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cloud-sync

@thedotmack · 收录于 2 天前 · 上游提交 3 天前

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.

适合你,如果希望在不同设备间同步Claude记忆数据

/ 通过 npx 安装 校验哈希
npx oh-my-skill add thedotmack/claude-mem/cloud-sync
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- thedotmack/claude-mem/cloud-sync
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify thedotmack/claude-mem/cloud-sync
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 f5633c1 · 表述以原文为准
它做什么

安装后,Claude 可以检查记忆云同步状态,或首次设置同步到 cmem.ai Pro 账户。它会报告待同步条目数、上次刷新时间和错误信息。

什么时候触发

当用户提到“设置云同步”、“同步我的记忆”、“cmem pro”、“云备份”、“同步状态”等关键词,或要求备份/同步记忆数据库时触发。

装好后可以这样说
Claude 会查询同步状态并报告待同步条目数。
Claude 会引导输入令牌和用户 ID 完成首次配置。
如果检测到旧客户端,Claude 会自动迁移并停用。
技能原文 SKILL.md作者撰写 · Apache-2.0 · f5633c1

Cloud Sync (cmem.ai Pro)

The worker syncs memories itself: every write nudges a background flusher that drains unsynced rows to cmem.ai. There is no daemon to install or babysit. This skill is a thin front-end — check status, and on first run collect credentials, retire the old standalone client, and restart the worker so it picks them up.

Security rule for this entire skill: NEVER print the sync token, never put it in a command-line argument (argv is visible to other processes), and never log it. It travels only inside heredoc-fed stdin scripts or files that already hold it. When confirming, report its length — not its value.

1. Check status

Resolve the worker port (env → ~/.claude-mem/settings.json → per-UID default 37700 + (uid % 100), matching how the worker picks its own port; re-run this in any fresh shell before the curls in step 5):

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"

Responses:

  • {"configured": true, "deviceId": ..., "pending": {"observations": N, "summaries": N, "prompts": N}, "lastFlushAt": ..., "lastError": ...} → go to step 2.
  • {"configured": false} → go to step 3.
  • 404 / 503 / connection refused → the route registers late during worker startup, so a request right after a restart can miss it. Retry every 3s for ~15s before concluding anything. If 404 persists, the running worker predates cloud sync — restart it with the command in step 5, wait, and retry.
2. Already configured → report and stop

Report the three pending counts, lastFlushAt, and lastError (null means healthy). Pending counts near 0 mean the cloud copy is current. Done — do not run the setup steps below.

3. Not configured → obtain credentials

Priority order:

(a) Legacy standalone client present. If ~/.claude-mem/.cloud-sync.env exists, the user already set up the old standalone sync client. Tell them: "Found your existing standalone cloud-sync setup — migrating it into the worker. Your token and device identity carry over; nothing re-uploads." Do NOT cat the file or print its values. Migrate it with this script (it reads the file itself, so the token never enters the conversation):

node - <<'EOF'
const fs = require('fs'), os = require('os'), path = require('path');
const dir = path.join(os.homedir(), '.claude-mem');
const env = fs.readFileSync(path.join(dir, '.cloud-sync.env'), 'utf8');
const get = (k) => (env.match(new RegExp('^' + k + '=(.*)$', 'm')) || [])[1]?.trim().replace(/^["']|["']$/g, '') || '';
const token = get('CMEM_SYNC_TOKEN'), userId = get('CMEM_USER_ID');
if (!token || !userId) { console.error('legacy env file is missing CMEM_SYNC_TOKEN or CMEM_USER_ID'); process.exit(1); }
const file = path.join(dir, 'settings.json');
const settings = fs.existsSync(file) ? JSON.parse(fs.readFileSync(file, 'utf8')) : {};
settings.CLAUDE_MEM_CLOUD_SYNC_TOKEN = token;
settings.CLAUDE_MEM_CLOUD_SYNC_USER_ID = userId;
fs.writeFileSync(file, JSON.stringify(settings, null, 2) + '\n');
fs.chmodSync(file, 0o600);
console.log(`migrated: token length ${token.length}, user id length ${userId.length}`);
EOF

(b) No legacy file. Use AskUserQuestion to ask the user to paste two values from cmem.ai → Connect: their sync token and their user id. Then write them with the same merge script, embedding the two values as string literals inside the quoted heredoc (heredoc body is stdin, not argv — the token stays off the command line; do not echo it back afterward):

node - <<'EOF'
const fs = require('fs'), os = require('os'), path = require('path');
const token = 'PASTE_TOKEN_HERE';
const userId = 'PASTE_USER_ID_HERE';
const file = path.join(os.homedir(), '.claude-mem', 'settings.json');
const settings = fs.existsSync(file) ? JSON.parse(fs.readFileSync(file, 'utf8')) : {};
settings.CLAUDE_MEM_CLOUD_SYNC_TOKEN = token;
settings.CLAUDE_MEM_CLOUD_SYNC_USER_ID = userId;
fs.writeFileSync(file, JSON.stringify(settings, null, 2) + '\n');
fs.chmodSync(file, 0o600);
console.log(`saved: token length ${token.length}, user id length ${userId.length}`);
EOF

Merge rules (both paths, non-negotiable): parse the existing JSON and merge the two keys in — never clobber other settings, never rewrite the file from a template, and restore file mode 0600 after writing (both scripts above do this).

4. Retire the legacy daemon

The standalone client is superseded by worker-native sync. If it is still running it would double-upload, so shut it down and archive its artifacts:

D="$HOME/.claude-mem"
if [ -f "$D/cloud-sync.pid" ]; then
  LEGACY_PID=$(cat "$D/cloud-sync.pid")
  if [ -n "$LEGACY_PID" ] && ps -p "$LEGACY_PID" -o command= 2>/dev/null | grep -q cloud-sync; then
    kill "$LEGACY_PID"
  fi
fi
for f in cloud-sync.mjs .cloud-sync.env cloud-sync.pid; do
  [ -f "$D/$f" ] && mv "$D/$f" "$D/$f.retired"
done
ls "$D" | grep retired

Leave ~/.claude-mem/cloud-sync-state.json exactly where it is. The worker's migration stamps already-synced rows from its cursors and adopts its device id — renaming or deleting it forks every cloud row into a duplicate.

5. Restart the worker and watch it drain

The worker reads credentials at startup, so restart it:

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

The old worker spawns its own successor once its port closes — do not spawn or kill anything yourself; the POST is the entire restart. Then poll:

curl -s "http://127.0.0.1:${PORT}/api/sync/status"

every ~5s. Tolerate connection-refused/404 for the first ~30s (successor booting, route registering late). Expect configured: true with the pending counts falling as the flusher drains. Stop polling when either:

  • all three pending counts reach 0, or
  • the counts stop changing across 3 consecutive polls with lastError null — a large first backfill flushes in batches and can take minutes; report the current counts and note the worker keeps draining in the background.

If lastError is non-null and pending is not moving, report the error text verbatim (it never contains the token) and suggest re-checking the token and user id against cmem.ai → Connect.

6. Report
  • Status check (already configured): pending counts, last flush time, last error.
  • First-time setup: device id from the status response, what the counts drained to, whether a legacy client was migrated/retired, and this one-line privacy note:
Cloud sync uploads your observation narratives and full prompt text to your cmem.ai account.
按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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