dsh-voice-suite
Speech suite for DeepSeek Harness: free edge-tts page announce, speech-to-text voice input (Bailian paraformer-realtime-v2) with Alt+Q hotkey, tap/hold modes, auto-send, and stop-playback-on-record
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Speech suite for DeepSeek Harness: free edge-tts page announce, speech-to-text voice input (Bailian paraformer-realtime-v2) with Alt+Q hotkey, tap/hold modes, auto-send, and stop-playback-on-record
DSH sidebar button to browse server disk folders (including hidden ones) with text and image preview.
Per-session Node REPL terminal in the DSH web UI: a session-local floating terminal (ghostty-web) bridged over WebSocket to an in-process node:repl that has the live agent Cordis Context (agent.ctx) in scope.
文本脱敏:把文本中的邮箱/手机号/身份证/银行卡/IP/密钥等敏感信息替换为掩码,分享前保护隐私
DeepSeek Harness 文字外观插件:分别调节「思考内容」与「正文」的字体、颜色(渐变色相条+颜色框)与字号,替代内置的文字外观设置。
Token-efficient project reading with symbol/import indexing, PageRank topology, and byte-level slicing for DSH
Lifecycle-safe Codex-style Session context actions for DeepSeek Harness.
DSH 通用图像生成插件:接入任意 OpenAI 兼容生图网关(自定义 baseUrl + 模型 + API Key),设置页可视化配置。工具 dsh_image_gen / dsh_image_gen_config + 命令 /dsh-image-gen + skill。
IDE ↔ Harness 双向桥: IDE 侧 POST /ide-bridge {text} → 浏览器输入框草稿追加; 聊天内 /open-in-rider 链接 → Rider 跳转到对应行(toast 提示); /ide-bridge/links-config 两级开关(AGENTS.md 指令块)。
Turn every idea into an image or video with Kling AI. In DeepSeek Harness, use natural language for text-to-image, image-to-image, text-to-video, image-to-video, reference-image creation, task tracking, and result previews.
DeepSeek Harness (dsh) Windows 环境防坑插件:两个防坑 skill(windows-enc/windows-sys:编码/转义/路径/进程/乱码预防规则)+ 三层主动防护(pwsh 结果乱码检测提示、危险写命令拦截、windows_encode_detect/fix 编码诊断修复工具)。零运行时依赖,零构建。
Record MCP once. Replay it safely inside DeepSeek Harness.
DSH 一体化记忆与上下文管控增强插件 — 四层记忆 + 上下文压缩 + 提示词编排
A resizable right-side document rail for the DeepSeek Harness web GUI: shows Markdown / plain-text files beside your conversation with light and deep-navy themes, drag-to-resize, recent-file history, and auto-sync while the file changes on disk.
Run every DeepSeek Harness task directly in the FlowText Agent UI
Probe local model servers (llama.cpp / Ollama) for the real runtime context window and keep llm-pi-ai's contextWindow in sync automatically — tighter before overflow, wider when the server grows. Zero-config profile plugin for DeepSeek Harness.
DeepSeek Harness plugin: plants a canary string in model-visible context and denies any tool argument or outbound URL that echoes it back
Keep native vision, drop historical images before they hit relay providers. Global DeepSeek Harness bundle for every agent.
DeepSeek Harness plugin: speak text with a local Kokoro TTS HTTP server and return the wav path, as the kokoro_tts tool. Ships no weights.
Idle-triggered context compaction for DeepSeek Harness: compact a session once it has gone quiet past a token floor
Fix the DeepSeek Harness Web GUI over plain HTTP on a LAN: injects a crypto.randomUUID polyfill (getRandomValues-backed) before dsh bundle code runs. No official source changes needed.
MCP client hub (stdio / Streamable HTTP / SSE) with skill, command, memory and prompt management for the DeepSeek Harness Web GUI
KoboldCpp for DeepSeek Harness - a tool plugin that lets the harness online model hand repetitive text and vision (OCR) labor to a local KoboldCpp (llama.cpp) server.
Structured context for DeepSeek Harness: split the conversation into typed sub-contexts (reasoning / tool calls / replies) and index them with a table of contents. 结构化 dsh 上下文:按类型拆分小上下文(思考/工具调用/正式回复),以结构化目录为索引。