@anionex/dsh-suggested-replies
DSH Web plugin that proposes concise next user messages above the composer and inserts a selected reply into the draft without sending it.
238 results
DSH Web plugin that proposes concise next user messages above the composer and inserts a selected reply into the draft without sending it.
Better DSH: archived-session management, task-stop desktop notifications, an update checker, model routing (keyword rules + allowlist-gated model_route), multi-task scheduled triggers (interval heartbeats & fixed-time tasks), and a DeepSeek-style message scroll nav for the dsh web GUI
DeepSeek Harness plugin: auto-repairs an invalid messages array (orphaned tool_calls / tool messages) to stop 400 INVALID_REQUEST session lock-ups.
OpenCode Go models, mixed Completions/Responses/Messages chat, and subscription usage for DeepSeek Harness
Conversation indicator for the DeepSeek Harness web GUI: clickable markers along the transcript scrollbar that jump to the corresponding message or turn.
Automatic ghost-text next-message suggestions for DeepSeek Harness, with direct-fill manual generation.
DSH User Message Timeline - 对话内悬浮药丸导轨,支持预览、跳转、拖拽与分页
Inline annotations for DeepSeek Harness Session messages, submitted through the official composer
chat.deepseek.com-style attachments for DeepSeek Harness: official upload icon, DS-style file cards (240x64, 16px radius), drag-drop, text extraction (PDF/DOCX/XLSX/TXT) injected into the message
Unified local plugin: session identity, global prompt, auto-resume, web restart, session log reposition, peer message (6 plugins consolidated).
Text-to-speech (TTS) plugin for DeepSeek Harness — Fish Audio API only, bring your own key. Per-message read-aloud, auto-read toggle in the composer, settings for model / voice / encrypted API key / proxy. Third-party, not affiliated with Fish Audio.
dsh-voice — voice notes in, spoken answers out: dictate audio that becomes user messages (transcribe), have the agent read replies aloud (speak), and leave walk-away narration on long headless runs. Local-first, plain audio files under ~/.dsh/voice/
DSH bundle plugin: bridge WeChat (ilink bot) messages into a DSH agent session, with runtime enable/disable hot-plug and a Settings UI tab.
Agent-driven long-term memory for DeepSeek Harness: scoped memory (global + per-workspace), layered entries (fact/knowledge/episodic), time-bucket compaction (day→week→month→year), associative recall (related chains) + memory_relate navigation (multi-hop BFS closure), auto recall injection on user messages (CJK bigram search, tail append), agent-decided content.
Copy dsh assistant output as Markdown, preserving links, LaTeX sources and code fences.
Let the model render an image into the DSH web chat flow (QQ/WeChat style) via a show_image tool: the message content keeps only the path text, the image never enters model context, and the browser shows the picture inline, scrollable with history.
DSH context console with trajectory, prompt/skill/MCP/tool inventory, message forging, and conservative session-log recovery.
Multi-channel message bridge for DeepSeek Harness (DSH): route WeChat (ClawBot/iLink), QQ, and Feishu (Lark) chat messages to a DSH agent and relay its replies back. 多通道桥接:微信 ClawBot / QQ / 飞书消息接入 DSH agent 并回传回复。
DeepSeek Harness plugin: join ACN so this agent can discover, message, and collaborate with other agents. Defaults to the China region.
DSH Web selection-annotation plugin: select assistant text, annotate (optional), and press Enter to send the annotation block with your message — the model replies to each annotation by number, with hoverable chips in the reply.
Collapse very long composer drafts into a summary card without changing DSH message submission.
Selection quoting for the dsh web GUI: a toolbar over selected assistant text that attaches the selection to the composer as a removable quote banner, prepended to the outgoing message at send
Feishu/Lark bot bridge for DeepSeek Harness: bind a web-created session to a Feishu chat, messages flow both ways
把微信、飞书、QQ、企业微信和钉钉统一接入 DeepSeek Harness,并提供共享提示词、记忆与会话能力。