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Doctrove: versioned library documentation retrieval MCP server for coding agents — catalog lookup, version selection and focus-ranked doc extraction, with zero runtime dependencies and a dsh bundle.

Scans a project's declared build commands — Makefile targets, package.json scripts, just recipes, deno tasks — and exposes them as ready-to-run agent tools.

Turns markdown into a WeChat Official Account (微信公众号) draft: inlines every CSS rule onto its element because the editor discards `<style>` blocks and class names, uploads each local image through WeChat's own endpoint so it is not filtered out, and creates the draft; it never broadcasts.

Connects DeepSeek Harness to AsimovBox for creating, updating, rendering, and finishing videos through API-key-authenticated tools.

Local-life toolkit for DSH agents: budget planning, bill splitting, unit-price and discount math, common unit conversions (jin/li/chi, C/F, L/gallon), and trip checklists.

Education toolkit for DSH agents: lesson-plan skeletons by grade band, quiz scaffolding and answer-key validation, analytic rubrics, Anki/markdown flashcards, and readability levels.

Write notes and memos to flomo (浮墨笔记) from any agent via the flomo_send tool, configured once with the flomo API URL or API Key.

Project memory for coding agents on DeepSeek Harness: similar past edits surface as precedents, out-of-scope edits are blocked, and cognition persists across sessions (47 upstream-verified fixes, gold-free 20-task run).

PLUR memory rendered into the system prompt on each assembly rather than exposed as a tool call, so the block is replaced instead of appended and context stays flat across a session. Fully local hybrid search (BM25 + BGE fused with RRF), plain YAML storage you can edit, per-workspace scoping, and a /plur-memory browser.

Connect Trilium notes to the DSH agent via ETAPI with 20 agent tools: durable memory (remember/recall + auto-injected index), note management (CRUD/clone/attributes/revisions), full-text search, weekly-report workflow, attachments, calendar notes, backup/import, and a settings card.

LLM-driven remember/forget memory: after each turn a model decides what to keep (MemoryDirector), injects relevant memories before each step, dedups, and persists cross-session.

PostgreSQL-backed durable memory for DSH agents: MCP memory tools plus a Web panel for reviewing memories and candidates.

A GUI subagent-model selector beside the main model seat: pick a model and reasoning effort per session, applied to every in-process subagent.

Manage DSH rules from the web settings panel — edit global/project AGENTS.md, or auto-split pasted rules into layered AGENTS.md and skills via LLM.

Model sampling sliders (temperature / maxTokens) in the composer: override every model request for all providers via the agent/request hook, with hot/persist modes.

Desktop profile for dsh: native Tauri window over the harness web surface with tray, native notifications, a file-manager panel, and one-click updates.

클리피가 돌아왔습니다, 이번엔 진짜로 도움이 됩니다. 실제 에이전트 상태에 반응하는 오피스 어시스턴트 펫으로, 턴이 완료되면 점프하고 턴이 실패하면 클래식한 "illegal operation" 대화상자를 띄움

DeepSeek Harness용 에이전트 FinOps / 토큰 분석: 사용량 수집, 시간 인식 비용 엔진, 캐시 분석, 세션 드릴다운

U동기화 / Uagent Sync — DeepSeek Harness용 기기 간 워크스페이스 동기화: uagent-sync CLI를 통한 백업, 복원, 생태계 업데이트

DeepSeek Harness IM 브리지 플러그인: Telegram 및 WeChat 메시지를 상대별 에이전트 세션으로 라우팅하고 답장 전송

DeepSeek Harness용 데스크톱 스타일 프로젝트 및 AI 워크벤치

DeepSeek Harness용 Web UI 플러그인: 로컬 Markdown 파일이나 URL에서 스킬을 하네스가 자동으로 탐색하는 스킬 루트로 가져오기

DeepSeek Harness용 페일클로즈드(fail-closed) 방식의 턴별 단계·도구 호출·프로바이더 토큰 예산 제한