dsh-voice:语音输入转用户消息,回复可朗读

DSH 插件 `dsh-voice` 旨在通过语音交互提升终端智能体效率,实现语音转文字、文字转语音及离开式朗读。该插件遵循“本地优先”理念,音频文件默认存储于本机,不自动录音或上传云端,除非用户显式配置 OpenAI 或 Edge-TTS 等云端后端。其核心功能包括:`transcribe` 支持从文件转写或麦克风实时录制,结果以语音卡片形式插入会话;`speak` 在后台合成并播放文本,适合长任务状态播报;`/voice` 命令用于切换会话级自动朗读回复(默认关闭)。插件兼容 Node.js >=20,支持 Whisper-local、macOS、Say 等本地后端,并可与 `dsh-cr

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DSH-Failure-Capsule: A Local Failure Evidence Bundle Plugin for DSH

`dsh-failure-capsule` is a local failure evidence-package plugin for DeepSeek Harness, maintained by YiHarvest under the MIT license. It addresses the challenge of diagnosing complex failures in DSH scenarios by automatically collecting relevant signals and generating a sanitized ZIP evidence package when errors occur during tool invocation, turn completion, or Agent runtime. The plugin adheres to a local-first principle, with no data upload or remote diagnostics involved. Its core features include: capturing various failure events (e.g., `tool/result` errors, `turn/end` interruptions); default sanitization of credentials, keys, private keys, and sensitive paths; and collecting Git status, runtime information, plugin manifests, and a bounded Session Event timeline (defaulting to a maximum of 80 entries).

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hanai-investment-dsh: A Local-First A-Share Research Workbench Powered by DeepSeek Harness

`hanai-investment-dsh` is a local-first A-share research workbench plugin built on DeepSeek Harness (DSH). It integrates market panorama, custom stock groups, individual stock K-line analysis, valuation display, expert dialogues, and research report generation, aiming to provide a complete research loop from observation, discussion, to verification. Core features include monitoring six major indices and sector heatmaps, customizable stock watchlists, forward-adjusted K-lines with turning point markers, five-dimensional valuation radar, open dialogues among five experts (including an AI-simulated perspective), and Agent-based retrieval verification to generate archivable Markdown research reports. This tool emphasizes evidence chains and context, clearly distinguishing between price-volume hints and trading signals. All backtest data serves solely as historical retrospective evidence, with no promises of returns. It is designed for developers and investors conducting systematic A-share research within the DSH environment.

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dsh-explain: Transforming DSH Work Sessions into a Local-First Learning Cycle

dsh-explain is a DSH learning mode plugin maintained by yuezengwu, compatible with DSH 0.1.0-rc.8. It extracts concepts from completed work sessions, generates structured learning cards, writes to cross-session global learning threads, and tracks learning progress via ExplainContext. The main agent remains unaffected, with data prioritized for local storage in SQLite. It supports manual /explain, selected text explanation, learning from responses, and automatic evaluation, while providing a diagnostic settings interface and context compression.

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Jingling (dsh-jingling): A Local-First DSH Companion Plugin

Jingling is a DSH companion plugin maintained by Yi-111-a, designed for DSH 0.1.0-rc.6, with the current version dsh-jingling@0.1.0-alpha.19. She offers reviewable memories, Character Card V2 import, a web companion panel, and an optional Windows transparent desktop pet sidecar; she does not possess Shell, file system, network, or MCP permissions, and actual operations require switching back to the standard session. Installation is supported via one-click install-all.ps1, npm installation, or manual source packaging.

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Integrating a Local-First Long-Form Novel Workbench into DeepSeek Harness with AI-Novel-Writer

AI-Novel-Writer, maintained by EthanYoQ, is a local-first AI novel writing workspace. On the desktop side, long-form assets are organized into five categories: premise, characters, blueprints, drafts and reviews. There is also a development preview of `@ethanyoq/dsh-ai-novel-writer 0.1.0` in the repository, which connects the five types of assets to the DeepSeek Harness Web novel writing workspace, with writing processes going through single-file native approval. The GitHub directory page for the project is github:EthanYoQ/AI-Novel-Writer, where the installation instructions conflict with the repository description: the root package is a GPL-3.0 licensed desktop application, while the activatable DSH bundle is located in the plugin subdirectory (licensed under MIT) and does not read desktop `.vela` projects.

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