Plugins

Evidence-bound negative-knowledge ledger: persists disproven paths (command_failed, file_missing) with their outcome and precondition evidence, then warns or blocks repeat attempts until the evidence changes.

RMB/USD token-billing plugin for DeepSeek Harness (dsh web): official-policy auto pricing with peak/off-peak hours, per-message ledger, account balance, locale-driven currency display. 人民币/美元 token 计费插件

Dual knowledge-graph RAG for Markdown notes with half-life memory decay: prerequisite + similarity graphs (P/S-Agent traversal), paragraph chunking, n-gram/embedding hybrid search, and an explicit weight-feedback loop — a native Cordis plugin, npm-installable as @eqman00003/knowlp-rag.

Vector + graph memory backend: observe/remember/search/recall tools against a local memoria server, fusing HNSW semantic recall, FTS5 keyword search, and knowledge-graph signals via RRF ranking, with automatic turn-end persistence and per-agent namespace isolation.

A collaboration front-office for AI agents and humans — department boards, tickets, approvals and industry calculations run inside the DSH conversation and panel, so agents do the work in chat while humans stay accountable in the panel. It calls the 01men/ybkkasi governance base over existing contracts (asset ledger, IAM, OIDC SSO, RBAC and scene-level authorization) instead of re-implementing governance. Ships as a Cordis bundle and mounts at /gate01; the selftest suite is green on every push. Do not install this and 01men/ybkkasi as dsh bundles in the same profile: both register the ops-platform-core / ops-iam / ops-authn rows. Requires DSH >=0.1.0-rc.7 <0.2.0.

Native Windows question and completion notifications with customizable titles and icons, foreground suppression, acknowledgement, and activation of an existing DSH browser tab; requires one-time local setup.

Chrome/Edge companion extension: select text on a page and click the badge to get a Markdown answer from dsh in the side panel or a floating card, with native multi-turn follow-ups; host-side tools let the agent read the current page, capture HTTP traffic and drive the browser. Fork of stuarthu/dsh-chrome (MIT): upstream supplied the bridge, browser tools and page injector, and this fork adds select-to-interpret, native multi-turn follow-up, in-panel settings and appearance options. It registers the same browser_* tool names as the upstream, so the two cannot be installed together.

Cross-session memory and a per-workspace knowledge base in one plugin. Memories are plain JSONL under ~/.dsh/memory by default; each session starts with the relevant ones already in the system prompt and writes one back when it ends. A read-only kb/ folder per workspace plus one global folder is searched with results cited down to file lines. Eleven tools under a scribe_ prefix (seven scribe_memory_*, four scribe_kb_*), a /scribe slash command, and a settings page with overview, memory, knowledge base and migration tabs. Cloud backends (Bailian memory library, ChromaDB, cloud-primary with local mirror) are opt-in; moving data between them requires an explicit approval and is logged so it can be rolled back.

Desktop pet with a chat panel: QQ-style history, favorites, and branch threads that merge back into the log as a forward card; the panel docks beside the pet and resizes from its edges and corners. Modified from PC2005-cloud/dsh-pet (MIT); do not install together with the original.

知枢 KnowHub — DSH 全局知识中心与项目长期记忆：知识库、Repo Wiki、审核与版本、增量更新、检索与上下文注入、自动提炼、备份恢复、中文面板

Session-level autonomy gears for DSH: a rail on the edge of the conversation area switches P/R/NT/NC/NE/M-/M+/D/A and injects the active gear's behavioral prompt into every request; the model's set_gear tool can only downshift, and handbrake H blocks all tool calls. The set_gear tool can downshift on its own; upshifts need user approval.

Records DeepSeek Harness runtime errors and coding retrospectives as an interactive GPU graph, and feeds the recorded lessons back into the model's context.

A photo-real desk pet for the DSH window: five personas with five expression sprites each, whose dance, hair-flip and walk actions play as 24 fps VP9 alpha video clips, plus a single-shot stage clip that walks to the centre, dances and walks back without cutting; proactive lines with an optional edge-tts neural voice, ink / confetti / cloud / fog / bomb effects, a right-click menu and a /dsh-pet command, plus a small chat box that answers through a one-shot host model call without writing to your session. UI text ships in en, zh, es, pt and hi.

A biomedical Research Graph grounded in literature and experiment results. Fork hypotheses, connect evidence, advance research.

Runs a Douyin subagent that browses videos and reads comments in valley hours and reports back, with dy_* tools for publishing and replying (comments sent from the already-logged-in page with its own request signature, no IM ticket), a daily quota timer, and a settings panel under Settings → Douyin: master switch, auto mode, valley windows, rounds per day and report depth. Windows-oriented; needs the separate douyin-mcp binary (yunsur/douyin-mcp releases, path set via dy_config mcpExe) and an Edge/Chromium login; replying needs a logged-in browser on a CDP port; publishing needs extra credentials most accounts lack.

Read-only session-log projector (drsc) for DSH: scans ~/.dsh/sessions/**, decodes zstd/tiled-frame logs with a vendored leaf decoder and rewrites per-session projections into its own SQLite (node:sqlite, segments / replaces + FTS5), exposed through a single fenced HTTP route — surface ledger, recall/compression pair accounting and Chinese-capable full-text search. Token counts share the exact DeepSeek-V4 tokenizer and formula as CCI verify, falling back to a labelled chars/4 basis when assets are absent. Never writes session files; all output lands in its own data directory. Serves three consumer plugins: context-compression-improved (surface marking + recall reconciliation), session-steward (search-corpus switch), prime-memory (historical anchor backfill). Hosts 0.1.0-rc.2 .. 0.2.1-rc.2 (17-tag exact engines.dsh enum). npm: dsh-reference-session-collector.

Builds a Markdown knowledge base from your course materials, then drills you until every knowledge point reaches your target accuracy; each answer must include your reasoning.

A memory subsystem for DeepSeek Harness: full ontological memory (event/fact/rule three-ontology) plus a goal system (goal.js) — belief values written via Bridge trigger words, goal activation scored at read time (0.25 domain + 0.35 bridge + 0.40 sim) to recover goal/value long-range associations, journal ledger, episodic archive, low-confidence decay, memory_append/read/consolidate plus linghun_goal_update/get/state closed loop. Independent of the original dsh-linghun line. 16/16 on LoCoMo-Plus.

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.

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.

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.

A project-scoped memory plugin for DSH. Knowledge authoring and the plugin's own prompts are open to editing, so users can redesign the library structure and how the model is driven without changing a line of code. By default the library is built on one core idea: a project document you design yourself (a handoff by default) is the project entity; the plugin detects which project a session belongs to, binds captured knowledge to that project, and promotes what generalizes into theme and global layers. The most natural logic there is does the pre-filtering of knowledge, with controllable compression and archiving of context.

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

OpenBKN business knowledge-network context for DeepSeek Harness