dsh-obsidian-assistant
DeepSeek Harness plugin (Cordis toolset) for reading, searching, and editing a local Obsidian vault, with optional Local REST API integration.
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DeepSeek Harness plugin (Cordis toolset) for reading, searching, and editing a local Obsidian vault, with optional Local REST API integration.
DeepSeek Harness plugin: a read_graph tool backed by a codebase knowledge graph (CONTAINS / EXPORTS / IMPORTS / IMPORTS_SYMBOL).
Evidence-driven learning memory and automation for Git-native AI agents
Retro macOS (System 7 / Mac OS 9) desktop UI for DSH web: chat, files, terminal, browser, docs and knowledge base inside one pixel desktop
在 DeepSeek Harness 中用自然语言搜索、保存和阅读得到大脑笔记
Auditable, workspace-local project wiki for DeepSeek Harness with a native Web view
Agent negative-knowledge ledger for DeepSeek Harness: records failed paths with evidence hashes and retry conditions, auto-invalidates on evidence change.
Playable world-model toolkit for DeepSeek Harness: look at frames, compare pred vs GT, watch the action track, name the 3D / pixel / latent route, and RSI the research loop.
Host-only Obsidian integration for DeepSeek Harness: 25 on-demand vault, knowledge, attachment, link, editor, and command tools with an authenticated local IPC companion.
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).
DeepSeek Harness plugin — manage an LLM-Wiki knowledge base from the agent: wiki_search / wiki_read / wiki_stats / wiki_validate / wiki_fix / wiki_errorbook / wiki_ingest
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.
DSH 多对话思维导图与静态知识图谱
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).
Enterprise workbench capabilities for the DeepSeek Harness — AI employees, knowledge bases, skills, MCP servers and plugins, all managed from local state
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.
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.
The claude-obsidian-derived knowledge-suite skills (wiki, wiki-ingest, wiki-query, wiki-lint, save) as a DeepSeek Harness plugin, with attribution.
Native Graphify knowledge graph plugin for DeepSeek Harness (DSH)
AI-driven partial wave analysis for DeepSeek Harness: physics-gated config editing, ctpwa fit execution, numeric evaluation, and goal-driven iterative convergence. Physics knowledge (PDG-2026) as pure functions; DSH integration as a thin pwa_* tool plugin.
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
Obsidian 第二大脑(移植自 obsidian-second-brain)
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).