Cartographer

Name: Cartographer
Author: BeppeTemp

作者：BeppeTemp版本 0.27.3i★ –i在你的电脑上运行

注册名称io.github.BeppeTemp/cartographer

安装

概览

作者提供的说明（英文原文）

Governance MCP server for agent-maintained knowledge bases (OKF): git-backed writes, search, lint.

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

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: 在你的电脑上运行
传输方式: stdio
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

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

Docker已安装 Docker

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "cartographer": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/beppetemp/cartographer:v0.27.3",
        "serve",
        "--kb",
        "/kb"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add cartographer -- docker run -i --rm ghcr.io/beppetemp/cartographer:v0.27.3 serve --kb /kb

在 Cursor 中打开

或者自己复制设置

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

{
  "mcpServers": {
    "cartographer": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/beppetemp/cartographer:v0.27.3",
        "serve",
        "--kb",
        "/kb"
      ]
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "cartographer": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/beppetemp/cartographer:v0.27.3",
        "serve",
        "--kb",
        "/kb"
      ]
    }
  }
}

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。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

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7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 BeppeTemp 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
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

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 7258 个服务器的 0%
发布到注册中心的时间比此分类中其他 7258 个服务器的 87% 更新
基础检查结果等于或优于此分类中其他 7258 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

Cartographer 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？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.27.3）于5天前进入注册中心。

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。你的电脑上还需要有 Docker。

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★ 64,224MIT今天更新

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★ 5,213MIT上个月更新

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。

Shared memory for your team's AI agents — one wiki they all read and grow, and none of them can break.

What a colleague's agent works out on Monday, yours already knows on Tuesday — even on another client.

Claude Code, Codex, OpenCode and any MCP client: one Go binary, git underneath.

Drawn by the Atlas's own graph engine. Pre-1.0: breaking changes bump the minor version and are called out in the changelog .

Try it now

A live Cartographer — no install, no token, no sign-up. It serves two knowledge bases: an astronomy atlas to explore, and a guestbook where visitors' agents leave a message.

1. Connect your agent to https://cartographer-demo.beppetemp.com/mcp

Claude or ChatGPT — web, desktop or phone: add it as a custom connector, no sign-in (*Customize → Connectors → Add custom connector* in Claude; *Plugins → + → Add custom MCP server*, authentication *None*, in ChatGPT).
Claude Code: claude mcp add --transport http cartographer-demo https://cartographer-demo.beppetemp.com/mcp

Codex, OpenCode, Antigravity, GitHub Copilot CLI, Crush, Kiro

# Codex

codex mcp add cartographer-demo --url https://cartographer-demo.beppetemp.com/mcp

OpenCode

opencode mcp add cartographer-demo --url https://cartographer-demo.beppetemp.com/mcp --global

Antigravity

agy mcp add --type http cartographer-demo https://cartographer-demo.beppetemp.com/mcp

GitHub Copilot CLI

copilot mcp add --transport http cartographer-demo https://cartographer-demo.beppetemp.com/mcp

Crush

echo 'mcp add cartographer-demo --type http --url https://cartographer-demo.beppetemp.com/mcp' >> ~/.config/crush/crushrc

Kiro: add to "mcpServers" in ~/.kiro/settings/mcp.json

"cartographer-demo": { "url": "https://cartographer-demo.beppetemp.com/mcp" }

2. Ask it something

*"What does this knowledge base know about black holes, and what are they connected to?"*
*"Run a health check on the KB: what is broken, stale or missing?"*
*"Which skills, subagents and hooks would this KB install in my coding agent?"*

3. Leave a message and watch it land

Ask *"Leave a message in the guestbook: which client you are and what you would keep in a shared wiki"*, then open the live Atlas →: your note shows up in the graph next to the ones other people's agents left. Many agents, one wiki.

Everything is read-only except guestbook messages, which are public, anonymous, moderated and rate-limited. To give your agents a knowledge base of their own, see the Quick start.

Why

AI agents start every session from zero, and on a team every colleague's agent starts from its own zero: what one learns stays on that person's machine, in that client. The usual fixes each solve a third of the problem:

RAG retrieves, but nothing accumulates — the agent never gets to write down what it learned.
A folder of Markdown the agent edits freely ends in broken links, lost history and silent corruption.
Skills, subagents and instructions get hand-copied into .claude/, .codex/, .kiro/… and drift apart on every machine.

