Plugins

Adds Delete conversation and Batch delete to the sidebar session menu; a deleted conversation and its subagent sessions are moved to the Windows recycle bin, from where they can be restored.

Lists recent sessions across every workspace in one panel, with time grouping, two sort orders, content search, reveal-in-file-manager, and local notes that offer to insert themselves into the draft.

File-backed post office between DeepSeek Harness sessions: every letter is sealed with an HMAC and a body digest, recipients are resolved through a roster interface, and delivery is offline-first, so an undeliverable letter waits in the mailbox instead of being lost.

AI companion with a learned body clock, real offline sleep, its own memory, and self-reported affect delivered through the same judge math as the pi version.

Adds AMD Radeon Cloud as a model provider in DeepSeek Harness, with reasoning-effort levels declared per model. The provider definition ships in the plugin's own patch layer rather than in your profile.

Fills missing model parameters from models.dev, imports models from configured providers, and writes per-field overrides for built-in models, with prices in USD or native CNY set as manual rates or a reference price times a multiplier.

A Herta theme for DeepSeek Harness: an ASCII boot opening ported from the upstream Herta project, a violet palette of design tokens, swappable wallpapers (four bundled, plus image URL, local import, solid colour or off) and a "Herta Appearance" page in DSH settings. Doubles as the theme that dsh-herta ships with.

View DeepSeek API account balance and billing info in DSH, with a /deepseek-billing slash command.

Daily sending quotas and quiet hours for agent mailboxes: letters are counted in named buckets that each carry a per-day limit, the day boundary is configurable, and a quiet window tells the core to hold online letters rather than deliver them.

Rewrites drafts with one model call or predicts the next reply when empty; independent tasks, safe draft replacement, result previews, and original-text recovery.

Prompt optimizer for the composer: a button in the tool row rewrites your draft through a model channel you already configured, streaming into a panel that floats above the composer without taking up layout. Your draft changes only when you click Accept — and Accept is refused while the answer is still streaming, so a half-finished reply can never be written back. It asks first when the draft carries @ references or attachments, which a whole-draft replace would flatten into plain text. No global keyboard shortcuts, and no API key ever reaches the browser: the host half makes the call.

Sidebar panel for the announcement file and the ticket status table. It lists the announcements together with how many sessions have seen each one, shows the delivery status, and lets the user post, edit and delete entries. Requires the third-party dsh-better-sidebar plugin.

Displays account quotas, Git state, context usage, public API reference costs, Subagent activity, and streaming speed in DeepSeek Harness Web.

Adds a refresh button and a power menu (restart / close DeepSeek Harness) to the conversation header. Client-only, zero tokens, no dependencies. The power menu is Windows-only.

Right-side overlay panel for DSH sessions showing git status, background jobs, skills and MCP usage, artifacts and visited pages, with a commit/push dialog and one-click GitHub publish.

Dead-loop / repetition detector for DeepSeek Harness agents — hard-interrupts text loops and same-topic search retries that soft reminders miss.

Monitor the account balance for 3rd-party services those AI agents often use, such as Tavily, SerpAPI, Firecrawl, Bocha, Tinyfish, etc. Optionally you can select to inject the account balance into the system prompt, so the agent can use the services accordingly.

Project-level memory built around a ledger whose structure the AI designs per project; the plugin only handles detection, injection, write-back, archiving and git. Memories are split by meaning: the active ledger holds current state, the turn journal is append-only, and decisions, the goal tree and lessons are one-card-per-file (with a multi-dimension index over the card folders); the fundamental principles file can be changed only by the user. There is a single compaction mode: before compacting, the AI sorts the work into three buckets - what must stay in context and is re-injected verbatim, what is written to the project's _stash/ for later lookup, and what is dropped. When a conversation is opened in a container workspace holding several projects, it can be locked to one sub-project (the lock lives in the plugin's own home and survives restarts; it leaves no marker in your project). Also an activity log with five levels, where L4 stores the user's own words verbatim (never injected, queryable on demand). Before each compaction a verbatim capsule (user quotes, raw errors, changed files) is written to disk, and both the capsule and its source material survive a restart; a handoff document lets a new conversation resume the previous one. 21 tools, 12 subcommands, 39 settings (one of them switches whether the settings panel or each project's manifest wins). Runs locally, no runtime dependencies.

Browser provider for DeepSeek Harness: hand it a web task — open a page, click, type, fill a form, read what is on it — and it drives a real browser step by step, seeing an indexed table of what can be done on the current page instead of raw HTML or screenshots. Each step is one bundled-Jev decision rather than a full model turn (1.1 s median per step versus 2.8–3.6 s for chat-model turns in the repo benchmark), and the main conversation receives only the conclusion, so its context does not grow with the page. Targets come from the page it just read and a changed page is re-read rather than clicked blind, and it runs in the browser that Session owns, leaving your everyday Chrome untouched unless you switch to attach mode.

A research library panel and skill set for DSH: project folders, figures with registered provenance, drafts, references, data tables, journal profiles and submissions, plus writing, citation and Origin-plotting discipline for research agents.

Cross-session message forwarding between DSH sessions: extract one model reply, a user message, or a multi-selected batch of messages and images from one session and deliver it into another, with silent send, draft fill, or send-and-jump delivery, plus prompt templates.

OpenAI-compatible image generation for DeepSeek Harness — text-to-image, image editing and batch generation, rendered straight in the conversation.

Shows what each completed turn cost in CNY on its own row under the turn, with a click-to-open breakdown naming the tokens per category, the unit rate, the matched price rule and the billing instant; per-model rates are edited on a settings page inside DSH — four token categories plus weekly recurring peak/valley rules with arbitrary multipliers and absolute time-window promo prices that override them. 0.2.3 adds account awareness: it reads the balance or remaining quota of 14 providers (DeepSeek, OpenRouter, Zhipu GLM, Moonshot, MiniMax, Kimi Coding, OpenAI-compatible relays and more) and shows today / this month / this session spend next to it; spend is accumulated in a local ledger (atomic writes, one book per API key, 1-24 month retention, JSON export), and a monthly calendar lets any day be corrected by hand - including days with no balance observation - with an optional note. Usage and rates are computed locally from what the provider reported; balance is read straight from the provider API with your own key, and nothing is sent to a third party.

Puts the DSH web UI on a phone browser over your own tailnet, with the remote channel built on Tailscale Serve. Both sides need only Tailscale: no dedicated app, no QR code, no login page, no account of its own, and no relay of your content. The desktop half runs on macOS, Windows or Linux.