dsh-plugin-academica
Academica scientific, healthcare, SEC, provider-market, reimbursement, and market-access MCP bundle for DeepSeek Harness and Pi.
46 results
Academica scientific, healthcare, SEC, provider-market, reimbursement, and market-access MCP bundle for DeepSeek Harness and Pi.
Git source-control sidebar for the DeepSeek Harness web UI: repo init, staging, commit/push/pull, branch & remote management, AI-generated Conventional Commits messages, and a commit-history graph.
Hybrid memory plugin for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md, read on demand, zero context cost) + L2 searchable knowledge base (one-fact-per-file, SQLite FTS5) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and approved Agent Hub documents. No automatic injection. Data lives on D drive, never C.
dsh (DeepSeek Harness) 跨 agent 信箱插件:让 dsh 会话内的 agent 通过 agent-mailbox 与本机其他 agent(Claude Code / OpenCode / Hermes…)互发消息、收任务卡、卡动即唤醒。零 npm 依赖,Node 22 即装即用。
Native adaptive intelligence layer for DeepSeek Harness: memory, skills, /learn, background review, and curator — no Hermes or Python dependency.
CentricMem Agent Skill package for the hosted librarian. GitHub package name centricmem-skill; skill folder centricmem-agent. Install: npx skills add zeyu-j/centricmem-skill --skill centricmem-agent -y
Free security audit for Linux servers — no API keys, no paid tools. Scans for viruses (ClamAV), rootkits (rkhunter + chkrootkit), SSH brute force, crypto miners, exposed credentials, and open ports. 1
DeepSeek Harness Telegram mobile remote: workspace→session, /last context, /model — dsh-plugin
DSH ↔ WeChat bridge: inbound dispatch (WeChat → DSH agent, persistent per-cwd session pool) + outbound push (task progress → WeChat via hermes send, zero-LLM). 微信 ↔ DSH 双向桥:入站调度 + 出站推送,常驻会话复用。
Hermes-style bounded curated memory for DeepSeek Harness (out-of-tree plugin)
Import chat history and memory from other AI agents (Claude Code, Codex CLI, Gemini CLI, Aider, Cline, OpenCode, Hermes Agent, OpenClaw) into DeepSeek Harness
DSH Web GUI 右侧 Token 面板:上栏额度剩余(内置 Token Harbor 额度查询引擎,Kimi Coding/DeepSeek/Codex Plus),下栏合并 token 用量(cc-switch 代理流量 + Codex/Kimi Code/Pi/Hermes 本地记录增量同步 + DSH 实时记录),按模型分类、按时间截取、无价格。无需额外启动本地服务。
DSH-native persistent memory and safe session-aware retrieval plugin.
Standard handoff protocol so DSH never restarts itself: a host plugin that files a JSON reset request for an external ops agent (e.g. Hermes) to execute preflight-snapshot → restart → health-check → recover, then delivers the result back to the requesting session.
Tiered task queue for DSH↔Hermes coordination: queue.json is the single source of truth; tasks are enqueued by DSH mechanisms (review/lesson/reset) and consumed by the Hermes-side cron with a lease/claim model. Also provides the busy-mutex for serializing Hermes calls from the approve fast path.
Nous Portal free-tier provider for dsh: Portal OAuth (device-code) agent-key lifecycle behind an OpenAI-compatible harness route
Keyless MCP server providing web_search, web_extract and 7 page_* real-browser (CDP) tools for DSH and any MCP client. No API keys required.
Pre-send verification for deliverables: opens the real file to verify row and dedup counts, scans for placeholder residue, diffs incremental files against their stated baseline, and logs the batch in a ledger with candidate vs sendable counts kept separate.
Deterministic fact producers for security auditing: which deleted code came from a security fix, and which changed symbols no test ever executed.
Project handoff skill: a dated handoff.md per project — current state, decisions with reasons, pitfalls as symptom/cause/fix, actionable next steps — so any fresh session resumes without archaeology. Bilingual EN/CN.
为 DeepSeek Harness 带来分层记忆(全局 / 用户 / 项目 / GIT 分支 / 每日)与自我进化(经验沉淀 + 技能自动创建)和技能管理、待办管理、CLI 调度(kimi/codex/grok/hermes 等外部 AI 统一调度)、临时信息便签,带 WebUI 管理界面。Hermes-style long-term memory, self-evolution, skills, todos and external CLI agent dispatch for DeepSeek Harness. 本构建另内置三份记忆运维技能(压缩 / 整理 / 注入轨毒源取证)。
Complaint-driven competitor research: enumerate competitors, extract features/pricing/positioning plus cited user complaints from reviews, forums, and issue trackers, cluster the complaints, and deliver a comparison table with copy-worthy and skip lists.