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cloud-sync

Persistent memory compression system built for Claude Code .

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项目 README

来源文件：README.md

抓取于 2026年7月28日


Claude-Mem
Vercel OSS Program

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Persistent memory compression system built for Claude Code.

License Version Node Mentioned in Awesome Claude Code

thedotmack/claude-mem | Trendshift


Claude-Mem Preview Star History Chart

Quick Start • How It Works • Search Tools • Documentation • Configuration • Troubleshooting • License

Claude-Mem seamlessly preserves context across sessions by automatically capturing tool usage observations, generating semantic summaries, and making them available to future sessions. This enables Claude to maintain continuity of knowledge about projects even after sessions end or reconnect.

Quick Start

Install with a single command:

npx claude-mem install

Or install for OpenCode:

npx claude-mem install --ide opencode

Or install for Antigravity CLI (setup guide):

npx claude-mem install --ide antigravity

Or install from the plugin marketplace inside Claude Code:

/plugin marketplace add thedotmack/claude-mem

/plugin install claude-mem

Restart Claude Code. Context from previous sessions will automatically appear in new sessions.

Note: Claude-Mem is also published on npm, but npm install -g claude-mem installs the SDK/library only — it does not register the plugin hooks or set up the worker service. Always install via npx claude-mem install or the /plugin commands above.

🦞 OpenClaw Gateway

Install claude-mem as a persistent memory plugin on OpenClaw gateways with a single command:

curl -fsSL https://install.cmem.ai/openclaw.sh | bash

The installer handles dependencies, plugin setup, AI provider configuration, worker startup, and optional real-time observation feeds to Telegram, Discord, Slack, and more. See the OpenClaw Integration Guide for details.

Key Features:

  • 🧠 Persistent Memory - Context survives across sessions
  • 📊 Progressive Disclosure - Layered memory retrieval with token cost visibility
  • 🔍 Skill-Based Search - Query your project history with mem-search skill
  • 🖥️ Web Viewer UI - Real-time memory stream at the worker URL printed on startup
  • 💻 Claude Desktop Skill - Search memory from Claude Desktop conversations
  • 🔒 Privacy Control - Use <private> tags to exclude sensitive content from storage
  • ⚙️ Context Configuration - Fine-grained control over what context gets injected
  • 🤖 Automatic Operation - No manual intervention required
  • 🔗 Citations - Reference past observations with IDs through the worker API or view all in the web viewer

Documentation

📚 View Full Documentation - Browse on official website

Getting Started

  • Installation Guide - Quick start & advanced installation
  • Usage Guide - How Claude-Mem works automatically
  • Search Tools - Query your project history with natural language
  • Cloud Sync - Back up your memories to cmem.ai — no daemon, the worker syncs on write

Best Practices

Architecture

Configuration & Development

How It Works

Core Components:

  1. 5 Lifecycle Hooks - SessionStart, UserPromptSubmit, PostToolUse, Stop, SessionEnd (6 hook scripts)
  2. Smart Install - Cached dependency checker (pre-hook script, not a lifecycle hook)
  3. Worker Service - Local HTTP API with web viewer UI and search endpoints, managed by Bun
  4. SQLite Database - Stores sessions, observations, summaries
  5. mem-search Skill - Natural language queries with progressive disclosure
  6. Chroma Vector Database - Hybrid semantic + keyword search for intelligent context retrieval

See Architecture Overview for details.

MCP Search Tools

Claude-Mem provides intelligent memory search through 4 MCP tools following a token-efficient 3-layer workflow pattern:

The 3-Layer Workflow:

  1. search - Get compact index with IDs (~50-100 tokens/result)
  2. timeline - Get chronological context around interesting results
  3. get_observations - Fetch full details ONLY for filtered IDs (~500-1,000 tokens/result)

How It Works:

  • Claude uses MCP tools to search your memory
  • Start with search to get an index of results
  • Use timeline to see what was happening around specific observations
  • Use get_observations to fetch full details for relevant IDs
  • ~10x token savings by filtering before fetching details

Available MCP Tools:

  1. search - Search memory index with full-text queries, filters by type/date/project
  2. timeline - Get chronological context around a specific observation or query
  3. get_observations - Fetch full observation details by IDs (always batch multiple IDs)

Example Usage:

// Step 1: Search for index
search(query="authentication bug", type="bugfix", limit=10)

// Step 2: Review index, identify relevant IDs (e.g., #123, #456)

// Step 3: Fetch full details
get_observations(ids=[123, 456])

See Search Tools Guide for detailed examples.

