Persome

Name: Persome
Author: Intuition-Lab

作者：Intuition-Lab版本 0.3.2i★ –i在你的电脑上运行

注册名称io.github.Intuition-Lab/personal-model

安装

概览

作者提供的说明（英文原文）

Local-first personal memory and model server for trusted MCP agents on macOS.

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

PyPI已安装 Python 的 uv（用于 uvx 命令）

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": {
    "personal-model": {
      "command": "uvx",
      "args": [
        "personal-model",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add personal-model -- uvx personal-model mcp

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": {
    "personal-model": {
      "command": "uvx",
      "args": [
        "personal-model",
        "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。

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": {
    "personal-model": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "personal-model",
        "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。

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 Intuition-Lab 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 7259 个服务器的 0%
发布到注册中心的时间比此分类中其他 7259 个服务器的 21% 更新
基础检查结果等于或优于此分类中其他 7259 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

Persome 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（0.3.2）于4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。你的电脑上还需要有 Python (uv)。

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。

Personal Model: local-first AI memory for coding agents

Auto-playing preview · Full-quality demo and v0.3.2 release notes

Build your HUMAN.md — one evidence-linked Personal Model for Claude Code, Codex, Cursor Agent, and other trusted MCP clients.

Personal Model is an open-source, local-first long-term memory Runtime. It learns how you think and work from focused activity captured on your Mac after you grant macOS permission, then gives your AI tools inspectable context to continue work and make grounded decisions.

Runs locally on your Mac. Private by default. Yours to inspect, correct, export, and delete.

Install Personal Model · Connect your AI tool · Star Personal Model on GitHub

_Concept illustration of a mature Personal Model._

Why Personal Model

Personal Model turns focused activity from the apps you use into a portable context layer, keeps it on your Mac, and makes it available to the trusted AI clients you choose.

One memory across agents. Connect the same Personal Model to Claude Code, Codex, Cursor Agent, and other MCP-compatible clients.
Evidence, not hidden summaries. Important claims retain source receipts; new evidence can strengthen, revise, or overturn an earlier inference.
User-owned by design. Inspect, correct, export, or delete your model and data without depending on a hosted memory service.
More than chat history. Personal Model learns from focused activity after you explicitly grant macOS permissions.

Your Personal Model is your `HUMAN.md`

Personal Model connects activity into progressively deeper context:

Layer	Meaning
Point	A sourced observation or event
Line	A relationship or change over time
Face	A pattern supported by related evidence
Volume	A higher-order structure across projects or areas of life
Root	The current integrated model of you

The result is a living model of what matters now, how you tend to decide, and where your attention is moving.

Works with Claude Code, Codex, Cursor Agent, and MCP clients

Client	Connection	Setup
Claude Code	Native Personal Model installer	`persome install claude-code`
Codex CLI and IDE extension	Native Personal Model installer	`persome install codex`
Cursor Agent CLI	Native Personal Model installer	`persome install cursor-agent`
Claude Desktop	Managed stdio config	`persome install claude-desktop`
opencode	Managed local stdio config	`persome install opencode`
Other compatible clients	Generated MCP JSON	`persome install mcp-json --filename persome-mcp.json`

The MCP client guide covers prerequisites, verification, the permission boundary, transport details, HTTP fallback, and troubleshooting.

Personal Model is an MCP server used by trusted MCP clients. Other MCP servers—such

as Filesystem, GitHub, Slack, or Google Drive—are separate tools and are not

Personal Model integrations unless that path is explicitly built and tested.

Use cases

These visuals show agent workflows enabled by Personal Model. The Runtime

supplies evidence-linked local context through MCP; connected agents own task

selection and execution, and external actions still require your authority.

1. One Root — A Model of You

Thousands of moments. One evolving model of you.

Personal Model turns sourced observations into relationships, patterns, higher-order structure, and one current Root: what matters now, how you tend to decide, and where your attention is moving.

From Points to Lines, Faces, Volumes, and one Root—a living model of who you are and what matters now.

2. Same AI. Different You.

The model is the same. The person it understands is different.

Two people can give the same AI the same prompt and deserve different answers. Your Personal Model changes how an agent prioritizes, decides, writes, and acts—because it understands who it is working for.

