Plugins

Cross-harness agent memory for DSH: one plain-file store shared by the DSH and pi adapters and the harnmem CLI, so a memory written in one harness is available in another; injected as a byte-stable hot index, with five harnmem_* tools, session-end extraction, and a read-only memory browser panel.

Install it by asking DSH in one sentence, then it reads your local Codex CLI/Desktop chat history from ~/.codex/sessions and makes it usable inside DeepSeek Harness: a panel under the composer lists sessions with keyword and date filters and one-click import, the codex_history tool lets an agent list, read, search and summarize past conversations, a session whose working directory matches is injected automatically when a new agent starts, new Codex messages arrive as incremental updates in the running conversation, and a shared folder can mirror both Codex and DSH sessions across machines. Read-only — nothing is written back to Codex.

AI animated themes, computer control, standalone windows, attachment previews, Git management, session pop-outs and annotations, cross-app file drag-and-drop, and AI prompt suggestions. Computer control is enabled from the settings; on macOS it needs Screen Recording, Accessibility and Input Monitoring permission, Windows standalone windows need the Edge WebView2 runtime, and prompt suggestions and AI themes consume extra model usage.

Control plane for the harness's own Agent Teams: members are ordinary independent sessions created through the same seam the GUI uses, each with its own model, so they open and continue like any other conversation while a sidecar roster and task board coordinate them. Task entries carry a definition of done, a member's completion is submitted and waits for the Lead's review, and availability tells idle apart from awaiting-review or a failed last turn. With delegationEngine=auto it uses independent sessions, continuable subagents, or the kernel roster depending on what the composition provides.

Skips offscreen chat and trajectory rows so long sessions scroll smoothly; measured row heights keep the scrollbar steady, visible content unchanged.

Prompt optimization, next-sentence prediction, inline completion, and per-session draft stashing for the DSH input box.

Adds two buttons beside the sidebar toggle at the top-left of the DSH desktop UI, on macOS, Windows and Linux. Reload refreshes only the UI layer while a turn already generating keeps running; restart asks for one confirmation, quits the whole app and reopens it with sessions and workspaces intact. Restart is a POST that must carry a random per-boot token read from the plugin's status route. The plugin makes no network calls, reads no session content and has zero runtime dependencies.

DSH remote-development local plugin: host registry, SSH tunnels, remote workspace/session discovery, an authenticated Connection RPC surface, agent tools, and a Settings page.

Bridge DeepSeek Harness sessions to Cherry Studio desktops over the LAN - QR pairing, 15 cherry_* tools for agents, sessions, history and interactions (including uploading local files as attachments and reading desktop-uploaded images back as image blocks), a settings page for devices and per-workspace tool scope, and an experimental subagent that delegates the way DSH's own subagent does (Claude Code / Codex style) with the child running on a Cherry Studio agent.

Windows only. Autonomous news briefing on user absence or continuous schedule, illustration & anime gallery with tagging and QQ bot search, plus native OS desktop alerts for AI completions, delivered to DSH sessions or IM bots.

Git workbench in the DSH session header and overlay: view changes, commit, fetch, pull, push, and browse branches and history in existing local repositories.

A searchable, workspace-grouped multi-select panel over DSH conversations for batch delete, archive and pin, with Shift-range and Ctrl-add selection.

Lists archived sessions, previews their content, restores them to the original workspace, and adds an optional archive confirmation.

Continues work across coding agents inside DeepSeek Harness: six sessionflow_* tools query a local session index built by sessionFlow to find past work, show where the current project left off, and hand the goal, files and open items to the next agent. Requires the separate sessionFlow core, installed from its GitHub repo. Everything stays local — no cloud, no telemetry.

Requires the ZCode CLI installed and signed in. Relays the ZCode CLI agent into DeepSeek Harness as a model provider. A resident app-server session streams each turn, and the model catalogue is read from the CLI at runtime, so context windows, image support and provider routes follow the installed CLI and account. Stable 0.6.2 supports DSH 0.2.2-rc.1 and 0.2.2-rc.3, improves CLI discovery and includes optional Retry. Tool permission requests are denied by default; unknown approval or permission methods are always denied, and full-auto requires an explicit opt-in. DSH approval UI does not mediate this separately spawned app-server process, and the policy is not an OS sandbox. Derived from kyle123740/dsh-zcode-cli-proxy (AGPL-3.0); it registers the same `zcode-cli` provider id, so it cannot be installed alongside the original.

Brings the free models of a locally installed OpenCode CLI into DSH: starts or reuses a local opencode serve, discovers the live catalog and refreshes it every five minutes, and bridges the session event stream to OpenAI-compatible SSE through a loopback-only shim that validates Host and Origin.

Model settings panel for DeepSeek Harness: set the default model for new sessions, plus separate provider/model/reasoning-effort overrides for subagents and goal rounds, with live reload.

Claude Design System theme for DeepSeek Harness: warm-grey surfaces and a clay accent, refined composer, sidebar, code blocks and Markdown, localized edit/write cards with workspace-relative paths, and an ASCII ocean on the blank-session page with three whale colour modes.

Usage panel on the blank-session hero: sessions, messages, total tokens, active days, peak hour, favourite model and a contribution heatmap, over all time, 30 days or 7 days.

Learning Mode toggle in the input toolbar: injects a teaching prompt into the current session so the assistant introduces a topic, teaches it, tests it, and corrects mistakes, rendering graded quizzes through GenUI. Requires the GenUI plugin (@changfenhuang/dsh-genui); without it the teaching text still works but quizzes, sliders and charts degrade to plain text.

Desktop pet for DSH: 兰酱, an angel-winged maid in a transparent always-on-top window who reacts to session states (thinking, working, waiting, done, error), shows task progress and DeepSeek balance, and responds to drags, head pats, pokes and wing touches.

Long-term memory for DSH stored as plain Markdown. Real user/assistant exchanges are captured into daily session files without a model call; an LLM pass then distils them into memories that are injected into the system prompt each turn. Retrieval is local (CJK bigram + BM25) in three levels — index, summary, full text — so the model only pays for the detail it asks for. Memories carry priorities; P0 and user-written entries are never changed automatically, and forgetting marks an entry stale instead of deleting it, so the whole chain stays auditable in status.md. Six tools cover recall, write, status, extract, feedback and the skill library; when a cluster of memories is ready to become a skill, a card appears at the end of the turn, writes the SKILL.md on click, and installs it only after you approve. Learning is on by default and follows the conversation model; turning the master switch off stops the LLM entirely while capture keeps working. Failures are surfaced in the prompt and in status.md instead of being swallowed. Pure JavaScript, no third-party runtime dependencies beyond the harness packages.

Desktop notification and sound when a turn completes, the agent asks a question, or an approval is requested, each independently toggleable, plus an activity ball that lists live sessions and jumps back to one.

Runs one-time and recurring Agent tasks in fresh DSH sessions, with natural-language schedules, visual schedule editing and session-linked history. Supports custom models, skills, pause on failure, and permission settings.