Plugins

MCP Connector for DeepSeek Harness: a specialist MCP marketplace and MCP manager panel for Model Context Protocol data sources. Connect enterprise, financial, legal, patent, research and geospatial data; manage authorization, search tools and troubleshoot connections. Supports OAuth, API keys and HTTP/stdio. Provider permissions and fees apply.

baro as a DeepSeek Harness subagent provider: delegate a multi-story goal, get parallel execution, independent review and a verified outcome back — with a live run panel in the sidebar

Personal center for DeepSeek Harness: cross-session usage statistics with per-provider and per-model breakdown (auto-discovers configured models), per-model cost estimation, global custom instructions, a data-driven desktop pet with bitmap & vector skins, and a conversation status overview, all local and offline.

Volcengine Ark provider plugin for DeepSeek Harness (DSH): registers Agent Plan, Coding Plan, and postpaid routes on the native pi-ai adapter so Ark models appear in the model picker.

Runs Midscene on the models already configured in DeepSeek Harness instead of separate third-party API keys: hosts an OpenAI-compatible bridge on 127.0.0.1 (default port 8787, automatically skipping occupied ports) that proxies chat completions, streaming and non-streaming, to the DSH host model layer, so DeepSeek official routing, CodeBuddy, Codex and custom OpenAI/Anthropic endpoints all become available to Midscene agents while credentials stay inside the provider plugins and the bridge never touches them. A `/v1/midscene-env` endpoint generates the four MIDSCENE_MODEL_* environment lines with the model family inferred, and seven built-in skills — browser, desktop, Android, iOS and HarmonyOS automation plus a Vitest E2E skill and a Midscene knowledge reference — appear in the session skill catalog without `npx skills add`. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-midscene`.

Multi-source web search and fetch failover for DeepSeek Harness sessions: takes over the session searchProvider and fetchProvider seams and tries configured sources in a chosen order — TinyFish, Tavily and the official search as a fallback that always participates and can be repositioned but not removed. Multiple API keys per platform are spread round-robin, usage snapshots drive pre-flight exclusion of exhausted accounts, and per-request timeouts plus same-platform retry control failover granularity. Web fetching runs local HTTP first, then falls back to TinyFish Fetch server-side rendering and Tavily Extract, so pages still load when local egress is blocked by proxy or DNS policies. A per-platform panel shows key usage and plan limits. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-failover-search`.

ChatGPT account sign-in for DeepSeek Harness through a Codex browser OAuth flow with no API key and no workspace selection: subscribes the login to pi-ai's Codex provider, lets you set the global default Codex model and reasoning effort for new sessions, refreshes the model list from the signed-in account's own catalog endpoint, and shows the five-hour and weekly usage windows in the composer.

Adds account login, API and custom Provider setup, model switching, image fallback for text-only models, and token/cost attribution to DeepSeek Harness 47f.

Sidebar billing dashboard: real usage aggregated from session logs (per-model and per-day calls/tokens/cache), cost estimated in CNY from a current multi-provider pricing catalog, subscription-plan (coding/token/agent) routes exempt, and per-provider health dots.

Local billing dashboard for DSH model calls: multi-platform provider/model breakdowns of calls, tokens and spend, peak/off-peak pricing, manual CSV price import with peak windows, official-bill reconciliation, and HTML/PDF/CSV export.

Native account-pool and provider plugin for DeepSeek Harness on macOS and Windows: official browser OAuth and provider-native transports for Codex, Antigravity, Grok, Claude, Cursor, WorkBuddy, Command Code, Hermes and OpenRouter Free, with per-account model catalogs, plan and quota windows, quota warnings, and manual, sticky-session, round-robin, failover or most-allowance-left account selection.

Registers a local OpenAI-compatible bridge as a native dsh model provider: reuses the models already signed in on the desktop app on this machine, manages the bridge and its local dashboard process, and adds five tools, a /workbuddy command and a nine-tab settings panel. Requires the desktop app to be installed and signed in on the same machine; the bridge binds 127.0.0.1 only.

You.com agent skill provider and MCP setup for DeepSeek Harness (dsh), registered via ctx.skills

Per-model reasoning-effort and input-modality configuration for third-party providers: suggestions fused from a model knowledge base and raw /models endpoint evidence with confidence labels, edited inside the official Models page card.

One DSH plugin that aggregates the models of WorkBuddy (personal multi-account, enterprise and the WorkBuddy AI international edition), Qoder CN and Trae CN into a single model picker with a shared conversation history, live credit multipliers, per-model reasoning effort, the largest context window the international edition declares, and daily check-in where the channel offers one.

Requires at least one search API key (Grok, or any one of the supplementary sources). A grok-search-rs-backed web search provider for DeepSeek Harness with configurable source fallback, visual settings, search log replay, and account quota queries.

A workbench for engineering and math problems, with nine tools for reading images, solving, plotting and verifying answers, plus four bundled skills. Needs Python with numpy and Pillow. Image reading, figure checking and formula typesetting rely on a vision provider you have configured a key for, so those images are sent to it, and without a key they fail while the other tools still work.

Bottom info bar for the DSH Web UI: provider/model, live balance, peak/off-peak pricing with countdown, and real persisted per-session spend in a single line.

Adds Xiaomi MiMo, Doubao, Breeze and browser speech to DSH, with external provider and local model adapters, text filtering, streaming read-aloud, audio downloads, sound effects, desktop pets, QQ Bot and AI Passport integration.

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.

Floating DSH desktop pet with 12 authored state animations for requests, tools, compaction, archive and prompt enhancement; live context occupancy; a persistent cross-session Lifetime Ledger; per-provider/model totals, hourly trends and 7/30-day views; dark/light theme switching; optional cost estimates (off by default) with a visual price editor and monthly budget alert; client-side skin ZIP import; JSON/CSV usage export; snapshot-only panel reads with background incremental indexing; and opt-in prompt enhancement with editable preview and DSH composer submission.

Qwen, DeepSeek, Kimi and Z.ai web chats as DeepSeek Harness model providers, signed in through your own browser account

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.

Tencent CodeBuddy model provider for DeepSeek Harness that signs in with browser OAuth instead of an API key, lists the CodeBuddy model catalog with the context, output, tool-calling, reasoning and image capabilities of each model, keeps multiple accounts with automatic failover to the next usable one, shows remaining quota in the composer with a token and credit usage panel, and completes automatable CodeBuddy growth tasks per account with an execution log. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-codebuddy`.