Release Branches

Stable releases ship from main and are published to npm. core-dev and community-edge are source-run branches for early reliability fixes and community integrations. See Release Branches for the branch flow and non-stable run instructions.

System Requirements

  • Node.js: 20.0.0 or higher
  • Claude Code: Latest version with plugin support
  • Bun: JavaScript runtime and process manager (auto-installed if missing)
  • uv: Python package manager for vector search (auto-installed if missing)
  • SQLite 3: For persistent storage (bundled)

Windows Setup Notes

If you see an error like:

npm : The term 'npm' is not recognized as the name of a cmdlet

Make sure Node.js and npm are installed and added to your PATH. Download the latest Node.js installer from https://nodejs.org and restart your terminal after installation.

Configuration

Settings are managed in ~/.claude-mem/settings.json (auto-created with defaults on first run). Configure AI model, worker port, data directory, log level, and context injection settings.

See the Configuration Guide for all available settings and examples.

Mode & Language Configuration

Claude-Mem supports multiple workflow modes and languages via the CLAUDE_MEM_MODE setting.

This option controls both:

  • The workflow behavior (e.g. code, chill, investigation)
  • The language used in generated observations

How to Configure

Edit your settings file at ~/.claude-mem/settings.json:

{
  "CLAUDE_MEM_MODE": "code--zh"
}

Modes are defined in plugin/modes/. To see all available modes locally:

ls ~/.claude/plugins/marketplaces/thedotmack/plugin/modes/

Available Modes

ModeDescription
codeDefault English mode
code--zhSimplified Chinese mode
code--jaJapanese mode

Language-specific modes follow the pattern code--[lang] where [lang] is the ISO 639-1 language code (e.g., zh for Chinese, ja for Japanese, es for Spanish).

Note: code--zh (Simplified Chinese) is already built-in — no additional installation or plugin update is required.

After Changing Mode

Restart Claude Code to apply the new mode configuration.

Development

See the Development Guide for build instructions, testing, and contribution workflow.

Troubleshooting

If experiencing issues, describe the problem to Claude and the troubleshoot skill will automatically diagnose and provide fixes.

See the Troubleshooting Guide for common issues and solutions.

Bug Reports

Create comprehensive bug reports with the automated generator:

cd ~/.claude/plugins/marketplaces/thedotmack
npm run bug-report

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes with tests
  4. Update documentation
  5. Submit a Pull Request

Claude-Mem ships from three branches: main (stable), core-dev, and community-edge. Only main is published to npm; the others are run from source. See Release Branches for the strategy and local run instructions.

See Development Guide for contribution workflow.

License

Claude-Mem is licensed under the Apache License 2.0.

We chose Apache-2.0 because durable agentic memory should be easy to embed in developer tools, local agents, MCP servers, enterprise systems, robotics stacks, and production agent harnesses.

See the LICENSE file for full details. See docs/license.md and docs/ip-boundary.md for licensing scope and the open/commercial boundary.

Note on Ragtime: The ragtime/ directory is licensed under the Apache License 2.0. See ragtime/LICENSE for details.

Support

Built with Claude Agent SDK | Works with Claude Code | Made with TypeScript

What About CMEM?

CMEM is a token created by a 3rd party but officially embraced by the creator of Claude-Mem (Alex Newman, @thedotmack). The token acts as a community catalyst for growth and a vehicle for bringing CMEM to the developers and knowledge workers that need it most.

Official BASE CA: 0x76b1967eec0ccaeb001bbbb2b40dc4badba31ba3

其他

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用，安装前请复核。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现：3 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/thedotmack/claude-mem.git
  3. 将 "plugin/skills/cloud-sync" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/thedotmack/claude-mem.git
  3. 将 "plugin/skills/cloud-sync" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/thedotmack/claude-mem.git
  3. 将 "plugin/skills/cloud-sync" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/thedotmack/claude-mem.git
  3. 将 "plugin/skills/cloud-sync" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/thedotmack/claude-mem.git
  3. 将 "plugin/skills/cloud-sync" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: cloud-sync
description: Set up or check claude-mem cloud sync with cmem.ai Pro. Use when the user says "set up cloud sync", "sync my memories", "cmem pro", "cloud backup", "sync status", or wants their memory database backed up or synced to their cmem.ai account.
allowed-tools:
  - Bash
  - Read
  - AskUserQuestion

Cloud Sync (cmem.ai Pro)

The installed worker syncs through SyncHub. There is one client, one durable operation log, and no separate sync daemon. This skill checks status or writes the three connection values issued by cmem.ai → Connect.

