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Plexus

作者:pcas-io版本 0.1.2i★ –i在云端运行
注册名称io.github.pcas-io/plexus

安装

概览

作者提供的说明(英文原文)

Typed on-prem knowledge graph for AI agents — read-only for humans, write-only for agents via MCP.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://{plexus_host}/mcp

地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。

在终端中运行这条命令

claude mcp add --transport http plexus 'https://{plexus_host}/mcp'

地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "plexus": {
      "url": "https://{plexus_host}/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "plexus": {
      "type": "http",
      "url": "https://{plexus_host}/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://{plexus_host}/mcp

地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 pcas-io 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    这个地址需要填入你自己的账户信息,所以我们无法替你检查

  • – 不适用

    使用 OAuth 登录

    这个地址需要填入你自己的账户信息,所以我们无法替你检查

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7230 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7230 个服务器的 11% 更新
  • 基础检查结果等于或优于此分类中其他 7230 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Plexus 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.2)于6个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

plexus (_graph)

A typed, on-prem knowledge graph for AI agents. Read-only for humans, write-only for agents, spoken over the Model Context Protocol.

Part of the pcas.io product line.


TL;DR

Knowledge management has been a document sport for twenty years — folders, notes, wikis, editor wars. plexus inverts that.

In plexus, every piece of information is a typed entity — concept, decision, fact, project, task, document, skill, … — with hard, temporally-valid edges between them. No free-form text, no forgotten tags, no "I'll clean that up later." Writing and linking happen exclusively through MCP — from your agent. The dashboard shows you the graph; it has no edit buttons.

That gets you three things:

  1. Your agent doesn't have to ask you — it just builds, with strict kind-and-relation discipline.
  2. The graph never goes stale, because lint, supersede, and provenance are part of the workflow.
  3. You can share a single idea, not your graph — passkey-gated one-shot links that burn on first click.

Runs in Docker Compose on your own hardware. Apache-2.0 licensed.

Think of it as a wiki, but for LLMs

Traditional wikis are built for human readers: free-form prose, hand-curated links, a tree of pages that rots the moment you stop grooming it. Put an LLM in front of one and the first thing the LLM does is ask you to summarise it.

plexus reverses the audience. The LLM is the reader and the writer. Each page is a typed record instead of a paragraph, each link is a named relation instead of a hyperlink, and each edit is an atomic MCP call instead of a markdown diff. The UI shows you the same graph your agent sees — but your agent does the curation.

This is the same pattern Andrej Karpathy sketched in his "The LLM wiki" gist (April 2026, 5000+ stars): instead of stateless RAG against raw documents on every query, an LLM *compiles* knowledge into a structured, cross-referenced wiki once and keeps it up to date. plexus is that pattern on infrastructure:

Karpathy's LLM wikiplexus
Raw sources (unchanging)External documents the agent reads with web_fetch, file I/O, …
Wiki (typed markdown, curated)Typed entities + named edges in a graph the agent writes via MCP
Schema (conventions in CLAUDE.md / AGENTS.md)list_kinds + list_relations registries, enforced at the MCP boundary
ingest → compile → reflect → query → lintsearch_entities → save_entity / update_entity → link_entities → get_related → lint_graph

Karpathy calls the gist an "idea file" — a vendor-neutral prompt pattern. plexus gives it a production backend: typed storage, optimistic locking, temporal edges, multi-user auth, audit log.

What that buys you:

  • One source of truth across sessions. Your agent loads the context at the start of every conversation. You don't re-explain yourself.
  • One source of truth across agents. Claude web, Claude Code, Claude Desktop, Le Chat, Gemini — whoever connects speaks the same graph.
  • One source of truth across humans. Multi-user out of the box, scoped tokens per person, shared project containers, audit log.

Contents

Understand it

  • Use cases — seven concrete scenarios plexus is built for

Run it

  • Quickstart — Docker Compose up in under two minutes
  • Create your admin user (first run) — the bootstrap walk-through, including where to find the admin token

Wire an agent to it

  • Connecting an agent — Claude web / Code / Desktop snippets
  • Agent system-prompt template — copy-paste block that makes an LLM use plexus correctly
  • Example: ingesting a source — a Karpathy-style LLM-wiki ingest walked end-to-end against plexus

Reference

  • MCP tools · What the graph knows · Authentication · Sharing · Search

Operate it

  • Architecture · Configuration · Self-hosting · Development · Security

Use cases

Persistent agent memory. Every conversation starts with context_load, so your assistant remembers which ADRs you've already made, which projects are live, and which tasks you finished yesterday. No "as you might recall…" prompt engineering.

Cross-agent handoff. Claude Code finishes a feature, writes a handoff-fact. Next morning Claude web picks up the same context, knows which commits shipped, what's still open. Zero re-briefing.

Team memory for small groups. Spin up one instance, issue scoped personal tokens per person, share a project container. Read-only dashboard for everybody, agents write for everybody. No Notion, no wiki, no Slack-archaeology.

Decision archaeology. Every ADR is a first-class decision entity with supersedes / derived_from edges. A year later you can trace *why* the F-1 engine stayed, *what* the Apollo 13 post-mortem triggered, and *which* design superseded which. Time-travel queries via get_related(as_of: "2026-01-01").

