Plugins

Read, message and live-follow local DeepSeek Harness sessions from inside an agent: four tools (session_list, session_read, session_send, session_chat) plus a matching Python CLI, over the desktop app local RPC; transcripts also read offline. Requires Python 3.10+; offline transcript reads also need the zstd CLI.

Registers a QwenWork (千问办公) model provider that reuses the desktop client's local sign-in, runs a loopback OpenAI-compatible bridge on 127.0.0.1, and translates DSH model requests into the ACP-style control-envelope conversation protocol the upstream actually speaks.

Registers the workbuddy model provider by mounting dsh-llm-workbuddy and supervises the local wb2api gateway, then bundles two protocol bridges onto that same gateway: Responses for OpenAI Codex CLI, and Anthropic Messages for Claude Code and Claude Desktop, which see the gateway models under generated claude-wb-… ids. Skips work that is already running or already registered, and reports each part through a status tool. Requires a local wb2api gateway and a WorkBuddy account.

Remembers the reasoning effort you explicitly chose for each provider and model and restores it when you switch back, without replacing DSH's own model picker.

DeepSeek balance and token usage panel for DSH, with official platform billing, a daily usage calendar, and local session-log estimates for all providers using editable per-model pricing.

Token spend panel for DeepSeek Harness: today and 7/30-day totals, natural month/quarter/year sums, cost split by cache-hit input, cache-miss input and output, per-model and per-session detail, daily and monthly budgets with a projected day-end spend, peak/off-peak pricing, CSV and JSON export, and a zero-dependency CLI report. Also prices GLM (Zhipu) and Kimi models shipped through third-party routes. Maintained fork of olimc2016/dsh-token-meter-panel (MIT, 0.6.7) with a rewritten panel; it uses its own row, route and slot ids, so it installs alongside the upstream entry rather than replacing it.

A read-only overview tab beside the conversation: what this round asked, what was observed, what still needs checking, and a bounded history you can step through round by round.

Puts a More row at the end of the sidebar main panel list and lets you decide, entry by entry, which panels stay visible and which move into it: a menu lists every entry with a one-click switch in either direction, a search box filters long lists, and a single Restore all clears both kinds of key. Also hides the footer action buttons, keeps the plugins entry un-collapsible, and writes each choice to the profile config so it survives a restart.

A Telegram bot plugin for DeepSeek Harness, with shared sessions, image input, and interactive agent conversations

Give your DeepSeek Harness agent an addressable visual memory: revisit any image, inspect any region, and read exact pixels.

Route implementation work from the main model to executor models and collect their reports.

DeepSeek Harness plugin: a Sourcetree-style Git workspace — branches, diff, history, fetch/pull/push, AI-written commit messages and AI-assisted conflict resolution, with pinned and usage-ordered repositories.

Multi-role group chat panel for DeepSeek Harness: join as one character, chat with 2-3 AI members, route replies by addressee with probabilistic bystanders, use @ handoffs, and keep private memory/relationships, a global character library, failure diagnostics, retry of failed replies, message search, a sticky scene note, paged long-history rendering, cross-tab sync, provider-catalog models, and JSON import/export.

A DSH companion with a macOS native pet and a Windows/Linux Electron companion. Shows the DSH account balance on the pet even when idle, plus color-coded task cards, progress and notices.

Control DeepSeek Harness from a phone via QR code: read chats, send messages, upload images, over LAN, IPv6, or a Cloudflare tunnel.

Detect and redact sensitive message text before sending it to models, with local regex, browser BERT, or ZeroClave API detection and manual review.

JetBrains-style Git workbench for DSH: hunk and line-level staging, side-by-side diff with word-level highlighting, commit graph and branch operations, three-way conflict merge, and commit messages drafted with the host model.

Sync DSH user-level assets (skills, plugin manifest, config, memory) across machines with one-click restore, automatic plugin reinstall and secret scanning.

Experimental Windows bridge for Codex to supervise DSH Desktop 0.2.1-rc.3 tasks through local MCP, with blocking direction questions, plan checkpoints, review and revision, and named workspace routing. A Windows adaptation of Cryocell77/dsh-desktop-mcp-bridge (MIT); it uses the same package name and loader row, so it cannot be enabled alongside upstream.

Progressive disclosure agent preset and call directory tool that starts from a minimal baseline and unlocks tools, skills, and MCP servers on demand.

Provides three skills for the Let's Build Robots SO-101 course: yanshifu reads the learner's project files to assess progress and suggest next steps; ask answers questions using four bundled guides; update checks for and installs updates to those guides.

DeepSeek Harness skill bundle for Hearts of Iron IV 1.19.3 modding: registers the hoi4-modding skill and ships 14 Python tools to scaffold, statically verify, install and debug mods - focus trees, events, decisions, ideas, characters, technologies, MIO, special projects, scripted GUI and topbar buttons, localisation, DDS icons, 18-slot tank designer layouts, 3D tank models, CJK font auditing and error.log triage - plus a 23-workshop-mod technique survey and a multi-agent playbook. Requires DSH >=0.2.0 <0.3.0; Pillow is only needed for DDS generation; no game assets are shipped.

Adds a terminology-aware correction pass to the built-in local speech-to-text: keeps DSH's own microphone and SenseVoice engine (audio never leaves the machine) and fixes homophones, domain terms and malformed numbers in the finished transcript.

Reads each reply aloud after rewriting it into spoken style: system TTS, Doubao speech synthesis, or an optional local Kokoro model.