Plugins

WeChat login watchdog for DSH: surfaces dsh-wechat session loss as a Web UI banner instead of silently dropping queued messages. AI-generated, educational use only.

WeChat iLink ClawBot bridge: official Tencent iLink protocol, Web UI settings (QR login / model / preset / permissions / session management with delete), 24h auto-renewal pushes a fresh QR before expiry, zero downtime.

DeepSeek Harness settings-pro plugin: IM bridge (Telegram/WeChat), DeepSeek usage, cross-restart memory, desktop pets, and a vision bridge

WeCom (Enterprise WeChat) Smart Robot bridge: two-way chat over the aibot WebSocket gateway, no public endpoint needed.

Connects personal WeChat direct messages as a dsh-superagent Source, so private-chat text becomes a trigger for the orchestrator, accepted tasks run as work orders, and results are replied to the same chat; group and non-text messages are dropped. Only WeChat users on the superagent policy's allow-list are assessed; the list is empty by default, so every DM is ignored until you add your own ilink_user_id.

Drive DeepSeek Harness from WeChat: scan a QR code to sign in, send instructions in WeChat, and the agent reply lands back in the same chat window. Several agents can share one WeChat account, each with its own model, preset and context, switched from the chat with /use. Only the configured owner WeChat account can drive the agent; other senders are rejected by default and require explicit approval.

Blocks risky tool-call shapes before execution: inline multi-line Python, forwarded content without a source, missing source labels, and memory writes past the character cap. It also asks for confirmation before shell commands, and one rule is specific to the author's WeChat sending workflow.

Notes, to-dos and dated events kept as one JSON record per item in the local DSH profile and shared across conversations. Three tools list, create, update, complete and delete them, including adding and removing tags through conversation. A sidebar page groups events by day, remembers agenda navigation within the same Shanghai day, folds earlier unfinished events and lets you show completed events. An unfinished item with a due time raises an in-app reminder — including one missed while the app was not running. An optional WeChat push goes only to a target you have already saved, over the DSH-IM channel, and a successful send is recorded as the channel accepting it.

WeChat-style screenshot button in the DSH composer on Windows: freeze the screen, drag a region, and the crop lands in the current draft as an attachment; an eye switch hides the DSH window during the capture and restores it right after.

Add a mini-games box tab to the DSH right sidebar with Gomoku against an AI in three difficulties, a WeChat-style sky shooter and an underwater Flappy-whale game, with synthesized sounds and a victory celebration.

Write, illustrate and hand off WeChat and short-video content from one workbench, with per-image versions and draft push.

Read EPUB, PDF, DRM-free MOBI/AZW3 and TXT in the DSH sidebar. WeChat Read style typography with TOC, bookmarks, highlights and progress memory; select any passage to translate it into Chinese; the Ask-the-Book AI answers only from passages retrieved from the open book. Books and progress stay in local IndexedDB. Four themes including an eye-care green paper, and PDF paper follows the theme.

WeChat-style screenshot and annotation for the DSH composer, with a system-wide hotkey that captures without raising the DSH window. Windows only; on first use it compiles its helper executables from bundled C# source with the built-in csc.exe.

Six-step video-replica workbench: fetches a Douyin/Xiaohongshu/WeChat Channels/Kuaishou/Bilibili share link or a local file, breaks the source into shots with a vision model and optional ASR, writes three A/B/C storyboards, generates a first frame and a clip per shot, then stitches the final video with optional TTS narration, burned-in ASS subtitles and BGM. Needs Node 22.18+/24.11+, ffmpeg and ffprobe on PATH, and configured vision/chat/image/video model endpoints; share links go through a third-party parser service (or yt-dlp), or upload a local file.

Turns your local WeChat group chats into a followable todo board: a three-column kanban (todo / doing / needs you) with LLM summaries, automatic flagging of messages that @-mention or reply to you, drag-to-change status, and local-only storage. Needs a local Python 3 with sqlcipher3 and zstandard, plus the existing rion-wechat-reader config.json and keys.json for the WeChat databases; the plugin does not extract the keys itself, and summaries send the quoted chat text to the model you choose.

Multi-character companions with optional personas, editable per-character memories, persistent chat bindings, and QQ and WeChat bot connections with QR login and refresh. QQ requires a separately installed local NapCat instance; WeChat uses the official ClawBot/iLink channel.

General-purpose chat agent on a parent agent + worker sub-agent split, for DSH Desktop only: a sidebar row opens each assistant's long-running conversation, where the parent chats, records schedule, lists, memos, logs, profile, persona and projects as plain files in that assistant's workspace folder, and hands other work to background workers through the bundled complete-subagent, picking each worker's model from the ones you enable and approving their write access. A heartbeat wakes it for reminders, a daily brief and wake-ups it sets itself, and holds back during quiet hours. Through the bundled im-robot it chats over WeChat: the model decides per reply with im_route whether the reply also goes to WeChat, and images and files sent from WeChat appear in the conversation and stay in the workspace's IM/WeChat folder for a set number of days. Its tools never appear in normal sessions.

Blinks the Windows notification-area icon the way QQ and WeChat do for an unread message — the app's own icon alternating with a fully transparent frame — and flashes the taskbar button, when a turn finishes or a session waits for an approval or an answer.

Signs in to ima.qq.com (Tencent IMA) with a WeChat QR code and runs a localhost OpenAI-compatible relay in front of its SSE chat endpoint, so the four models behind it appear in the picker.

Windows WeChat 4.x chat export toolchain shipped as a skill: discovers SQLCipher shards, decrypts, exports and merges them; conversion, stats, AI relationship analysis and HTML reporting delegate to the locally installed she-love-me skill. Requires Python 3.9+ for the analysis stages.

Bundles the PrismSearch MCP server and its agent skill. Web search over Bing and Baidu with no account or API key, plus Google and Brave when API keys are set and DuckDuckGo, Sogou, 360 and Yandex when enabled in config; automatic engine fallback and an aggregate mode. Also image search, WeChat Official Account article search, and fetch_page, which returns web pages and PDFs as Markdown in segments.

LibTV canvas and media tools for DeepSeek Harness, with three director skills bundled and one-time WeChat QR authorization.

DailyBoard — a daily work task board for the DSH Web GUI with a one-month calendar of colored timeline bars and day tasks, a daily checklist, a seven-day week view with completion checkboxes and drag-to-reschedule, a draggable 24-hour day timeline, ordered per-day subtasks, weekly and every-N-days recurring tasks with per-occurrence result records, a long-term progress view opened from the calendar header, per-day completion for long-term tasks, tasks that can be marked “For others” by choosing one of the added recipients (shown as note + email), a collapsible daily email reminder that can be pushed to WeChat and can remind other people such as partners or relatives (each extra recipient has an email, a note and its own send time), and AI task extraction from natural language with smart date parsing: a single date such as “today” becomes a day task, “this week/month” starts from today unless the text says the work already happened, and pressing Enter in the input box extracts immediately.

Signs in to LightVela by WeChat QR code, reads the model gateway key from your own instance and writes the gateway into llm-pi-ai so its models appear in the picker.