Plugins

Displays account quotas, Git state, context usage, public API reference costs, Subagent activity, and streaming speed in DeepSeek Harness Web.

Right-side overlay panel for DSH sessions showing git status, background jobs, skills and MCP usage, artifacts and visited pages, with a commit/push dialog and one-click GitHub publish.

Monitor de saldo de serviços de terceiros para DeepSeek Harness: escolha o serviço, informe API Key e consulte a cota a cada 1/5/10/30 minutos; mostra painel principal e ícone de status na barra lateral. Inclui apenas serviços com API de consulta de saldo: Tavily, 博查, Firecrawl, SerpAPI e TinyFish.

Project-level memory built around a ledger whose structure the AI designs per project; the plugin only handles detection, injection, write-back, archiving and git. Memories are split by meaning: the active ledger holds current state, the turn journal is append-only, and decisions, the goal tree and lessons are one-card-per-file (with a multi-dimension index over the card folders); the fundamental principles file can be changed only by the user. There is a single compaction mode: before compacting, the AI sorts the work into three buckets - what must stay in context and is re-injected verbatim, what is written to the project's _stash/ for later lookup, and what is dropped. When a conversation is opened in a container workspace holding several projects, it can be locked to one sub-project (the lock lives in the plugin's own home and survives restarts; it leaves no marker in your project). Also an activity log with five levels, where L4 stores the user's own words verbatim (never injected, queryable on demand). Before each compaction a verbatim capsule (user quotes, raw errors, changed files) is written to disk, and both the capsule and its source material survive a restart; a handoff document lets a new conversation resume the previous one. 21 tools, 12 subcommands, 39 settings (one of them switches whether the settings panel or each project's manifest wins). Runs locally, no runtime dependencies.

Provider de navegador para DeepSeek Harness: executa tarefas web passo a passo em navegador real, consultando uma tabela indexada de ações disponíveis em vez de HTML ou capturas. Cada etapa usa uma decisão Jev, não um turno completo do modelo; benchmark do repo: mediana de 1,1 s contra 2,8–3,6 s por turno de chat-model. A conversa recebe só a conclusão e não cresce com o contexto da página. Os alvos vêm da página recém-lida e páginas alteradas são lidas novamente antes de clicar. Usa o navegador pertencente à Session e deixa seu Chrome cotidiano intacto, salvo se você ativar attach mode.

Geração de imagens compatível com OpenAI nas conversas do DeepSeek Harness: texto para imagem, edição e geração em lote, diretamente na conversa.

Shows what each completed turn cost in CNY on its own row under the turn, with a click-to-open breakdown naming the tokens per category, the unit rate, the matched price rule and the billing instant; per-model rates are edited on a settings page inside DSH — four token categories plus weekly recurring peak/valley rules with arbitrary multipliers and absolute time-window promo prices that override them. 0.2.3 adds account awareness: it reads the balance or remaining quota of 14 providers (DeepSeek, OpenRouter, Zhipu GLM, Moonshot, MiniMax, Kimi Coding, OpenAI-compatible relays and more) and shows today / this month / this session spend next to it; spend is accumulated in a local ledger (atomic writes, one book per API key, 1-24 month retention, JSON export), and a monthly calendar lets any day be corrected by hand - including days with no balance observation - with an optional note. Usage and rates are computed locally from what the provider reported; balance is read straight from the provider API with your own key, and nothing is sent to a third party.

Puts the DSH web UI on a phone browser over your own tailnet, with the remote channel built on Tailscale Serve. Both sides need only Tailscale: no dedicated app, no QR code, no login page, no account of its own, and no relay of your content. The desktop half runs on macOS, Windows or Linux.

Registers the eight official GSAP AI skills in DeepSeek Harness; the skill bodies ship inside the plugin, so it works after installing and restarting with no configuration, account or API key.

