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Bundle

memory-eternal

记忆核心（Memory Eternal）：自研的 DeepSeek Harness 记忆插件，不移植任何既有记忆框架——对话结束后自动沉淀知识卡到本地 Markdown Vault（自研去重、自研 CJK 检索、可 git 管理），设置页提供图形化知识库（统计 / 搜索 / 知识图谱 + 侧边栏一键弹窗），Agent 通过 memory_recall 工具按需召回历史上下文。零人工干预。

EternalNight9966
Bundle

dsh-obsidian-assistant

DeepSeek Harness plugin (Cordis toolset) for reading, searching, and editing a local Obsidian vault, with optional Local REST API integration.

iamzcr5
Bundle

dsh-plugin-knowledge-graph

DeepSeek Harness plugin: a read_graph tool backed by a codebase knowledge graph (CONTAINS / EXPORTS / IMPORTS / IMPORTS_SYMBOL).

Luke-Yong5
Bundle

gitlearnos

Evidence-driven learning memory and automation for Git-native AI agents

Guojiz5
Bundle

dsh-macos-desktop

Retro macOS (System 7 / Mac OS 9) desktop UI for DSH web: chat, files, terminal, browser, docs and knowledge base inside one pixel desktop

Taylor-Cat4
Bundle

@getnote/dsh-plugin

在 DeepSeek Harness 中用自然语言搜索、保存和阅读得到大脑笔记

iswalle4
Bundle

@akslcw/dsh-negative-ledger

Agent negative-knowledge ledger for DeepSeek Harness: records failed paths with evidence hashes and retry conditions, auto-invalidates on evidence change.

akslcw4
Bundle

dsh-wm

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.

WayneJin09184
Bundle

@deepseek-ai/dsh-client-ui-obsidian

Host-only Obsidian integration for DeepSeek Harness: 25 on-demand vault, knowledge, attachment, link, editor, and command tools with an authenticated local IPC companion.

gxpppp4
Bundle

dsh-deeptutor

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).

TecFancy3
Bundle

@detpecca/dsh-llm-wiki

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

detpecca3
Bundle

dsh-codebase-memory

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.

andyfan10943
Bundle

dsh-context-mode

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).

pharaohnie3
Bundle

@staff-os/dsh-workbench

Enterprise workbench capabilities for the DeepSeek Harness — AI employees, knowledge bases, skills, MCP servers and plugins, all managed from local state

staff-os3
Bundle

roblox-devforum-mcp

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.

EL4CTEO3
Bundle

dsh-teacher

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.

Yihong893
Bundle

dsh-plugin-wiki-skills

The claude-obsidian-derived knowledge-suite skills (wiki, wiki-ingest, wiki-query, wiki-lint, save) as a DeepSeek Harness plugin, with attribution.

Lion-12093
Bundle

dsh-graphify

Native Graphify knowledge graph plugin for DeepSeek Harness (DSH)

QuantumKuba3
Bundle

auto-pwa

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.

BHXiang3
Bundle

@deepseek-ai/dsh-ragflow

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

staff-os2
Bundle

dsh-agent-memory

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.

jonah7912