CP Memory

Name: CP Memory
Author: CJhuochai

作者：CJhuochai版本 1.8.1i★ –i在你的电脑上运行

注册名称io.github.CJhuochai/cp-memory

安装

概览

作者提供的说明（英文原文）

Local-first, governable long-term memory for AI coding agents

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": {
    "cp-memory": {
      "command": "uvx",
      "args": [
        "cp-memory-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add cp-memory -- uvx cp-memory-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": {
    "cp-memory": {
      "command": "uvx",
      "args": [
        "cp-memory-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": {
    "cp-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cp-memory-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 CJhuochai 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 7281 个服务器的 0%
发布到注册中心的时间比此分类中其他 7281 个服务器的 37% 更新
基础检查结果等于或优于此分类中其他 7281 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

CP Memory 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（1.8.1）于2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昨天更新

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★ 48,148MIT21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。

CP Memory

Local-first, governable memory for AI coding agents.

Remember project rules across sessions, recall only what matters, and correct bad memory without hiding history.

简体中文 | English

Why CP Memory

For reproducible package, protocol and recall checks, see verification evidence and limits.

Local first: memory stays in ~/.cp-memory/memory.db by default.
Governable: inspect, review, correct, scope, or retire memory instead of silently overwriting it.
MCP-ready, Codex-enhanced: the stdio MCP server is the portable baseline; the Codex plugin adds Skills and lifecycle Hooks.

Quick Start — Portable MCP

With Python 3.10+ and uv installed, any stdio MCP client can start CP Memory with:

uvx cp-memory-mcp

The public package passed a clean-cache MCP handshake with all 40 tools and a write/search/correct flow. See MCP client setup for Codex, Claude Code, Cursor, VS Code, and Gemini CLI examples.

For the enhanced Codex integration with lifecycle Hooks and Skills, install the plugin:

codex plugin marketplace add CJhuochai/cp-memory

codex plugin add cp-memory@cp-memory

Restart Codex after installation and approve the lifecycle Hooks if prompted.

See The Result In 30 Seconds

Tell Codex a project rule, such as: “Releases must start on a branch, run tests, and merge through a PR.”
In a later session, CP Memory restores the relevant rule from the local primary store so Codex can continue following it.
If the rule is wrong, preserve correction history and mark the old record wrong, stale, or scoped instead of silently overwriting it.

CP Memory is a local-first memory plugin for Codex. It stores facts, preferences, ongoing work, episodes, decisions, and conversation checkpoints in a local SQLite database, then restores relevant context through MCP tools and lifecycle hooks.

The goal is not to remember as much as possible. The goal is memory that remains trustworthy after long-term use: explainable, reviewable, correctable, and governable.

Current Capabilities

Context restore: restores relevant local-primary memory on startup and eligible prompts.
Automatic extraction: conservatively creates long-term personal memory candidates from explicit statements.
Project scope: prioritizes current-project memories with repo:, project:, and workspace: scopes.
Reviewable governance: supports review inbox, review digests, conflict suggestions, correction states, and startup reminders.
Safe maintenance: weekly maintenance runs health checks, governance preflight, and low-risk expiry cleanup only.

30-Second Example

You tell Codex:

Remember this: releases for this project must start on a branch, run tests, and merge through a PR.

In a later session, you ask:

What are the release rules for this plugin?

CP Memory restores the relevant memory from the local primary store first, and Codex follows that rule. If the memory is wrong, you can mark it wrong, mark it stale, or write a corrected version.

See more anonymized examples in docs/examples.md.

For a GIF, short video, or launch post, use the sanitized 30-second demo script.

Install

For any stdio MCP client, use the verified public package:

uvx cp-memory-mcp

Client-specific commands and JSON files are in docs/mcp-clients.md.

For Windows, the recommended path is GitHub Marketplace installation:

codex plugin marketplace add CJhuochai/cp-memory

codex plugin add cp-memory@cp-memory

Restart Codex after installation. If Codex asks you to trust hooks, approve the CP Memory lifecycle hooks in the hooks view.

For macOS/Linux, use the source installer. It creates a private Python runtime for the plugin and installs the MCP dependency:

git clone https://github.com/CJhuochai/cp-memory.git

cd cp-memory sh ./install.sh

Restart Codex when it finishes. Do not treat GitHub Marketplace installation on macOS/Linux as an equivalently verified path: Marketplace does not run install.sh, so it does not create that private runtime.

Platform Support

Platform	Recommended installation	Verified coverage
Windows	GitHub Marketplace; `install.ps1` for local development	Unit tests, isolated installation validation, and GitHub Actions CI passed
macOS	Source installer: `sh ./install.sh`	GitHub Actions macOS CI passed unit tests and isolated install/MCP startup validation
Linux	Source installer: `sh ./install.sh`	GitHub Actions Ubuntu CI passed unit tests and isolated install/MCP startup validation

Manual smoke testing of real Codex desktop Hook injection on macOS/Linux is still pending access to physical devices. This release is accepted through three-platform CI; the boundary does not affect the installer and MCP-startup checks already covered, but it is not a substitute for full desktop manual acceptance.

Safety

Do not commit your real memory.db, logs, private summaries, or environment files.
Automatic extraction is intentionally conservative. Generated memories can be reviewed, corrected, marked stale, or marked wrong.
When memories need review, the current version injects a reminder into assistant context. It is not a user-facing popup or visible review panel, and it does not auto-delete memory or auto-resolve conflicts.
Weekly maintenance runs health checks, governance preflight, and low-risk expiry cleanup only; long-term personal memories, tasks, and decisions are protected by default.
Examples and screenshots use sanitized content, so you do not need to expose your real memory database.

Comparison

If you have seen other memory projects, start with docs/comparison.md. CP Memory's main difference is Codex lifecycle integration plus memory governance, not just storage and search.

Roadmap

See docs/roadmap.md for future directions. The roadmap prioritizes local-first behavior, explainability, correctability, and privacy safety.

See CHANGELOG.md for version history.

Local Development

Windows users normally do not need to run install.ps1. It is mainly for local development, refreshing the personal marketplace cache, and migrating old global hook wiring from earlier versions.

For local macOS/Linux development, run:

sh ./install.sh

sh ./scripts/test-install.sh

Python 3 with python3 on PATH is required. The installer creates a private virtual environment in the plugin directory and installs runtime dependencies; this is the currently verified installation path for macOS/Linux.

Run the test suite:

python -m unittest discover -s tests -p test_cp_memory.py

Validate the installer in an isolated temporary profile without touching your real Codex configuration:

powershell -ExecutionPolicy Bypass -File .\scripts\test-install.ps1

License

MIT

CP Memory

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

Why CP Memory

Quick Start — Portable MCP

See The Result In 30 Seconds

Current Capabilities

30-Second Example

Install

Platform Support

Safety

Comparison

Roadmap

Local Development

License