Plugins

WeChat-style light theme with a dark icon rail, grey conversation list and green chat bubbles.

OpenCode Go quota in the sidebar foot under the workspace list: one cell for the most constrained window plus a hover popover with the rolling 5-hour, weekly and monthly percents, each with a usage bar, an elapsed-time marker, the remaining share and a reset countdown, refreshed every 60 seconds from OpenCode's official usage API using the key already in the DSH credential store.

Prices tokens with the official model price table, keeps the per-session and global running cost beside the composer context meter, mirrors your DeepSeek account balance in the sidebar, blocks a turn once this period passes your own global ceiling (clamped to that balance) or a per-session ceiling (each session sets its own, independently), and resets the billing baseline per session or globally — the two are independent, so resetting one never resets the other — so the period goes back to zero while history only rolls into the lifetime total.

Returns the caret to the session composer on Ctrl+I; the key is rebindable in Settings and works from any region of the desktop window.

Replaces the left sidebar session list with a tree of every session and its nested subagent descendants, with click-through to each conversation's multi-turn history and a tree_send tool for messaging any continuable session anywhere in the tree.

A pinned-sessions group in the sidebar, above the workspace list: every pinned session across all workspaces in one collapsible, searchable list, with click-to-open and a hover-revealed unpin button.

基于 DeepSeek Harness 的 GitHub 插件静态安全审查预设，该项目代码由ai生成，主要框架由我搭建，通过“侦察员+审计员”双 Agent 协作、通过实验性ai自测攻防。主要功能有防死机上下文裁剪，有效防御投毒与提示词注入。包含21条安全红线、依赖树连坐排查与自动 YAML 校验，这是一名20岁非科班大学生的AI安全探索，欢迎大佬指导。本项目不能代替人工审计。请勿在生产环境或敏感凭证环境中使用。

Archived-sessions page for DeepSeek Harness: per-row and batch deletion that clears the session log, the projection cache and the archive index together, with a 30-day recycle bin, subagent-aware refusals and a per-row disk footprint.

DeepSeek Harness bridge to a relay-hub station: TOIP dynamic-password onboarding, LAN discovery, and per-plugin log accounting

DeepSeek Harness (DSH) plugin — see your effort and token usage by date and workspace: calendar heatmap, time-of-day analysis, workspace share, and a shareable self-contained HTML report.

Token usage statistics for DeepSeek Harness with a session drawer and today / last-3-day / last-7-day panels, plus configurable charts and metrics.

Restores Host-persisted settings when dsh web is reached through a reverse proxy on a non-loopback hostname: marks the page connection as host-owning so the Settings and model pages load instead of reporting "settings are unavailable in this browser". For dsh 0.1.7 – 0.2.x.

Reverse-engineering workbench: bridges a local IDA Pro into DeepSeek Harness through @deepseek-ai/dsh-mcp-client, exposing the ida-pro-mcp toolset (decompile, xref, rename, comment) as mcp__ida__* tools. Auto-selects idalib headless mode (analyses a binary in-process, no IDA GUI) or GUI mode (connects to the IDA plugin RPC on port 13337). Adds re_check, re_open and re_status; the bundled MCP server is a zero-dependency stdio proxy usable from any MCP client.

One-click page refresh for the DSH Web UI: purges the rebuildable caches (Cache Storage, service workers, /plugins/** bundle bytes) and reloads the page, so a hot-injected client plugin appears without restarting the app.

API regression and acceptance workbench: snapshot the responses of the endpoints you register before the agent edits the backend, rerun them all after the edit, and review a structured field-level diff (status codes, added and removed fields, numeric old → new values with the delta) beside the captured source diff, accepting each endpoint one by one before exporting a Markdown or single-file HTML report.

Creates, activates, checks and removes external DSH plugins from a conversation through fixed tools; requires the external DSHX devkit.

Thesis and empirical-analysis workbench that drives IBM SPSS from the conversation: spss_check (environment self-check), spss_variables (list .sav variables with labels, types, measurement levels, case counts), spss_data (sample case rows to inspect missing and outlying values), spss_run / spss_run_file (execute SPSS syntax or an .sps file, relative CD and GET FILE paths auto-rebased), and spss_analyze (one-shot frequencies, descriptives, crosstabs with chi-square, t-tests, one-way ANOVA, correlation, linear regression). Results come back as structured tables extracted through OMS. SPSS 25-31 is auto-detected; the bundled MCP server is zero-dependency stdio.

Cross-workspace worker fleets: one orchestrating session spawns named worker sessions in other project workspaces, queues or steers tasks into them, watches them in the background via a real host job, and collects their reports. Worker completions deliver themselves to the orchestrator's session rather than needing to be polled, so an idle orchestrator still reacts. Escalations and failed workers deliver by steer when the orchestrator is mid-turn and by queue when it is idle; a turn that ends without a report counts as a failure and the worker is replaced after a configurable limit. The roster persists to disk and each worker session carries a durable title, so a restart neither loses the fleet nor spawns duplicate sessions. Ships five agent presets at full plugin parity with the standard preset.

Lets Codex delegate tasks to Desktop sessions through a local authenticated bridge and companion MCP server, with Workspace grouping, model and reasoning effort selection, event tracking, waiting, and cancellation.

MiMo voice for DeepSeek Harness — reads each finished answer aloud, turns composer dictation into text, and offers nine built-in voices plus a cloned-voice slot.

Displays generated images in a conversation gallery with a lightbox viewer.

Selection mode for HTML preview and browser tabs: click any element in a locally served demo page and its locator (selector, text, HTML snippet) is written into the chat input for precise AI editing.

Keenable web search and page fetch for the built-in web_search and web_fetch tools, working with any model and no API key.