Reads and writes a self-hosted Bitwarden/Vaultwarden vault from any session: eleven bitwarden_* tools, real-time WebSocket sync with a polling fallback, a settings panel with readonly, ask and auto write modes, and optional local masking — with masking on, passwords surface as stable placeholders unless revealed one field at a time, and on-disk session logs are swept for bitwarden secrets. Masking and log sweeping are separate switches.

Inspeção somente leitura de banco Dameng DM8 com 85 verificações e geração de relatório HTML.

Memory-assembly team for DeepSeek Harness: every message triggers a five-step cognition loop (judge, retrieve, assemble, feedback, calibrate) carried by role-playing subagents (judge, retriever, archivist, advocate, editor, scribe), using BM25 retrieval, time-ordered material, and LLM assembly to build useful material packs injected into linghun. Works with dsh-linghun.

Persists unsent composer attachments per session, so images and files pasted into the input box survive page switches, conversation switches and app restarts: the bytes are mirrored in IndexedDB and handed back through the official createDrafts/addAttachments channel, and are dropped as soon as the message is sent or you remove them.

E-commerce product image generation for DSH: 24 prompt modules covering main, detail and ad images, style transfer from a reference shot, batch runs, and a project gallery with live preview.

Exibe em tempo real o saldo das contas de provedores de modelos e serviços intermediários.

Pesquisa na Web com fontes para DeepSeek Harness via gateways compatíveis com OpenRouter: `web_search` usa o mesmo endpoint e chave dos modelos de chat, retorna fontes citáveis e pode ser configurado em Plugins.

Mercado de plugins do DeepSeek Harness para explorar plugins oficiais e da comunidade, verificar a compatibilidade antes de instalar e encaminhar ao fluxo oficial de instalação.

Save whole turns — the question plus the full answer — as plain Markdown inside the session workspace, promote the good ones into a cross-project personal knowledge base, and let the model search it on demand. No database and no runtime dependencies.

Inicie o PosterFlow pela barra lateral Web: clique em `开启生图模式`, reproduza um vídeo de transição e abra o site.

A chip at the left end of the composer tool row showing whether DeepSeek bills at peak or off-peak right now. Clicking it opens a card with the current state and rate, the next switch with a countdown, and why this instant is in that state: a weekend, a named statutory holiday, a 调休 make-up workday, or simply outside the peak windows. Times are resolved in Beijing time with an explicit UTC offset, so the verdict does not depend on the machine clock; a hard-coded 2026 Chinese holiday table carries the 33 holiday days and the six 调休 workdays, and a year beyond the table says so instead of guessing.

Exposes the models already configured in DeepSeek Harness through an OpenAI-compatible gateway, so other local projects can call them with any standard OpenAI client. Multiple provider candidates share one named group with ordered, balanced or random dispatch; upstream failures before any output switch to the next candidate transparently, and rate-limited requests are retried after the provider's backoff. Per-candidate call statistics (attempts, answers, failures, token/TTFT totals) appear as badges in the settings page, and daily aggregates persist to a local file with a 30-day heatmap and trend view. Until you create a key in the UI, the endpoint accepts calls from anyone who can reach it; keys (stored as SHA-256 hashes) then turn authentication on, and the endpoint stays locked even after the last key is revoked. Exposing the optional LAN listener without a key leaves the port open to the whole network. Runs on DSH 0.1.2-rc.1 through 0.1.7-alpha.1 and later.

Gere skills (SKILL.md) e servidores MCP nas definições DSH, globalmente ou por projeto; as alterações são aplicadas de imediato.

Seleção de britadores cónicos hidráulicos MACKORN NH/NS e linhas de britagem e crivagem: 21 ferramentas cobrem requisitos do cliente, modelo/câmara/CSS, configuração da linha, simulação granulométrica Whiten 1972, calibração por medições, custos energéticos, desgaste de revestimentos, avaliação de distribuidores e proposta de 14 capítulos. Plugin DeepSeek Harness e servidor MCP por stdio e HTTP remoto, sem dependências.

Codebase Memory MCP bridge for DeepSeek Harness: six knowledge-graph code tools, auto-started background daemon with visualization Web UI, and bundled agent skill.