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Learning assistant extension for DeepSeek Harness (dsh): DeepTutor tutoring for your agent — deep explanations, self-test questions, learning paths, personal knowledge-base search (RAG), and note archiving (HTTP/WS first, CLI fallback; auto-adapts local/remote deployment).
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在 DeepSeek Harness 中用自然语言搜索、保存和阅读得到大脑笔记
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DeepSeek Harness plugin: a read_graph tool backed by a codebase knowledge graph (CONTAINS / EXPORTS / IMPORTS / IMPORTS_SYMBOL).
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Auditable, workspace-local project wiki for DeepSeek Harness with a native Web view
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Host-only Obsidian integration for DeepSeek Harness: 25 on-demand vault, knowledge, attachment, link, editor, and command tools with an authenticated local IPC companion.
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DSH context-window relief: knowledge base (ctx_index/search), routing enforcement (deny flood tools), sandboxed execution (ctx_execute/batch Think-in-Code), and session continuity (post-compaction restore).
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RAGFlow knowledge-base retrieval capability for the DeepSeek Harness — the ctx.ragflow Service Definition, an HTTP Service Provider, and the model-facing ragflow_retrieve tool
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Agent negative-knowledge ledger for DeepSeek Harness: records failed paths with evidence hashes and retry conditions, auto-invalidates on evidence change.
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DSH plugin: official-model Honcho v3 memory plus a perspective-safe shared knowledge base
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The claude-obsidian-derived knowledge-suite skills (wiki, wiki-ingest, wiki-query, wiki-lint, save) as a DeepSeek Harness plugin, with attribution.
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DSH bundle that bridges the Codebase Memory MCP code knowledge graph into DSH and can keep indexed repositories fresh with an optional debounced filesystem watcher.
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MCP server that searches the Roblox DevForum and official creator docs so AI coding agents can debug Roblox games against real community and engine knowledge.
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Local knowledge bases with explicit, source-backed retrieval for DeepSeek Harness Web.
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Content-addressed timeline, canon and character-knowledge evidence for DeepSeek Harness
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DSH teacher plugin: Socratic tutor that leads you to answers from a markdown question set, tracks knowledge gaps in-session, and retests them on a spaced-repetition schedule.
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KnowLP-RAG: dual knowledge-graph retrieval for Markdown notes — DeepSeek Harness (dsh) bundle: MCP server + native Cordis plugin
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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.
Agent preset
Project Memory gives coding agents a single, trustworthy memory for a software repository — so they stop re-learning the same facts and stop writing conflicting "memory" files.
Agent preset
A DeepSeek Harness (DSH) community agent preset for rigorous A-share five-dimension (technical/valuation/fundamental/capital-flow/news) standardized analysis: persona, skill knowledge base, hard risk gate, deterministic Python scoring core, Tencent-first collectors. Not an investment recommendation.
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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).
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Obsidian 第二大脑(移植自 obsidian-second-brain)
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LVGL 8.4 knowledge skill pack for DeepSeek Harness (dsh): registers an offline LVGL 8.4 skill library on ctx.skills so the agent writes correct v8 API code and avoids v9 confusion.
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Skill 安装、创建、本地化与迭代维护的元技能。当用户要求安装新 skill、创建 skill、把某个能力整理成 skill、修改/更新/优化/完善现有 skill、检查 skill 能否正常使用时使用;当其他 skill 在执行中遇到突发问题(编码、路径、格式、脚本报错等)并解决后,也加载本技能,把解决方案回流到遇到问题的 skill,并把核心知识登记到 references/knowledge-base.md。
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Native knowledge context for DeepSeek Harness