Plugins

Tencent CloudBase backend for DeepSeek Harness — scaffold and deploy full-stack apps from chat, render query results as table cards with paging, sorting and CSV export, preview a deployment on its domain, and call the CloudBase MCP toolset (`mcp__cloudbase__*`) with device-code login.

Provides read-only tools for querying authorized WeLink conversations by date or keyword.

Knowledge base for DeepSeek Harness: assembles ContextWindow evidence at query time within heading boundaries and token budgets, with follow-up reading around each search anchor; combines BM25/vector search via weighted RRF, MMR and optional local/remote reranking; provides automatic evidence injection, a browser panel for local embedding/rerank/OCR model downloads and health checks, keyword search without model downloads, and in-place rescans of imported directories.

Log query card for the DSH Web GUI over Elasticsearch / OpenSearch: one query surface with per-dialect query strings and clickable examples, field-name completion, filter chips, a time histogram whose bars zoom into that window, field facets that turn a bucket into a filter, and a result list with level colors, stack-continuation rows, columns and paging; Docker container logs are a collection source that reuses the docker plugin. Ships five read-only loglens_* tools (sources / search / fields / facets / context) sharing the same execution layer as the panel. Outbound requests only reach configured sources, judged on the resolved IP, without following redirects and with size and timeout caps.

Full-text global search for the DSH Web GUI: a sidebar search box that searches history sessions (via the sessionQuery index, with a per-session scan fallback) and settings panels, highlights matches, and jumps to the matching session or settings card.

Shared multi-agent task board (create/claim/transition/query) over a Cordis service key.

A personal usage profile page in the DSH sidebar, folded from this machine's own session logs through ctx.sessionQuery. Five headline numbers (tokens with a small trend and the change against the previous period, spend, longest task, the active-day streak with your best, today's cache hit rate), a 12-month activity grid in daily / weekly / running-total views, a model-family chart by day, week or month as stacked columns or a share pie (version and tier stay apart, and vendor-specific ids collapse correctly), a token-stats ring chart of where the tokens went (system prompt, tool definitions, user messages, injected context, skills, tool calls, reasoning, answers), tokens and spend per project with the subagent share, and a per-provider split with each route's own hit rate and spend. A range switch in the header (today, this week, this month, all time or custom dates) drives the token and spend numbers, the token stats, the projects and the providers, and the selected range exports as CSV or JSON. Spend is priced at bundled list prices (peak and off-peak hours for DeepSeek direct); each provider can be set to list price, a discount, a monthly plan or not counted, stored only on this machine. The only outbound request is a six-hourly read of this package's own version from npm for the in-panel update button - no telemetry, no credentials, nothing uploaded.

Reference logged-in Chrome/Edge tabs, authorized local HTML and running Windows apps through a searchable native sidebar or @. Open browser candidates and the webpage sidebar refresh when the extension connects, disconnects or changes tabs, including an unchanged search query. Windows application lists skip protected processes with unreadable identity metadata and preserve other running apps. Read scoped snapshots, batch actions, capture screenshots and use available WebMCP tools; supports authorized uploads, drag/drop and opt-in network metadata. Browser actions preserve failure evidence, accept an explicit post-action observation scope and can check one final visible/text/value/URL condition without replaying effects. Expandable context preserves model content; dockable annotations support a session-bound staging queue with edit/delete/restore, and append to chat drafts without sending. App control prefers a matching installed MCP or approved installation, then Cua Driver with text, hotkeys and paged controls; desktop reads present the window once per connection or when recovery is needed. Background input depends on the app. Requires Chrome or Edge 125+ with the companion MV3 extension manually loaded and paired; installing the plugin does not install the extension.

