@eqman00003/knowlp-rag
KnowLP-RAG: dual knowledge-graph retrieval for Markdown notes — DeepSeek Harness (dsh) bundle: MCP server + native Cordis plugin
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KnowLP-RAG: dual knowledge-graph retrieval for Markdown notes — DeepSeek Harness (dsh) bundle: MCP server + native Cordis plugin
A structured multi-panelist review workflow for the DeepSeek Harness: N panelists score in isolated subagents blind to each other, a chair reconciles disagreement, an independent critic audits the process.
Unit conversion toolbox for DeepSeek Harness (dsh): length, mass, temperature, area, volume (incl. cooking), speed, time, data sizes (decimal MB vs binary MiB), data transfer rates (Mbps vs MB/s), acceleration (m/s², g-force), illumination (lux, foot-candle), pressure, energy, angle, frequency, power (mechanical/metric/electric horsepower), force, torque, typography (px/pt/em/rem), fuel economy (mpg ↔ L/100km) — zero runtime dependencies
DSH SuperAdvisor: on-demand second opinions with per-call human approval
Obsidian 第二大脑(移植自 obsidian-second-brain)
经管期刊/工作论文监控推送插件(经济学垂直):arXiv 多类目 API + NBER RSS + 中文经管期刊(世界经济/中国农村观察/财贸经济/中国人口科学/经济管理)抓取 → 关键词过滤 → dry-run/Webhook 推送(含本地 mock 集成测试)→ 去重持久化 → 定时简报(schedule_create 协议端到端验证)→ 运行时自定义源。含真实 dsh-tools 插件树加载探针。
Evidence-driven system architecture reconnaissance for DeepSeek Harness
Every second there is a 1-in-1000 chance that Foxy (Withered Foxy) from Five Nights at Freddy's 2 jumpscares you in the DeepSeek Harness web UI: a full-screen scare plus the iconic scream.
Ask DeepSeek to falsify a file or gate a PR. Receipt: PASS / PASS_WITH_DEBT / BLOCK. Adjudicator, not a second opinion. Green lint is not a ship.
DSH package manager plugin: install dsh-bundle plugins as profile dependencies and hot mount/unmount their bundle patch rows through the official watchUserPatches cordis.patch.yml reload path — no restart, no workspace/.venv second pipeline.
DeepSeek Harness plugin that bridges to external AI models (Codex, Claude, GPT, ...) for second-opinion code review, adversarial review, and task delegation.
Beav Creator for Xiaohongshu (RED/RedNote), social-media AI operations, content research, copywriting, images, audio, and video in DeepSeek Harness. 小红书与社媒AI运营。
DeepSeek Harness client plugin: adds an 'Invert selection' button to the fetch-models dialog of the Models settings section, so only the rows that are already in the model list stay checked on a second fetch + add pass.
Running-turn TPS badge for DSH Web: live tokens-per-second inside the Deep diving status row
Remind and block stale tool work until todo_write is reconciled in DeepSeek Harness
WikiBridge:DSH 与 Obsidian vault 的知识库桥接 —— 约束工具(wiki_search/read/write)+ 自动词典检索 + 持久化配置
flomo (浮墨笔记) integration for DeepSeek Harness: configure your flomo API URL / API Key in the web settings panel, then let any agent send notes, memos, and summaries straight into flomo via the flomo_send tool
旁路捕获窗 + /recall 引擎:把想法投进一个安静的独立新会话,压缩当前会话最近 10 句作为背景(不进主线上下文、不切主线视图)
One-click / auto model sync for DeepSeek Harness providers — reconciles stored model lists against each provider's /v1/models endpoint, with a Settings page toggle and conversation-open auto-sync.
DSH web plugin: two-step inline archive on workspace sidebar rows — one click arms a red confirm, the second archives; archive is no longer buried in the ⋮ menu. · 工作区侧边栏行内两击归档:点一次变红确认,再点即归档,归档不再藏在 ⋮ 菜单里。
Starship-bridge orchestration for DeepSeek Harness: the captain issues plain-language orders from the bridge; the XO drafts verifiable missions; away-team subagents (recon/engineer/medic/scribe) execute in isolated workspaces with evidence-based acceptance and an append-only campaign ledger.
DeepBrain (深脑) plugin for DeepSeek Harness: give your agent an organization's second brain — judgments with evidence chains, verbatim-verified quotes, people's historical positions, and 200+ analysis methods it can borrow
A dsh policy plugin that gates kubectl writes by kubeconfig context: hard-deny irreversible verbs outside local clusters, ask for the rest.
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。