Plugins

Send "Memory unlocked" to let the AI recall conversations it has forgotten.

Three-layer memory for DeepSeek Harness — a small always-on core block plus on-demand topic files (profile, preferences, decisions, lessons), with source-annotated writes and supersede-not-overwrite history, so preferences and project constraints stop drifting between sessions. Local-first: no vector DB, no server, no outbound calls.

Memory that outlives the session, kept as plain daily log files: one markdown file per day plus a generated index the agent greps instead of re-reading. Registers the annals skill, injects the write-it-down rules into the system prompt, and exposes three tools — annals_init builds the log directory, the index generator and a separate Git repository in one call; annals_query full-text searches past entries and returns them with file and line anchors; annals_links resolves which entry cites which. Reminds the agent once per turn when it changed files but wrote no log that day, and once more when the log was updated but the index was not. Adds a settings page for the six switches.

Turns corrections into permanent rules: explicit remember: triggers and auto-detected corrections pass a confirm bar (save globally / per project / edit / skip) and are written into a marked AGENTS.md section. New rules take effect in the current session and load natively in future ones; writes are deduplicated and version-guarded, and secret-looking content is refused.

Long-term memory on top of mem0 and a local Chroma store: user profile and recalled facts injected through the system prompt, capture at session end, a nightly pass that dedupes, merges paraphrases and resolves contradictions, a persistent topic graph written as Markdown cards, periodic export to a git repository, and a full-page memory UI with search, bulk merge, snapshots and undo. Needs a manual Python venv setup plus LLM and embedding API keys before use.

Deletes a whole DSH session or one completed turn from the session log: confirmation dialog, live-agent teardown, path and identity checks, pre-rewrite backup, and later turns renumbered.

Adds a manual "mark as unread" action to workspace session rows, and retires itself once the harness exposes the same capability.

Lists the attachments the current session actually received through the WeChat bridge and adopts one into the workspace on demand.

Adds a Timestamp toggle to the composer; while it is on, each message you submit is followed by a hidden context message carrying the current local time, so the model knows when you sent it. The switch is remembered per conversation.

Collects the sessions that need you into one dock at the bottom of the web GUI sidebar: running sessions, sessions waiting on an approval, plan review or answer, and finished runs whose result has not been opened yet. Rows are sorted by last update and clicking one switches the main view to that session; it reuses the shipped useSessions and useSessionStatus hooks rather than adding a data source, polls nothing, stores nothing and modifies no session. The header dot pulses while anything is running or waiting and settles to a static dot when every row is only a finished-but-unread reminder; with no such sessions the dock collapses to one quiet line, and a collapsed 56px sidebar shows a 36px badge with the count instead of the list. It registers in the sidebar footer slot, so it is part of the layout and does not overlay the conversation list, leaving the existing footer entries below it.

dshBrutalDelete permanently deletes DSH sessions from disk — single-row or cross-workspace bulk delete, with Ctrl+A select-all and Delete shortcut, wiping transcripts, projection cache, workspace slots, attachments and subagent data. Irreversible.

Offline LAN chat inside DSH: direct chats, group chats and file transfer between machines running the harness on the same network, with UDP auto-discovery, CIDR scanning to add contacts, an optional access code (unset by default), local-only contact aliases, per-message and per-conversation deletion, and a configurable per-file limit. The host opens its own HTTP/WebSocket port for peers, and the plugin imports only node built-ins.

Official-style model + reasoning-effort control for the composer. Reuses the official picker and always offers Off/Low/High/Max — exactly like the official DeepSeek control — even when a gateway model declares no reasoning effort, with a small hint at the panel bottom when upstream does not natively support it.

Orihime golden-hour skin for DeepSeek Harness: a two-layer illustrated backdrop with a sidebar workshop for composition and sharpness, amber message bubbles and a cream letter-paper composer.

Stripe Style theme for the DeepSeek Harness Web UI: a 40px purple grid, layered soft shadows, 12px cards, an 8px control scale, and an in-settings theme row with Daylight Violet and Midnight Navy palettes plus one-click factory restore.

Imports wallpapers newly downloaded by the Hao Wallpaper app into the DSH wallpaper engine on startup, incrementally and idempotently. Requires the Hao Wallpaper app, Python 3.8+ and the dsh-plugin-wallpaper-engine plugin (elysia395/dsh-wallpaper-engine) installed first. Supports macOS and Windows.

Sidebar account-balance quick view for DeepSeek Harness: balance, bonus credit, current model and the official peak/off-peak pricing period, with ruby/amber/jade/gold tiers and a low-balance warning.

DeepSeek balance chip in the sidebar name row, showing the balance, the current peak or off-peak window, and a countdown to the next switch; click to refresh.

Per-model API price table with Peak and Off-Peak rates in USD or CNY, the DeepSeek account balance and live session spend under the composer, an all-time total, a collapsible source URL and check date per model, and optional per-model Peak schedules.

Pins your DeepSeek Harness account balance to the bottom-right corner and refreshes it every 60 seconds, with a click for an immediate lookup.

Shows the remaining DeepSeek account balance in the composer dock, right after the cache-hit reading, and links to the Platform usage page. Requires a signed-in DeepSeek account; API-key-only setups show nothing.

See what a conversation actually costs: how many model requests, how big the system prompt and tool table are, cumulative tokens, estimated spend, and how far you are from automatic context compaction. Reads the local session log only; never calls a model, never adds a word to the system prompt. Token and spend figures are estimates from character counts, not provider usage.

Adds a time-aware greeting line under the DSH home hero headline: seven local-time slots with tsundere whale-girl lines, phrase overrides through ~/.dsh/greeting.json, and Ctrl+R / F5 bound back to a real page reload.

Shows a character avatar and an editable ID beside every assistant reply, and reads the reply aloud with the system voice or a local TTS service you point it at; includes presets, a playback bar with pause and sentence skipping, tone and speed controls, and one-click launching of that service.