dsh-markdown-memory
Markdown folder long-term memory for DeepSeek Harness: one file per fact, an index line per memory, mounted into every request as a system prompt section
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Markdown folder long-term memory for DeepSeek Harness: one file per fact, an index line per memory, mounted into every request as a system prompt section
GitHub REST API tools for DeepSeek Harness: repositories, search, issues, pull requests, comments, account binding, and workspace integration, with a browser-side GitHub panel in the web GUI
DeepSeek Harness host bundle that implements slashx.request.v1 and slashx.response.v1
Turn DeepSeek Harness conversations into user-curated quiz questions.
DSH plugin: infinite exponential retries on LLM requests, capped at 10 minutes per wait
DeepSeek Harness plugin: Windows toast notification with sound when a session requests elevation approval — shows which session, why, and what is being elevated
AI auto-management channel for GitHub repositories - a DeepSeek Harness community plugin (bundle) that lets an agent manage repos, issues, pull requests, branches, files, labels, topics, tags, releases, and search through the GitHub REST API, with a Web settings card and a live master switch.
Long-term memory for stock DeepSeek Harness: key/value store with question-time recall, plus optional migration from official ChatGPT, Claude, Gemini, and DeepSeek exports.
Question index surface: an ordered, collapsible list of the user's asked questions floating on the right side of the conversation, with click-to-jump into the flow
Semantic long-term memory for DeepSeek Harness: embedding-based retrieval over a persistent cross-session memory store, with model-facing tools, proactive per-question recall, automatic conversation summarization, and auto-selected embedding provider (apiKey present → API, otherwise local).
Quote selected assistant text into your next request: a Host-side annotation service (session events + Typert Remote) plus a Web client plugin (quote button + pending-quote dock).
Machine-level cron jobs for DeepSeek Harness: configure scheduled tasks in the Web settings page; the host fires internally-driven agent requests into a dedicated session, hands-off.
Codex Pets–style desktop pets + live task panel for DeepSeek Harness Web UI: a draggable anime pixel pet plus a floating dashboard of running/completed tasks and questions awaiting your input. / DSH Web UI 桌宠 + 实时任务面板(进行中 / 已完成 / 等待你回答的提问)。
DSH plugin that auto-retries failed API requests — when third-party APIs return errors (rate limiting, service unavailable, etc.), intercepts and retries to keep the conversation going. Supports auto/manual mode with configurable status codes and error codes.
Readable thinking display for DeepSeek Harness: live per-paragraph summaries of the reasoning stream, rendered in the chat history where the 'Think' row is, with a user-chosen summary model (thinking disabled on summary requests).
Outbound LLM request header modification for DeepSeek Harness (DSH): client-identity header presets (Codex / Claude Code / opencode), per-request dynamic headers, X-Stainless fingerprint stripping, URL rewriting and Anthropic body patching at the fetch transport layer.
Auto-switch DeepSeek models for DeepSeek Harness: routes every model request to the vision model when images are present, to the pro model for complex tasks, and to the fast model otherwise; includes a switch_model tool for manual per-session overrides.
Autonomous (auto) mode permission classifier for DeepSeek Harness: a Claude-Code-auto-mode-like classifier over tools/pre-execute and approval/request, a selectable 'auto' permission preset, LLM semantic judge, git checkpointing, agent discipline guidance, and a web control page in Settings → Plugins.
DSH <-> Telegram bridge as a profile plugin: forward session activity, replies, and question/approval button flows to Telegram, with a persistent GUI card in 插件配置.
DSH Web 插件:在会话中列出我的问题并点击定位
Automatic model routing for DeepSeek Harness: a virtual `smart` model classifies every request by difficulty (hard / normal / easy) and by vision need, then delegates to the models you already configured in Settings → Models. 内置智能路由:三级难度 + 视觉自动路由,模型从「设置-模型」已配置模型中选取,虚拟 smart 模型零配置接入。
A DSH (DeepSeek Harness) bundle plugin that rewrites the ask_user_question tool description at prompt-assembly time with a fixed narrative-voice rule (default: the answerer narrates), toggled live via the /voice command.
HTTP network debugging toolset for DeepSeek Harness (dsh): a general-purpose HTTP client with SSRF/private-network protection, per-session request history with replay, response inspection, and a zero-dependency CLI.
Per-provider concurrency gate for DeepSeek Harness LLM requests