Plugins

AFK controls for ask_user_question: profile-wide or per-session settings, configurable automatic replies or blocking new calls, and session-log question history with read tracking; does not approve permissions or plans. Supports DSH 0.2.1-rc.2 and 0.2.1-rc.3 only.

Ollama provider for language models and embeddings, with model discovery, loading, and unloading in DSH. Requires Firefox2100/dsh-ai-providers#runtime to be installed and enabled.

Alibaba Cloud DashScope provider for Qwen language models, embeddings, reranking, speech, and image generation through native APIs in DSH. Requires Firefox2100/dsh-ai-providers#runtime to be installed and enabled.

Code preview for dsh-better-sidebar with per-language syntax highlighting, symbol outline, in-file search, and selection-to-conversation.

DSH onboarding plugin: recommends plugins across eight domains ranked by weighted GitHub stars and npm monthly downloads, installs the recommended set in one click behind a reviewable plan, and exports or imports an environment code recording a profile's plugin list, exact versions and enabled flags.

Web GUI enhancement bundle: a standalone password gateway (optional HTTPS via your own certificate or a self-signed local CA) for LAN and remote access without `?token=`, PWA install with icon and app name, desktop and mobile Web Push notifications for task/approval events, and optional session-id request-header injection for third-party OpenAI-compatible routes, all configured from a settings page.

Registers system-prompt sections that make the model reason in Simplified or Traditional Chinese, with strict/prefer modes and an optional reply-language policy. Adds a /thinking-zh command for per-session switching. Zero runtime dependencies.

DeepSeek Harness plugin for rulemux: asks the local rulemux CLI for the rules rendered for this workspace (rulemux inject --agent dsh) and injects the output into the session at the first user turn, once per session. Nothing is written into the workspace for rules; skills are the only part that lands on disk.

Task-tiered session notifications for DSH: marked main-line sessions alert as they finish, other sessions batch into one summary, plus balanced and silent modes; per-event sounds or uploaded audio, per-session mute, click-through notifications, and an option to wait for subagents.

Recursive delegation for dsh agent trees: a preset plus Host limits bound what each subagent may do, subagents work in separate _agents/ workspaces, and the parent decides which results to integrate.

Runs a second agent: hands independent subtasks to a local Codex CLI in parallel (up to three at a time), and asks it to review a design or a plan before the user sees it, returning conclusion, evidence, counterexamples and a verification step. A dispatch missing its timeout or its acceptance check is rejected by the plugin, not by the model remembering to check.

Conversation search, checkpoints, context management, main and side chats, local long-term memory, tasks, and daily planning for DeepSeek Harness.

Saves architecture and validated plans, runs native AgentTeams workers with approval, parallel coding and independent review, and summarizes progress and verification results.

Dual-brain agent presets for DSH: one model plans the framework and delegates execution to a subagent pinned to a second model. Ships brain-ds (DeepSeek-V4.1-Flash plans, MiMo-V2.6-Flash executes) and brain-mimo (the reverse), switchable per session. Needs two providers configured (Xiaomi MiMo and a DeepSeek account), and the main brain must be selected manually.

Agent preset for DeepSeek Harness: the standard tool stack plus four working rules written into the persona prompt — a project keeps at most four documents (intro, decisions, change log, current state and next steps), those documents describe only the current state with no AI edit history or superseded decisions, no git commit or push or pull request until the user explicitly asks, and a careful-coding workflow (restate the goal and done-criteria first, surgical diffs, evidence before claiming success) with plain-language reports.

Competitive-informatics senior plugin for DeepSeek Harness: companion practice, three-version C++14 reference solutions, problem explanations, real g++ compile-and-judge (g++ required), and optional solution-record archiving to the ima notebook "信奥学长-题解复盘", for GESP / CSP-J/S / NOIP / NOI.

Adds a writing-plans skill that generates a structured implementation plan document before coding, then executes simple tasks inline or offers an execution choice for complex work.

Kill AI Slop for DSH — score a received document on three weighted axes (expression, execution, decision), audit work-slop with a delivery-obligation ledger, and machine-verify every quote against the source. Reads docx, pptx, xlsx, pdf, txt, md, csv, json and html. Zero runtime dependencies, zero network, fully local.

DocChain knowledge base, document conversion and knowledge-graph toolkit — filename, content and metadata search, locate-by-doc_id/name with content reading, topic listing, bulk document upload, document-to-Markdown conversion, image-similarity search, per-document image descriptions saved to a sidecar markdown (flowcharts and architecture diagrams are turned into PlantUML sketches, other images into text descriptions; the original image is replaced by a clickable link), a deep-research workflow, and a knowledge-graph layer (ontology inspection, read-only Cypher, ontology/entity/relation writes). Every script-backed capability also ships as a native DSH tool executed in-process: doc search, content search, filename search, topic info, metadata search, upload, image search, image describe, doc2markdown, plus kg schema / kg cypher / kg upsert node / kg upsert relation / kg delete node / kg delete relation. All graph operations go through the DocChain API, so no Neo4j password is needed. The configuration page keeps several docchain environments (each with its own address and credential), switches between them in one click, and pre-selects topics per environment. Needs a docchain service URL and API key (except doc2markdown); image descriptions additionally need an OpenAI-compatible multimodal endpoint (defaults to an internal gateway model, configurable).

Windows bash tool for DeepSeek Harness: replaces the preset pwsh with Git for Windows or MSYS2 (UCRT64/MINGW64/CLANG64/...) bash while keeping the official terminal contract — workdir, background jobs and timeout promotion, result markers, terminal cards — and adds a settings row that discovers and validates Git/MSYS2 installations.

Delete a DSH conversation from its sidebar menu or the conversation header, optionally cascading into that conversation's associated memory nodes when you tick the box (the confirmation dialog shows the hit count before you commit); deletes land in a plugin recycle bin with restore, every action is appended to an audit log, and batch deletes are rate-limited with per-conversation rollback.

LocalAI provider for language models, embeddings, reranking, speech, and image generation with LocalAI-specific controls in DSH. Requires Firefox2100/dsh-ai-providers#runtime to be installed and enabled.

Cohere provider for language models, embeddings, and reranking through Cohere's native APIs in DSH. Requires Firefox2100/dsh-ai-providers#runtime to be installed and enabled.

Anthropic provider using the native Messages API for language models in DSH. Requires Firefox2100/dsh-ai-providers#runtime to be installed and enabled.