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Built-in Obsidian-style knowledge base for DSH: agents distill conversations, documents and web sources into a structured .wiki graph, with retrieval, graph export, note editing, incremental builds and multi-vault management.

Manage multiple API keys per provider in Settings → API 密钥: keep a pool of keys with notes, switch the active key with one click, and the switch really takes effect on the next model call.

대화 진행 상황을 Tencent IMA(일일 노트와 Work 지식 베이스)에 자동 업로드하며, 로컬 Claude Code ima-upload 워크플로를 반영합니다.

DeepSeek Harness용 GitHub CI 공동 파일럿: PR 검토, CI 실패 수정, 이슈 분류 및 릴리스 노트 작성.

사용자가 선택한 대화 텍스트를 선택적 메모와 함께 인용하고, 해당 참조를 다음 메시지에 첨부할 수 있게 합니다.

DSH를 로컬 Beav에 연결해 Xiaohongshu(RED/RedNote) 및 소셜 미디어 AI 운영을 지원합니다: 주제 리서치, 지식, 카피라이팅, 이미지, 오디오, 숏폼 비디오 워크플로와 승인 및 산출물 추적.

DeepSeek Harness 에이전트용 포커스 보드: 세션 워크스페이스에 모델이 유지 관리하는 지속적 노트로 목표, 제약, 결정을 압축과 세션을 넘어 고정하며, 자동 컨텍스트 주입, 초기화 시 아카이브, 선택적 웹 패널을 제공합니다.

Multi-agent Chinese debate simulator with eight debaters, live two-column discussion and draft notes, judges and scoreboard, single-side clocks, per-round ZIP archives, a training side with a configurable end condition (win-rate threshold or fixed rounds), and a Word prep package.

Writes short plain-Chinese notes for installed dshmarket plugins that have none and shows them on the market cards; hand-written notes are left alone (only entries marked 🤖 may be regenerated with force=ai), and dshmarket is required.

Self-maintained DSH web task board with a human acceptance gate, card kinds and editable notes on executed cards.

Competitive-informatics senior plugin for DeepSeek Harness: companion practice, three-version C++14 reference solutions, problem explanations, real g++ compile-and-judge (g++ required), and optional solution-record archiving to the ima notebook "信奥学长-题解复盘", for GESP / CSP-J/S / NOIP / NOI.

Competitive-informatics coach plugin for DeepSeek Harness: coaching-rule prompts, learning roadmap, knowledge points, problem setting, real C++ judging with g++, and ima knowledge-base retrieval with four-notebook archiving, for GESP / CSP-J/S / NOIP / NOI teaching. Needs g++, and an ima account with ima-skill and the four notebooks configured; replies carry a WeChat-account promo and QR code by default.

Notes and folder reader in the main panel: a file tree with pinned files, closeable tabs, Markdown split edit/preview with synced scrolling, plain-text editing, manual save, and drag-to-move. Deleting a file moves it to the system trash where one exists (macOS, Linux), falling back to an in-folder dsh-notes-trash directory; Windows has no delete entry.

Saves opt-in conversations as structured Markdown study notes with topic folders and a maintained index.

Meeting notes for dsh: one meeting per conversation, transcribed and speaker-separated on the machine itself, with points, assignments, handwritten notes, reviews and monthly scores in the same panel. Exports SRT/Markdown/Word and packs a meeting into a portable zip another dsh can import; confirmed assignments go to DingTalk/WeCom in one click, following your robot settings. Recognition models are swappable (a stronger local model can be imported from a file), and cloud recognition is off by default with no request made before consent. Word export needs Python and python-docx; the first run downloads a recognition model (28 or 77 MB).

Search public-domain libraries (Project Gutenberg, Wikisource, Internet Archive, Standard Ebooks) by title, author, character or half-remembered plot, or import EPUB / PDF / TXT / DOCX / Markdown, and listen in the sidebar with Microsoft Edge neural voices, offline Kokoro or the device voices; keeps your position, takes voice notes anchored to what you just heard, and discusses the book with your DSH model.

Requires Python 3.12+; Xiaohongshu reading needs the xiaohongshu-mcp backend and a QR sign-in (ffmpeg/OCR optional). Batch-read Xiaohongshu notes and WeChat public-account articles: per-note body, image text via local OCR, video frame text and comment samples, structured JSON/Markdown output, and the original source URL on every result. Read-only: it never publishes, likes, follows or comments.

Gowin (高云) 1.9 FPGA toolchain control for dsh: 15 tools covering environment and license probe, .gprj/.cst project and constraint auditing against a real GW1N board pinout, gw_sh batch synthesis and place-and-route, pnr resource and timing report parsing, programmer_cli JTAG scan and flash, arbitrary gw_sh Tcl, and the GAO on-line logic analyzer capture chain — plus a bundled gowin-fpga skill and three field-note references. Pure JS, zero runtime dependencies.

Trip planning workspace for DeepSeek Harness: a map page with day-by-day stops, roam_* tools that draft, review and adopt an itinerary, and optional MCP sidecars for rail tickets and Xiaohongshu notes.

Notes-backed context compression for DeepSeek Harness: replaces LLM-summarized compaction with a model-written persistent notebook plus recoverable raw history, so the rollover boundary itself costs zero model calls.

Turns a local Markdown vault into two folders the user picks in Settings: a knowledge folder DSH writes notes into, and a memory folder used as the agent's long-term memory with per-turn recall and end-of-turn capture. Pure Markdown with frontmatter, BM25 search, reversible archive, and path isolation that rejects traversal, absolute paths and symlink escapes.

Markdown-as-database project knowledge base for DSH agents: ten kb_* tools (including kb_register for registering existing notes), stable TIDs, `[[node]]` links that never copy text, `[[tscl]]` definitions expanded in place, bounded reads, structural lint covering tscl, workspace-first library discovery, inline git snapshots, a node-graph panel, and a bundled prompt section plus skill that make the agent reach for kb_* instead of hand-written docs/.

Schedules Akasha sleep distillation on idle or timer, and injects a wake note for new sessions plus a per-turn memory pulse; the optional idle-resume behaviour is off by default. Companions: Hindsight (repo memory), OpenViking (user memory), and the built-in session search (see repo README). Setup: clone the repo, copy core/ aside, then replace <AKASHA_DIR> in cordis.patch.yml with its absolute path (or set the AKASHA_DIR env var); plugins fail loudly while the placeholder remains.

Local-first knowledge base for DeepSeek Harness: imports Word/PPT/Excel/PDF (text or scanned), EPUB and MOBI/AZW3, builds Markdown parts with page anchors, OCR quality/confidence and column-aware PDF reading order; adds an LLM-maintained wiki layer (schema.md rules, auto index.md, append-only log.md, typed notes with sources and backlinks), adds source-trust labels (high/medium/low) with trust-aware ranking and low-trust warnings, and supports ranked search, cross-KB query, precise reading/editing, and md/jsonl/zip export. MOBI/AZW3 need Calibre; legacy .doc/.ppt need Word/PowerPoint (Windows) or LibreOffice (Linux); scanned-PDF OCR downloads models on first use.