Security rule: never print the sync token, put it in argv, or log it. Confirm only its length. Preserve every unrelated setting and keep ~/.claude-mem/settings.json mode 0600.

1. Check status

Resolve the worker port and query the always-registered status route:

PORT="${CLAUDE_MEM_WORKER_PORT:-$(node -e "const fs=require('fs'),p=require('path'),os=require('os');const uid=(typeof process.getuid==='function'?process.getuid():77);const fallback=String(37700+(uid%100));try{const s=JSON.parse(fs.readFileSync(p.join(os.homedir(),'.claude-mem','settings.json'),'utf-8'));process.stdout.write(String(s.CLAUDE_MEM_WORKER_PORT||fallback));}catch{process.stdout.write(fallback);}" 2>/dev/null)}"
curl -s "http://127.0.0.1:${PORT}/api/sync/status"
  • configured: true and hub.reachable: true → the worker completed an authenticated GET /v1/sync/status against SyncHub. Report deviceId, pending counts, lastFlushAt, lastError, and the Hub head/checkpoint; stop unless the user asked to replace the connection.
  • configured: true and hub.reachable: false → report hub.error and say the SyncHub connection is not verified. A zero pending count or lastError: null is not success because an empty queue performs no push.
  • configured: false → continue.
  • Connection refused, 404, or 503 immediately after restart → retry every three seconds for about 30 seconds before diagnosing the worker.

2. Obtain the connection

Ask for all three values shown by cmem.ai → Connect:

  1. sync token;
  2. user id;
  3. SyncHub URL.

The Hub URL must be an absolute https:// URL. Do not substitute the cmem.ai application API URL; the installed client talks only to SyncHub.

3. Write installed-client settings

Substitute the collected values inside this quoted stdin script. Do not echo them before or after running it:

node - <<'EOF'
const fs = require('fs'), os = require('os'), path = require('path');
const token = 'PASTE_TOKEN_HERE';
const userId = 'PASTE_USER_ID_HERE';
const hubUrl = 'PASTE_HUB_URL_HERE';
if (!token || !userId || !/^https:\/\/[^\s]+$/.test(hubUrl)) {
  console.error('token, user id, and an https SyncHub URL are required');
  process.exit(1);
}
const dir = path.join(os.homedir(), '.claude-mem');
const file = path.join(dir, 'settings.json');
fs.mkdirSync(dir, { recursive: true });
const settings = fs.existsSync(file) ? JSON.parse(fs.readFileSync(file, 'utf8')) : {};
const target = settings.env && typeof settings.env === 'object' ? settings.env : settings;
target.CLAUDE_MEM_CLOUD_SYNC_TOKEN = token;
target.CLAUDE_MEM_CLOUD_SYNC_USER_ID = userId;
target.CLAUDE_MEM_CLOUD_SYNC_HUB_URL = hubUrl.replace(/\/+$/, '');
fs.writeFileSync(file, JSON.stringify(settings, null, 2) + '\n', { mode: 0o600 });
fs.chmodSync(file, 0o600);
console.log(`saved cloud connection: token length ${token.length}, user id length ${userId.length}`);
EOF

These are the only required connection keys. The worker mints and persists a device id on first start and defaults the device name to the hostname.

4. Restart and verify

curl -s -X POST "http://127.0.0.1:${PORT}/api/admin/restart"

Poll the status route every five seconds for up to 30 seconds while the successor starts. Success means configured: true, hub.reachable: true, and lastError: null. The local route always makes an authenticated, read-only SyncHub status probe, even when every pending count is zero; it never uses a legacy cmem.ai Pro status route and never appends or advances sync state. Pending counts describe only writes made after the SyncHub launch baseline; setup does not migrate a pre-launch local corpus.

If hub.reachable is false, report hub.error. If lastError is non-null, report it too. Ask the user to verify the three values in cmem.ai → Connect. Never include the token.

5. Report

Report device id, pending counts, last successful flush, Hub reachability and checkpoint, and any Hub/flush error. End with this privacy note:

Cloud sync uploads your observation narratives and full prompt text to your cmem.ai account.

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