Plugins

Plugin d’application du protocole mémoire : relie le serveur MCP opencode-memory, impose memory_weave avant les appels d’outils, ingère automatiquement les tours et injecte le contexte mémoire dans les étapes de l’agent.

Ajoute un dashboard d'utilisation dans les Settings pour le solde de la DeepSeek API, l'analyse officielle des tokens et des coûts, les tendances, les avertissements de contexte et l'activité de l'API en direct.

Montage incrémental de fichiers avec déduplication de lecture : les plages de lignes montées ne sont jamais renvoyées au modèle, les changements sur disque invalident et remontent, avec un onglet Fichiers montés et un suivi des économies de tokens.

Expose les capacités d'agent de DeepSeek Harness comme un serveur MCP, pour qu'un client MCP externe (par ex. Hermes) puisse piloter Harness pour exécuter des tâches de code. Hermes = cerveau, Harness = bras.

Les images jointes au composeur sont transcrites en texte par un modèle de vision compatible OpenAI avant d'atteindre les modèles DeepSeek texte seul.

Réserve de prompts LIFO locale et par session, pour mettre de côté temporairement un texte de composer inachevé et le restaurer en toute sécurité plus tard.

Human-editable notes, todos and documents for DeepSeek Harness, with search, tables, attachments, export and optional agent collaboration.

Deterministic, zero-LLM, byte-budget context compaction for DeepSeek Harness, with byte-exact recall of compacted history.

Google-AI-Studio-style turn controls for DeepSeek Harness, in one install: edit a prompt and re-run it, re-run a reply in place, delete a turn from the model context, and render sent prompts as Markdown. Self-contained: the plugin list shows this one row;

Lets the model trigger compaction itself at a safe point via a compact_now tool (works mid-turn), plus a context_status tool reporting real token usage against the session's actual context window.

独立本地记忆插件：JSONL 记忆条目、每轮 runtime-context 注入、local_memory_search/local_memory_remember 工具、设置面板管理页。不依赖 Mnemon。

DeepSeek Harness plugin that fixes RTL/LTR bidi rendering in chat: per-block direction for Persian and Arabic messages with embedded English, plus list markers and quote bars that follow their text

Windowed, reversible context management for DeepSeek Harness; replaces Basic compaction.

DeepSeek Harness 的 MCP 服务与 Skills 管理器：面板里增删改 MCP 行、扫描导入其他 Agent 配置、管理 Skills。Web 与 Desktop profile 通用。

Read-only side branch in the right sidebar: quote text to ask follow-ups without polluting the model context of the main session; every follow-up rebuilds the branch from the latest settled turns of the main session, and writes are refused at the tool-execution layer so the prompt prefix stays cacheable.

QQ channel for dsh via OneBot 11 (NapCat and friends): reverse or forward WebSocket, DM and group chats, image and voice transcription, t2i text-image cards, merged forwards, and a settings page.

Bitmap-frame context compression plugin for DeepSeek Harness: renders discarded conversation history into pixel-font PNG frames for vision-capable models.

Resumes turns interrupted by a DSH host restart: hooks agent activation (once a session is live), reads the crash-repair turn/end, and sends a continuation that requires verifying real-world state first rather than assuming a side effect succeeded or failed. Permanent failures (AUTH, QUOTA, context overflow) are skipped, with a cross-restart budget, adaptive backoff and a minimal-context payload.

Replaces the reasoning-effort dropdown with a draggable snapping slider, and draws 13 canvas effects across five style families (thrust, fluid, fantasy, tech, texture) with three tiers that unlock as the effort level rises. Custom mode combines 10 particle forms with 8 flow trajectories; 9 accent presets and a hex picker recolor every effect, and optional key sounds cover two voice clips, a synthesized duck squeak, a mechanical click and a local audio file.

Markdown visual enhancement and session workbench for DSH Web Composer: live syntax presentation with caret-row source reveal, deterministic local completions and diagnostics; long pastes fold into persistent chips with inline context or file-mode delivery (@path across 50+ extensions) plus sidebar LLM rewrites (stop, preview diff, undo/redo); real-time context map with token gauge, composition breakdown, per-turn growth chart with anchor lines, in-place /compact, and turn forking.

Drive your local DSH from WeChat: a self-hosted iLink bridge over a persistent ACP session (context lives in DSH and is resumable), phone conversations grouped into the desktop workspace, with image recognition, file messages (Excel/Word/PDF, parsed by the agent itself) and voice transcripts. Access defaults to strict (only registered devices are served); the phone channel's permission preset is wide by design - see the README security section before sharing the bot.

Meeting rooms for DSH sessions: joining a room grants the right to convene and the duty to attend, and a session belongs to at most one room. Convening forks each participant in with its own completed-turn context and with its tools stripped, a moderator that carries no context chooses the speakers, and every turn is appended to disk as it is spoken. After adjournment each participant receives its own minutes as a user turn and resumes work.

On-demand skill tools for DeepSeek Harness: registers skill_search / skill_load / skill_ref so the model searches a staged skill library first and loads a skill body only when it needs it, keeping the library out of the resident session catalog and out of every turn's context; adds a Skills tab to the conversation view ring that reads back the whole session and lists which skills were actually loaded, and in which turn. Zero dependencies, and the records render client-side only, never entering the model's context.

Headless Playwright fetch (title + body text) in WSL.