Puts the Markdown documents, source files, images and video that already exist anywhere in the session workspace into the DSH sidebar, ranked by relevance to the current conversation. The default lexical mode matches your recent messages against title, summary and body locally with IDF weighting (BM25) — no model calls, no network, nothing leaves the machine. The list comes from scanning the workspace rather than from a recent-files list, so restarting DSH or opening a new session does not empty it. Results are organised into a three-tier reading order (primary / supporting / related) with a verifiable reason on every row — which field matched, which document cites this one — and one click opens an in-place preview: Markdown as rendered text, relative-path images actually drawn, source code with the host's own syntax highlighting, video streamed over HTTP Range. The same Context Pack is exposed to the agent as a knit_docs tool. Later versions added read evidence and lifecycle tracking (attribution is frozen at the moment of reading), pin / exclude (exclusion applies before retrieval, and is undoable), relation evidence (references / imports / tests, with line numbers) and an incremental index reused across restarts. Since v0.23 there is also an optional hybrid mode: it is off by default and only runs once you configure an Ollama or OpenAI-compatible embedding provider yourself. When it runs, what leaves the machine is your query text plus each candidate file's title and summary — a Markdown summary is an excerpt of the body's first paragraph (at most 60 characters), a code file's summary is its workspace-relative directory, and an image or video contributes its file name; full bodies and absolute paths are not sent, and a loopback provider keeps everything on this machine. Since v0.24 it also associates uncommitted changes: a read-only git status (fixed argv, no shell, whitelisted child-process environment) combined with the same reference / import / test / mention evidence shows which files a change is likely to drag along, and it is off by default. The benefit of semantic retrieval still awaits a real-provider run, so no recall improvement is claimed.

Turns local markdown and text documents into a queryable knowledge base with hybrid semantic and keyword search, citation verification, and source injection.

DSH bundle that registers 13 native codegraph_* tools wrapping the codegraph CLI, so agents bootstrap, maintain, and query a pre-indexed code knowledge graph (symbol query, explore, node trail, callers/callees, impact, affected tests) instead of grepping files.

Remote control: pushes ask / approval / session-end events to an external channel webhook and lets you answer, approve, query status or continue a session from your phone with token auth (npm: `dsh-my-remote`).

Observability and git tooling: a persistent cross-session event audit log with a query API, a resource watchdog sidebar panel, structured Conventional Commits and pre-commit incremental diff review (npm: `dsh-my-observability`).

Memory in global and per-project scopes: memories are injected into the system prompt at session start, a settings panel edits them with confirmation on write, and the agent gets a read-only memory_query tool (npm: `dsh-my-memory`).

Zero-residence context engine: large tool payloads are evicted out of the live context into a queryable store and only deterministic pointers are left behind, so per-turn prompt tokens stop growing with the transcript. Any masked content is reconstructed verbatim from the session log on demand, by tool-call id or session seq.

Business knowledge-network context for DeepSeek Harness: bind a session to an OpenBKN knowledge network, query its objects and metrics through managed MCP tools, and open trace-backed provenance (execution facts and a business graph) for each answer. Ships with the OpenBKN Runtime; the provenance views need an OpenBKN enterprise license.

Adds a configurable humanized whale-girl maid persona with immersive roleplay, speaking modes, and a lightweight layered memory with query-triggered recall.

Aggregated web search provider that fans one query out to 11 engines (Exa, Parallel, DuckDuckGo, SearXNG, Brave, Tavily, Serper, Mojeek, DeepSeek, Anthropic, OpenAI) concurrently, URL-dedupes and merges the results. Ships a settings card for toggling backends, storing API keys in the credential store, and tuning concurrency and timeouts.

Database tools for agents: list/query/exec/schema/stats/health across SQLite/MySQL/PostgreSQL, with lexer-grade read-only protection, row caps, CSV/JSON query output and an approval-gated write path.

Chat-operated multi-database admin plugin for DeepSeek Harness: query and manage MySQL, PostgreSQL, GaussDB, MongoDB, Redis, Oracle, DM and SQLite from the conversation with project-scoped ro/rw grants, a sidebar management panel, schema browsing and data preview, and confirmation-gated dangerous operations.

MySQL connector for DeepSeek Harness: configure multiple connections in the settings page with per-connection table allowlist and write permission, switch the active connection from the composer, and expose mysql_query / mysql_tables / mysql_execute tools to every agent preset.

Query Chinese Minecraft Wiki (MediaWiki API) and convert raw wiki text into clean AI-readable output — search, page intro, full-page Markdown, and random entry; templates, references, images and cross-language links are stripped before reaching the model. Frozen archive: keep the pinned version, as the author no longer adapts it to newer DSH releases.

Conversational GIS for the DSH Web UI with local file and PostGIS querying, interactive maps, and spatial analysis.

Query Chinese Minecraft Wiki (MediaWiki API) and convert raw wiki text into clean AI-readable output — search, page intro, full-page Markdown, and random entry; templates, references, images and cross-language links are stripped before reaching the model.