Plugins

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

Local task checkpoints and bounded recovery for DSH, with optional L0–L3 hierarchical memory, dependency-aware retrieval, prerequisite-aware context, and six opt-in memory tools.

Compiles a repository into a source-grounded code map: structured pages where every claim carries a verifiable path:line citation, an interactive dependency graph, knowledge cards, four model tools and the /codemap command. Deterministic, no model calls, zero dependencies.

Layered long-term memory for DeepSeek Harness: append-only event log, rebuildable tag index, day diaries, semantic layer, trend quarantine, and an offline knowledge-graph panel.

Interactive topic graph for DSH session history: groups questions into topics, drills into per-topic Q&A timelines, supports semantic regrouping, and exports HTML, SVG, and Bluepin vaults.

DocChain knowledge base, document conversion and knowledge-graph toolkit — filename, content and metadata search, locate-by-doc_id/name with content reading, topic listing, bulk document upload, document-to-Markdown conversion, image-similarity search, per-document image descriptions saved to a sidecar markdown (flowcharts and architecture diagrams are turned into PlantUML sketches, other images into text descriptions; the original image is replaced by a clickable link), a deep-research workflow, and a knowledge-graph layer (ontology inspection, read-only Cypher, ontology/entity/relation writes). Every script-backed capability also ships as a native DSH tool executed in-process: doc search, content search, filename search, topic info, metadata search, upload, image search, image describe, doc2markdown, plus kg schema / kg cypher / kg upsert node / kg upsert relation / kg delete node / kg delete relation. All graph operations go through the DocChain API, so no Neo4j password is needed. The configuration page keeps several docchain environments (each with its own address and credential), switches between them in one click, and pre-selects topics per environment. Needs a docchain service URL and API key (except doc2markdown); image descriptions additionally need an OpenAI-compatible multimodal endpoint (defaults to an internal gateway model, configurable).

Publishes a lesson into the DSH conversation: the dependency spine, the question and the vault's drawings, drawn in the vault's own palette.

Learn an ERP through the browser into private local knowledge, with a desktop Adapt ERP workspace (multi-site sessions, chat in the middle and the official Browser on the right, approvals before writes).

Memory Fortress for DeepSeek Harness: 5-track layered memory, self-evolution, knowledge graph (SQLite+FTS5), status pill. 本地记忆堡垒：五轨记忆·自我进化·知识图谱·状态灯。

DSH knowledge-graph memory with a better-sidebar tab and a standalone /graph-memory/app dashboard: extracts TASK/SKILL/EVENT nodes, recalls across sessions, and ships as the npm package dsh-graphmemory.

Local-first AI literature desk for DSH: import and parse PDFs (MinerU APIs or on-device pdf.js), read original/bilingual text with in-margin annotations, ask grounded questions whose citations jump to the page, and build per-paper or library knowledge graphs; eight agent tools expose the same library.

What it does while she sleeps, in one card. Two things: (1) tidy the element memory — merge synonyms only when the model agrees, trim descriptions, prune weak links, propose analogies for the user to confirm, with a backup before every write and a 15%-of-library cap per pass; (2) dream — stitch her own past experiences (plus props from the element memory) into a short 3–6 sentence story, leave one line on her desk as a note labelled "this is a dream, not something that happened". The dream lives in its own file and never enters her memory or her personality prompt. Requires @ssamurias/dsh-fish for her event stream and dsh-memory-brain for the element library; model-approved merges and dreams need a local Ollama model (or a paid API key).

She keeps the questions your chats left unanswered, then goes and looks them up later. A line she asked you that ended in "?" and never got an answer is stored as a hanging question; on a schedule inside a daily window (08:00–23:00, five a day by default; an optional mouse/keyboard-idle gate is off by default) she picks the oldest one, searches the web and Bilibili, reads what is actually readable, distils it into two or three sentences and leaves a note on her desk. Questions about its own plugins are skipped and left for you. Read-only on her events: nothing is written to her memory, her growth is untouched, and dsh-fish needs no patching. Requires the @ssamurias/dsh-fish persona plugin for her event stream and a local Ollama model; a search API key is optional.

Object memory for DSH: each object is broken into fourteen kinds of smallest elements (shape, material, state, part, function...), observed links are stored apart from inferred ones, and analogies stay as questions until the user answers.

ArcVista 观界 —— DSH 内的架构观测台：本地项目、Git 克隆或批量 Git 导入，架构图、安全守护、知识图谱、复杂度与快照对比

Long-term associative memory for DeepSeek Harness: a local plain-text vault of raw episodes, typed memory cards and entity pages, configured from 设置 → 记忆图谱, and a Memory tab inside a conversation that draws what that session remembered. No build step; the

Memory for DeepSeek Harness with five sections (memories, tree, profile, graph, inbox), a rule-based capture policy that decides what to keep and what to drop, and hybrid BM25 plus vector retrieval over parent and child chunks, backed by twelve agent tools that read and write the same local files.

Codebase knowledge graphs for DeepSeek Harness: seven graphify_* Agent tools, a /graphify command, and a Graphify page build and query a project graph locally with AST parsing (no API key), plus path/explain/god-node lookups and wiki/HTML/SVG/GraphML/Obsidian exports. Requires the graphify CLI (graphifyy); only full document/PDF/image extraction needs an LLM key.

A work assistant for WeChat: it records what you tell it into a SQLite task ledger, ranks items by urgency, reminds you on schedule, extracts people and their relations from your notes, and hands tasks to separate assistant sessions. Ships its own WeChat bot channel (scan to log in; private chat only) and a full-page dashboard.

Brain-shaped relationship graph viewer for DeepSeek Harness with a Markdown knowledge-base pipeline that imports documents and builds the graph. The viewer ships demo data and needs no Python; rebuilding the graph from your own notes needs Node.js 20+ and Python 3.8+ and runs from the command line.

将 Graphify 原版代码知识图谱深度集成至 DeepSeek Harness（DSH），支持项目自动索引、实时增量更新、交互式可视化、扫描范围配置及 AI Agent 图谱查询。Native Graphify integration for DSH Desktop, featuring automatic code knowledge graphs, original interactive visualization, live updates, and Agent tools.

A long-term graph memory plugin for DeepSeek Harness (DSH), powered by Neo4j.

Staleness keeper for the Codebase Memory knowledge graph: it compares the graph Branch node head_sha with git rev-parse HEAD and reports an exact behindBy, rebuilds only the stale projects through the codebase-memory-mcp CLI so the MCP tool 60-second cap does not apply, watches each project for edits, and mirrors the same state into a settings card and a REST control surface.