Plugins

Image generation workbench and agent tool for DSH: one tool (ark9_generate_image) paints text-to-image and image-to-image via any OpenAI-compatible API. Channels are entirely user-configured - no bundled endpoint, you bring your own baseURL, key and model name (manual input supported). Agent-initiated generations are approval-gated by default: requests queue in the floating panel and nothing bills until you approve; approval is non-blocking (the agent replies "awaiting your approval" immediately, and results, denials or timeouts are injected back so the agent reports them in the next turn). Floating glass workbench with five tabs (Generate / Approvals / Prompts / History / About), aspect-ratio grid with quality-budget + 16px-alignment sizing, transparent background, batch up to 10 images as aggregated sub-tasks, prompt library with custom JSON sources fetched through a host proxy, persistent generation logs with one-click retry, multi-channel aggregation with per-channel model fetching, bilingual UI (zh/en), stroke-SVG icon set, config import/export. Registers as a Better Sidebar tab when dsh-better-sidebar is installed; stacks above the dsh-cua FAB when both are present.

Memory consolidation tuning for dsh-mneme (autoDream enabled, schema-max output budget, deepseek-chat route) plus the llm-deepseek reasoning-effort fix, an MCP bridge to the auditable seed-society agent runtime, and six yogacara seed skills.

Hard-stops further tool calls after a configurable per-session budget is reached.

Composer stats strip for the DSH Web UI: official CNY pricing with auto-synced peak/off-peak tiers, per-model accounting, live timers, subagent-tree merging, DeepSeek account balance, budget alerts, and streaming cost estimation.

Memory Standard Protocol (mm) for DeepSeek Harness: layered MEMORY.md with hard budgets, frozen snapshots, mm:// URI interop, session-log digestion, mem_* tools and a standalone CLI.

Konversationelles Buchhaltungsbundle für dsh: Ausgaben/Einnahmen per Chat mit strenger Betragsvalidierung und Datumsangaben in natürlicher Sprache erfassen, dann Abfragen, Berichte erstellen, CSV/HTML exportieren und monatliche Budgets anhand eines lokalen SQLite-Hauptbuchs verfolgen.

Persönliche Buchhaltung für DeepSeek Harness: Ausgaben/Einnahmen erfassen (einzeln oder im Stapel), Auflisten, Monats-/Jahresstatistiken mit Trends, Budgets mit Fortschritt und Überschreitungswarnungen, Wiederherstellung nach Soft-Delete, CSV- und eigenständiger HTML-Bericht. Keine Abhängigkeiten, lokales JSON.

Konfigurierbare Budgets pro Turn für unterstützte Dateimutationen, die vor der Tool-Ausführung distinkte Dateien, Mutationsaufrufe und UTF-8-Payload-Bytes begrenzen.

Modellseitiges image_describe-Werkzeug (识图) über die OpenAI-kompatible DashScope-API (qwen3.7-flash), plus eine Einfüge-Brücke: In Text-only-Sitzungen werden eingefügte Bilder beim Senden automatisch in Dateipfade umgewandelt und im Transkript zurückgerendert, sodass sie nie an der Bildannahme scheitern. Eigenen DASHSCOPE_API_KEY mitbringen; Endpunkt/Modell/Budgets konfigurierbar, redirect-fester HTTP-Client, funktioniert in jedem agent preset.

Langzeitgedächtnis, das beim Session-Start injiziert wird: Präferenzen/Fakten/Zusammenfassungen/Wissen in globalen und projektbezogenen Scopes, budgetierter Recall über `agent/pre-step`, dauerhafter JSON-Speicher.

Verfolgung von Token-Nutzung und Kosten mit Budgetwarnungen pro Tag/Session und einem usage_report-Tool.

Token-Budgetverwaltung für den Agentenbaum.

Track token spend and enforce budgets for every model call your dsh agent makes.

Edit global and project instruction files in DeepSeek Harness settings, with project-chain discovery, byte-budget display, and save-conflict handling.

Hard stop for runaway turns: blocks repeated identical tool calls and ends the turn when per-turn step or time budgets are exceeded.

Read-only enhancer for a file-based long-term memory library (markdown cards in git): a memory_find search tool, a small budgeted memory digest injected into the system prompt, and a settings page with library overview, health-check status and toggles.

Three-mode visible-session advisor plugin for DeepSeek Harness with configurable tool permissions, local-subagent coverage, and task-tree budgets.

Adds per-route context window and compaction threshold fields to the Models settings page and a vendor-aware thinking-effort picker to the composer, writing llm-pi-ai capacities, reasoningEfforts, and a compaction-basic patch row.

DeepSeek Harness plugin: expensive models plan and review, cheap models implement, a program loop keeps the factory inside budget.

CWL — Context Window Lifecycle for DeepSeek Harness: structured context eviction (arXiv:2606.11213). Graduated, deterministic, zero-LLM eviction of exploration/action episodes when context pressure exceeds budget — no summarization lossiness, no hallucina

Injection scheduler for DeepSeek Harness injection planes: cross-plugin sections register/order/account on the official storageDomain, with conflict detection and per-session budget summaries (B10 panel data source).

dsh-plugin: quality-first topic memory for dsh — a topic keeps the starting question, conclusion, impact and dependencies, not the process; local-first git-traced OKF bundle, budgeted LLM-free injection

Cross-session knowledge for DeepSeek Harness: ctx.knowledge service + knowledge_* tools, SQLite FTS5 trigram retrieval (CJK substring) with L1 query expansion. V1.11 contract (write/update/search/list/delete + budget + events + error codes).

A /remember command that writes facts into the AGENTS.md instruction hierarchy dsh already loads, plus a Memory tab showing which instructions the loader kept within its byte budget.