Incident → fix loop. A production incident becomes a fact with severity: high. The mitigation ADR links triggered_by that fact. The runbook documents the ADR. When you hire someone six months later, they read one graph walk instead of twelve Slack threads.

Literature / research digest. An agent ingests a paper, creates a note for the source, extracts concept and fact entities, attaches mentions edges. You query the graph by topic; every claim has provenance back to a derived_from note.

Private "second brain" that an agent actually uses. Capture with inbox_item, promote to task/concept/fact during a weekly review, archive with supersedes. Your notes are structured without you having to touch a form.


Quickstart

# 1. Clone

git clone https://github.com/pcas-io/plexus.git cd plexus

2. Configure — generates .env from the template with fresh 32-byte

secrets for all four required fields:

PLEXUS_ADMIN_TOKEN ← you'll use this once, to bootstrap

PLEXUS_OAUTH_SECRET ← OAuth state signing

PLEXUS_COOKIE_SECRET ← dashboard session cookie signing

PLEXUS_SURREAL_PASS ← SurrealDB root password

scripts/bootstrap_env.sh

3. Start

docker compose up -d

4. Open the dashboard

open http://localhost:8787

The admin token you'll need for the very first login is in .env:

grep '^PLEXUS_ADMIN_TOKEN=' .env

Copy that hex value — the next section walks through the one-time bootstrap.

Full configuration reference is in .env.example. Deployment notes for Coolify, plain Docker, and Kubernetes are below.


Create your admin user (first run)

plexus boots on an empty database with no user. You'll use your PLEXUS_ADMIN_TOKEN once to create the first admin account, then it steps aside.

1. Find your admin token

The scripts/bootstrap_env.sh script you ran in the Quickstart wrote the token into your .env. Read it back:

grep '^PLEXUS_ADMIN_TOKEN=' .env

PLEXUS_ADMIN_TOKEN=<64-char-hex>

Copy the hex value after the =. You'll paste it *once* into the dashboard; after the bootstrap, plexus rejects the admin token on MCP and on normal login.

2. Walk the flow
#What you doWhat plexus does
1Open http://localhost:8787Shows the login form
2Paste the admin token, click ContinueRecognises "admin token + no admin user exists" → redirects to /bootstrap
3Enter an admin name (letters, digits, _, -, .), Create adminCreates the admin user, shows a new personal token pt_… once. Copy it.
4Click Continue to loginBack to /auth/login, pending-auth cookie set
5Paste the pt_ tokenShows the passkey-enrollment screen
6Register passkey now, confirm with Touch ID / Face ID / Windows Hello / YubiKeyStores the passkey, then rotates the `pt_` token and shows the new one once. Overwrite your password-manager entry.
7Sign in with new token, paste new token, tap passkeyLands you on /home

From here on, the admin token is only used for admin-plane endpoints (backup, reset). It's rejected on MCP and on normal dashboard login.

Why the rotation?

The initial tokens (admin + first pt_) are one-shot invitation codes. If anything intercepted them — mail, chat, a screen share — rotation makes that capture worthless the moment you sign in. For additional users you create via /users, the same admin→user handoff + first-enroll rotation protects them the same way.

Where to go next

The /help page inside the dashboard covers everything else: MCP integration, token scoping, passkey management, share links, graph view.


Connecting an agent

plexus speaks Model Context Protocol over POST /mcp. Any MCP-capable client can connect.

Claude.ai (web)

Settings → Integrations → Add Custom Integration → https:// /mcp. plexus handles OAuth automatically — you'll see a consent screen once.

Claude Code (CLI)
claude mcp add plexus --transport http \

--header "Authorization: Bearer pt_YOUR_TOKEN" \ https:// /mcp

Claude Desktop

In ~/Library/Application Support/Claude/claude_desktop_config.json:

{

"mcpServers": { "plexus": { "type": "http", "url": "https:// /mcp", "headers": { "Authorization": "Bearer pt_YOUR_TOKEN" } } } }


MCP tools

plexus exposes 15 tools.

ToolPurposeScope
save_entityCreate a new entitywrite
get_entityFetch a single entity by idread
list_entitiesList with filters (kind, context, status)read
search_entitiesBM25-ranked full-text search with optional highlightingread
update_entityUpdate with optimistic locking (expected_version)write
archive_entitySoft-delete (status → archived)write
link_entitiesCreate a temporal edge between two entitieswrite
unlink_entityInvalidate an edge (valid_to = now)write
get_relatedTraverse edges with direction + point-in-time filterread
list_kindsQuery the kind registryread
list_relationsQuery the relation registryread
context_loadSession warm-up — 20 most recent entities + registriesread
lint_graphOrphans + duplicate-title checkread
list_skillsCompact index of all skillsread
load_skillLoad one skill by name, trigger phrase, or BM25 fallbackread

Every tool enforces scope at the handler boundary: requireWrite(), checkContext(), checkKind(), and rejectSecret(). kind=secret is unreachable via MCP and filtered out of every read response.


Agent system-prompt template

Paste this block into any MCP-capable agent (Claude web custom integration, Claude Code CLI, Claude Desktop, Le Chat, a custom SDK harness). It's written tight on purpose — every line earns its place. Model-agnostic

只显示了开头部分;其余内容请在仓库中阅读

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