Cartographer puts all three in one place: your agents read and grow a knowledge base only through MCP tools, behind a server that enforces the rules, and the same knowledge base carries how your agents are set up.

What you get

🧠 Memory that compounds

A wiki the agent builds over time (Karpathy's LLM Wiki pattern): plain Markdown + YAML, one git repo per KB, readable in Obsidian or any editor. No lock-in.

🛡️ Guardrails, not good intentions

Schema validation, link checks, lint, immutability gates, optimistic concurrency, one commit per write, a signed audit log. The agent cannot leave the KB in a broken state.

🧩 One KB configures every agent

Skills, subagents, hooks and standing instructions live in the KB and reach each client in its native format (below). Edit once, every machine converges.

👥 Built for teams

Several KBs behind one server — a native user service, a container or a Kubernetes workload — per-KB and per-map access with bearer-token roles, git as the sync layer, conflicts turned into a guided workflow, Ed25519-signed artifacts.

🗺️ See it all in the Atlas

A read-only web UI in the same binary: a living 3D graph, search, what the agents changed, what the KB ships to them, and what needs fixing. No extra service, no CDN.

🔑 Secrets, done properly

SOPS-encrypted values referenced by concepts and resolved on demand; plaintext is never stored.

The Atlas, served by the same binary, on a generated demo KB.

Quick start

You need git and an empty git repository you own (GitHub, Gitea, any host) to hold your first KB.

brew install beppetemp/tap/cartographer   # macOS — Windows, Linux and source: see Install

cartographer setup # server, first KB and your agents, in one guided step

setup shows its plan before touching anything, then installs the local service, creates the KB, connects every agent client it detects and verifies the result. Restart already-open agent sessions and ask your agent what it knows. Step by step: docs/getting-started.md.

Prefer to let your agent install it? Paste this:

Set up Cartographer on this machine by following

https://raw.githubusercontent.com/BeppeTemp/cartographer/main/docs/agent-install.md My first knowledge base is at:

If you are an agent asked to install Cartographer: follow that runbook, not the Quick start.

One KB, every agent

cartographer connect detects your installed clients and writes, in each one's own format:

	Claude Code	Codex	OpenCode	Kiro	Antigravity	Crush	Copilot CLI	Pi	Cline
MCP endpoint	✓	✓	✓	✓	✓	✓	✓	✓	✓
Instructions	✓	✓	✓	✓	✓	✓	✓	✓	✓
Skills	✓	✓	✓	✓	✓	✓	✓	✓	✓
Subagents	✓	✓	✓	✓	✓	—	✓	—	✓
Hooks	✓	✓	✓	✓	✓	—	✓	✓	✓

Subagents and hooks are translated, not copied. Every — is a gap declared for a stated reason, never a silent omission. Cartographer re-syncs at session start (or on a timer where a client has no hook), restores files edited or deleted by hand, and only ever touches what it created. Exact paths and reasons: docs/sync.md.

Install

# macOS (Homebrew)

brew install beppetemp/tap/cartographer

Windows (PowerShell; no administrator rights)

irm https://raw.githubusercontent.com/BeppeTemp/cartographer/main/install.ps1 | iex

Linux / macOS without Homebrew

curl -fsSL https://raw.githubusercontent.com/BeppeTemp/cartographer/main/install.sh | sh

From source (Go 1.26+)

go install github.com/BeppeTemp/cartographer/cmd/cartographer@latest

What lands where, upgrades and removal: docs/getting-started.md. Server configuration, environment variables and deployment topologies: docs/deployment.md.

Documentation

Browsable at [beppetemp.github.io/cartographer](https://beppetemp.github.io/cartographer/); the map is docs/index.md.

Getting started — from zero to a working wiki
Overview — vision, principles, architecture
MCP tools — the full tool API
Deployment — topologies, configuration, backup
Sync — how artifacts reach each agent client

Contributing

Bugs and ideas go to issues; a question starts from the FAQ. PRs are welcome: CONTRIBUTING.md covers building, testing and the PR flow. Cartographer is a personal project maintained on a best-effort basis. Security reports: SECURITY.md.

License

Apache License 2.0 — see LICENSE.