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SVerITG/Metis

SVerITG/Metis

Private local research second brain: project-aware memory, ci
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add metis -- npx -y metis
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
4 ★ · SVerITG/Metis · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 4 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 SVerITG/Metis;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Metis — The Research Cortex

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

AI built around researchers. Not a prompt box — a way of working.
Your papers, meetings, ideas, notes and journal — each one linked to the rest.
A research companion that reviews its own work and gets sharper every week.
It's 7:20. You open the dashboard. The morning brief reads:
"Three papers matching your configured topics landed overnight — one directly challenges a working hypothesis in your field. Your literature coverage in methods has grown to 84%. I've cross-referenced all three with your knowledge graph, connected them to your meeting note from Tuesday, and flagged four passages for your review. One tracked analysis is approaching a key deadline."
No prompt. No setup. Your research, connected — every morning.
🟢 Actively developed.  Latest: plan a run of days on one row · a Work view ordered by what you actually touched · and a month of controls that rendered perfectly and did nothing, found and fixed.   See what's new ↓
☁️ Light MCP server only
You ask Claude to build a monitoring dashboard for your current project. Metis recalls the dashboard you built eighteen months ago, your preferred layout, and your standard indicators. The right specialist agents deliver exactly what you need — in your style, to your domain's standards — without any re-explaining.
🔗 Cross-pollination The moment everything connects
You capture a quick idea about a novel surveillance approach. Within seconds, Metis surfaces three things you'd forgotten existed: a methodology paper from fourteen months ago that used a similar approach, a meeting note from March where your field partner described the same barrier, and an open question you logged after a conference. You hadn't connected any of it. Metis did. The grant section writes itself.
🌐 Metis OS The full picture — in development
Your calendar shows a meeting with a research collaborator. Yesterday you captured an idea about a new method. Metis has your April transcript with this person and this week's new papers. A briefing appears before you leave. After the meeting, you ask for a five-day course on that topic from the latest research. By evening, it's ready.
One install, any field. Metis ships domain-agnostic and builds
your field's knowledge layer from your own documents during setup —
or from a downloadable background pack.
> ### 📚 Knowledge layers are built, not bundled
> Metis ships with the machinery to build a searchable knowledge layer and none of the content. Point it at a folder of your own papers, reports and guidance and it indexes them into a corpus you can ask grounded, cited questions against. Prefer to start with something? Install a **background pack** — an index over public sources, distributed as vectors and a manifest, never as the source documents.
---
See it in action
The dashboard at a glance — your projects, tasks, the morning brief and what to focus on, in one calm view.
A tour through Metis — the system tab and every part of your Research Cortex: today, work, knowledge, meetings, ideas, learning and the control room.
The silent layer — one click on the morning brief opens Claude Desktop, primed with your work, ready to brainstorm.
Metis reviews its own work and proposes its own improvements — the self-improvement loop, in plan mode.
---
Why researchers trust it
- **📚 It cites your own sources.** Knowledge answers are anchored in *your* indexed library, with document- and page-level citations — not the model's guesses. Your library grounds the answer; it doesn't fence it in. Metis still brings in recent literature, guidelines and wider knowledge where they matter, and tells you which is which — so anything worth citing that you don't have yet becomes a paper you can add.
- **🔗 It connects everything you know.** Every paper, meeting transcript, idea, note, journal entry and task is linked to the rest of your work. The grant you write today surfaces a method paper from last year and a meeting note from March — you never go looking; Metis brings it to you.
- **🧠 It routes to the right expert.** Ask in plain language, and Metis hands the work to the right one of 30+ specialist skills — Librarian, Methods Coach, Writing Partner, Meeting Memory, Epidemiologist, Course Builder, and more.
- **🔁 It improves itself.** After every task it logs what worked and what fell short; each week it drafts improvements to its own behaviour and waits for your approval. Most MCP servers are static — Metis gets sharper the longer you use it.
- **🚫 It refuses to invent.** Ask about something that isn't in your library and Metis tells you so, instead of fabricating a plausible-sounding answer. (An automated test covers the retrieval half of this: that an in-corpus question returns the right document with its page, and that an out-of-corpus one scores markedly weaker. Whether the model then says so in words is not yet asserted by a test.)
来源
awesome · https://github.com/SVerITG/Metis
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