale-chan opponent: a live canvas candlestick chart over five instruments (EUR/TOKEN, GBP/TOKEN, TOKEN/JPY, gold, and Whale/TOKEN, her own coin she never shorts), selectable leverage from 10x to 500x, and two modes — a timed mode with 90s to 500s rounds settled on equity, and an untimed goal mode that starts with $300,000 and ends when someone first reaches $20M or goes into debt (equity below zero, no maintenance margin). The match runs in a module-level engine, so switching to a conversation does not stop it or restart it. Margin and spread are modeled, prices are a local random walk with occasional news shocks, and nothing touches the network or real money.

Host-side dsh plugin that pairs a phone to a dsh instance through a self-hosted relay: one outbound connection carries the session list, streaming chat, approvals, attachments and file previews to a dedicated mobile web shell, and devices pair with a one-time QR link and can be revoked from a console inside the dsh web GUI.

Pairs a phone console with the current DSH Desktop conversation. Running /phone shows a one-time QR code; after pairing the phone can send messages, approve tool calls, switch models and stop the task, while the desktop stays the only execution host. Requires AgentBridge running locally.

File-based task pool and dispatcher for DeepSeek Harness: keeps a P0-P3 backlog as Markdown, hands one task at a time to a background subagent, gates delivery by rerunning the project test command, and accepts the result against a git commit or a file snapshot; git and non-git directories both work.

A five-stage engineering loop for agent-built projects — spec, build, verify, ship, learn — with one artifact and one gate per phase, so an agent always knows the single next action. Role policy, project templates and deployment sit behind explicit ports: swap the implementation without rewriting the loop. Its scaffold generator lays out the internal layers of a project — `init --layout {none,webapp,service,plugin} --stack {python,node,none}` — from nine layers sampled out of three unrelated production projects: entry docs, an OpenSpec plan face, a spec truth layer (INDEX, one file per domain, TESTING, CONSTITUTION), a wiki split into knowledge / progress / runbook, the six `.agents/` slots, server+web, scripts/deploy/config, tests+e2e and a gitignored out/. Non-none layouts also gate the directory contract and compile every source root. Ships a Python CLI (init/next/check/ship/new) plus a local command adapter and an SSH/systemd adapter with release directories, an atomic current/previous switch, a deploy lock, a commit-versioned JSON probe and automatic rollback on a failed probe; bootstrap and teardown provision and remove the unit and the reverse-proxy block idempotently and refuse to delete a root they did not create. Includes a runnable example workspace and a skill that keeps the agent on one phase at a time. Requires Python 3.10+ and PyYAML; remote deploys need SSH access, rsync, systemd and Caddy on the target.

Scheduled prompts that open a fresh conversation for every run, with cron, one-time and manual triggers, a per-task working directory, and run history kept out of the sidebar.

Declarative DAG runtime for DSH tool plans with bounded parallel execution, read-only retries, per-step checkpoints, cancellation, and conservative crash recovery.

Editable PowerPoint authoring workflow (a DSH-skill adaptation of icip-cas/PPTAgent) with concise Chinese business styling, HTML slide rendering and PPTX export review. Linux/WSL or macOS only; first use requires LibreOffice, Chinese fonts and a one-time setup step that installs Python/uv and Playwright Chromium.

Windows-only sidebar panel that watches the CPU and IO of your AI desktop apps' process trees and shuts the machine down once all of them have been idle for a configurable time, with a cancellable countdown, a dry-run mode and an activity log; requires Python 3.10+.

Layered memory for AI agents: five verbs (wake/work/pit/tomb/close), core layer read every time, archive on demand. Plain markdown, four pages created on first run; survives restarts, model swaps and plugin removal.

Runs Hindsight long-term memory on your own machine: after a one-time uvx --from hindsight-embed@latest hindsight-embed profile create server setup (~450 MB of Python dependencies) and with your own LLM key, the plugin manages the local memory server itself (health probe, start, stop, logs), registers ten hindsight_local_* tools for status, page search, page read, recall, remember and reflect, injects a knowledge-page index once per session, writes each finished turn back into the bank, and extracts facts with your own LLM key. Do not enable it alongside the official @vectorize-io/hindsight-coding-agents plugin: both read the same bank and would inject duplicate context. At session end it writes a handoff snapshot that the next session injects as previous progress. The data directory is configurable (dataDir) and scripts/relocate.mjs moves an existing install to another drive, creating directory junctions where the server hard-codes its paths.

Wall-clock session and turn timing for the DSH Web GUI: a timer chip in the session header shows the session total, every finished turn shows its own duration above the action row, and a sidebar panel totals today, the last 7 days, the last 30 days or all sessions. The numbers are folded from turn/start and turn/end in the session log, so paging, compaction and restarts do not change them.

Give your agent an external emotion state machine: several axes (0-100) that drift over time and move when you speak to it. Each turn the plugin injects which band you are in plus which tags you may use. The numbers belong to the plugin: the model reads them from the injected prompt and can change them only through the plugin's own emotion tools, never by asserting a mood.

Animal Island theme with boarding-pass masthead, cream notebook paper, 118 ThemeRuntime tokens, in-app appearance presets, and starry night mode.

Speaks the estimated spend of each turn aloud with an Alipay-style voice clip or a bundled meme voice; amounts come from dsh-cost-meter when installed, otherwise from per-model token prices. All audio is bundled, so nothing is fetched at runtime.

A countdown pill under the message composer showing how long is left before you clock off, with a workday progress bar; click it to set your own start and end times (saved in this browser), and after the end time it turns into an overtime timer.

Floating Pomodoro dial pinned to the bottom-right of the Harness UI: custom focus, short-break and long-break lengths, a long break that can be switched off entirely, a round counter, and five Web Audio-synthesized alarm sounds with preview, volume and ring duration. No audio assets and no network requests; timer state survives a reload.

ADHD-friendly focus soundscape docked under the DSH composer: five procedurally synthesised noise colours (white, pink, brown, rain, fan), a live-waveform orb, a 15-90 minute fade-out timer and a liquid-glass popover. No audio assets and no network requests.

Left-sidebar panel that browses the filesystem of the machine the Harness runs on: directory listings with sizes and modification times, text and image previews, file downloads, file uploads into the open directory, and folder creation. The panel speaks twelve languages. Reads and writes run with the privileges of the account that runs the Harness.

Shows elapsed time, tokens, tokens per second and a shrinking countdown estimate in the chat header for the running turn, and estimates output tokens, context size, cost and duration above the composer before you send.

System panel for DeepSeek Harness: machine, runtime, working repositories and Kubernetes cluster health

Counts how many times the microphone is stroked today and writes the number to a local JSON file for a desktop pet to read.