The same prompt should not produce the same answer for everyone. Give AI a model of you.

3. One MCP — Turn coding agents into proactive agents

Your coding agent finds its own work

Connect Personal Model once through MCP. Codex, Claude Code, and other trusted agents can use the same model of your goals, priorities, working patterns, and boundaries.

A connected agent can search Personal Model for unfinished work, rank proposed next steps against your priorities, and separate local implementation from external actions that need your approval.

Continue where you left off

Work while you sleep

Install, connect, and verify

Install Personal Model, connect a trusted MCP client, then verify the local Runtime.

1. Install with your data

Requirements: macOS 13 or newer and Xcode Command Line Tools. For the shortest package-managed installation:

uv tool install personal-model

persome onboard persome model open --after 30

The distribution is named personal-model; the installed CLI is persome.

For the most explicit source-based first run:

git clone https://github.com/Intuition-Lab/personal-model.git

cd personal-model bash install.sh

After successful interactive onboarding, the source installer opens the unified local setup experience immediately.

What onboarding proves

persome onboard explains each macOS request before it appears.
Accessibility is granted to the versioned mac-ax-helper and, only when event-driven capture is enabled, mac-ax-watcher.
Screen Recording is requested only when the effective screenshot or local-OCR policy requires pixels. Personal Model never requires Full Disk Access.
On Apple Silicon, local OCR uses bundled PP-OCRv6; on Intel, it uses the macOS Apple Vision framework. Onboarding verifies the isolated worker on both architectures.
Unified localhost onboarding offers a read-only, multi-source import and builds the first model from existing Markdown history. Local folders are always available; Obsidian and Notion appear only when detected on the Mac. The same sources remain available through persome import-data; see the import guide.
It proves the final lifecycle owner and Runtime generation, then reports a fresh-capture receipt in standard daemon mode or an explicit readiness/privacy receipt for supported alternate modes such as trusted ingest.

An LLM is optional for collection and BM25 recall, but required for semantic modeling. You can configure a hosted/local provider for unattended processing:

persome llm setup

persome llm status --check

Alternatively, explicitly lend an existing coding-agent subscription to the background Runtime. The client CLI keeps and refreshes its own login; Personal Model stores only its executable path, routing policy, and a durable daily call cap:

persome llm agent setup --client codex --daily-call-limit 50 --check

also supported: claude-code, cursor-agent

persome llm status

A trusted MCP client that supports Sampling with tools can still call process_pending_model_work for a one-request, 1–10-session batch. Both paths use the connected agent allowance without exposing its OAuth token to Personal Model; the CLI bridge is the opt-in path that also powers unattended stages.

2. Connect a trusted MCP client

persome install claude-code

persome install codex persome install cursor-agent persome install claude-desktop persome install opencode

The commands above install only the MCP server. To also give background semantic stages explicit consent to use a supported coding-agent subscription, add --fund-model; the default cap is 50 model invocations per local day:

persome install codex --fund-model --daily-call-limit 50

also supported: claude-code, cursor-agent

persome llm agent disable revokes that consent without logging the client out or deleting a fallback provider profile.

These stdio registrations launch the MCP process on demand, so the daemon does not need to be running after onboarding has initialized the local database, and no HTTP bearer is copied into client configuration. Schema creation and migration remain daemon-owned; a brand-new or externally upgraded data root must run persome start once before stdio clients use it. Stdio writes remain available while the daemon is stopped, but WAL maintenance waits for the daemon; start it periodically if you use write tools in that mode so the WAL stays bounded.

For another Cursor-compatible setup, you can still generate a stdio obj

只显示了开头部分；其余内容请在仓库中阅读

Persome

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

Personal Model: local-first AI memory for coding agents

Why Personal Model

Your Personal Model is your HUMAN.md

Works with Claude Code, Codex, Cursor Agent, and MCP clients

Use cases

1. One Root — A Model of You

2. Same AI. Different You.

3. One MCP — Turn coding agents into proactive agents

Continue where you left off

Work while you sleep

Install, connect, and verify

1. Install with your data

also supported: claude-code, cursor-agent

2. Connect a trusted MCP client

also supported: claude-code, cursor-agent

Your Personal Model is your `HUMAN.md`