159 results
Agent-driven long-term memory for DeepSeek Harness: scoped memory (global + per-workspace), layered entries (fact/knowledge/episodic), time-bucket compaction (day→week→month→year), associative recall (related chains) + memory_relate navigation (multi-hop BFS closure), auto recall injection on user messages (CJK bigram search, tail append), agent-decided content.
会话记忆 → OKF 知识沉淀插件:预测驱动的神经自我学习记忆系统。把会话中高价值内容按 OKF v0.1 规范沉淀为长期记忆,跨会话自动唤起。Session-to-OKF memory plugin with neuro-self-learning (predictive recall, uncertainty-driven capture, reinforcement feedback).
DSH plugin for DeepSeek Harness: 25 model tools across PubMed, Europe PMC, OpenAlex, PubTator3 & Semantic Scholar — cross-source unified search, article metadata, full text, citations, MeSH & ID tools, citation counts & recommendations — plus a personal literature knowledge graph with an AI-powered PubTator3 concept layer (normalized entities, curated relations, evidence-backed edges). Core PubMed capabilities originate from @cyanheads/pubmed-mcp-server; the knowledge-graph, concept and unified-search layers are original extensions.
Non-invasive SQLite hybrid memory and knowledge-graph plugin for DeepSeek Harness
dsh 插件开发知识库：DeepSeek Harness 官方文档站完整 Markdown 镜像（中英双语 184 页）+ 58 篇仓库补充开发参考 + 主题导航与 245 文件全量搜索索引；以 dsh-plugin-dev-kb 技能让 agent 在插件开发任务中自动加载定位文档。纯数据插件，零运行时依赖。
A per-conversation visual slide editor for DeepSeek Harness with AI annotations, workspace files, and shared knowledge guidance.
记忆搬家：把 Claude / ChatGPT / Claude Code 的历史记忆搬进 DeepSeek Harness —— 带逐字证据，逐条批准 | Move your Claude & ChatGPT memory into DeepSeek Harness (DSH), with verbatim evidence and one-by-one approval
Native knowledge context for DeepSeek Harness
Local knowledge bases with explicit, source-backed retrieval for DeepSeek Harness Web.
DSH 本地知识库管理插件：多格式导入、智能分块、向量索引、混合检索、rerank、快照、kbpack 迁移（设计见 DESIGN.md v2.1）
Session KB for DeepSeek Harness: full-text search across all past sessions and recall them as @references. 会话库：全文搜索历史会话，一键以 @引用 召回给 AI（session search / recall / knowledge base）.
KnowLP-RAG: dual knowledge-graph retrieval for Markdown notes — DeepSeek Harness (dsh) bundle: MCP server + native Cordis plugin
Content-addressed timeline, canon and character-knowledge evidence for DeepSeek Harness
DSH plugin: official-model Honcho v3 memory plus a perspective-safe shared knowledge base
Cross-session long-term memory for DeepSeek Harness: dual-scope SQLite memory graph, hybrid retrieval, provenance audit, and a knowledge flywheel.
Turn conversation content into knowledge cards: concepts, flowcharts, comparisons and more for Web
DSH 长期记忆插件：记忆库 + 会话蒸馏自动沉淀 + 设置面板，越用越懂你。守藏（Shoucang）单插件，panel + scheduler + 内嵌记忆技能。
3D printing & additive manufacturing capabilities for DeepSeek Harness: parametric STL generation, calibration G-code, STL/G-code analysis and toolpath rendering as model tools, plus slicing / modeling / analysis / diagnosis knowledge skills.
DeepSeek Harness plugin for organizing AI discussions into research topics, traceable knowledge cards, and reusable research materials on an interactive graph
理解任何东西技能包（移植自 Understand-Anything）
Workspace-scoped, local-first LLM wiki plugin for DeepSeek Harness.
Notes and todos as plain Markdown in one Vault folder of your choice: /ml jots into today's journal, todos come in deadline/sleep-until/anytime flavors with auto-wakeup, /ml note distills chats into a knowledge base, /ml ask answers questions from it, /ml mail reads your work inbox incrementally into a throwaway temp dir and extracts todos/reads, /ml view fuzzy-opens any file — notes stay plain files.
DSH plugin: auto-supplement QMD semantic search when the model greps/globs a knowledge-base directory
智能公文写作 DeepSeek Harness 插件——0知识库在线调用，免费10次/7天，2元/次或399元包年，GB/T 9704 38类文种。我们是一群致力于体制内智能公文写作工具垂直领域的语言学和管理学985博士团队，理想是：技术服务思想、思想服务生活。43万字知识库是你的底气，有了它，加班写材料成为过去式。 | Official Document Writing Skill for DeepSeek Harness — 38 types of Chinese official documents (请示/报告/通知/纪要 etc.), GB/T 9704 formatting, online API knowledge (0 KB bundled), free 10 calls/7 days, then ¥2/call or ¥399/year. Developed by a PhD team in linguistics & management. Write official documents 10x faster.