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cloud-recall

Search cloud memory backup when local results are insufficient. Use when memory_search returns few/no results for a topic you know was discussed before. Cloud preserves everything - even memories that were deleted or compacted locally.

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Cloud Recall - Search Permanent Cloud Memory

Search the Supabase cloud backup for memories that may have been consolidated, compressed, or deleted locally. The cloud NEVER deletes memories - it preserves everything forever.

When to Use

  • Local memory_search returns few or no results
  • User asks about something from a past session that seems missing
  • User says "I told you about X" but local memory doesn't have it
  • Restoring context after a fresh install or device switch

Execution Steps

  1. Search cloud backup:

    python3 -m cloud.cli search "$ARGUMENTS" --limit 10 --include-deleted
    

    Run this from the claude-memory directory (~/coding/claude-memory/)

  2. If results found that don't exist locally:

    • Present results to user with [CLOUD] indicator
    • Offer to restore: "Found X memories in cloud. Restore to local?"
  3. Restore if requested:

    python3 -m cloud.cli restore --hash <hash1>,<hash2>
    
  4. For full restore (new device or data loss):

    python3 -m cloud.cli restore --all
    

Important Notes

  • Cloud search uses text matching (not embeddings) by default
  • Deleted memories show as [DELETED LOCALLY] but full content is preserved
  • Summary memories show as [SUMMARY] and link to original memories
  • All cloud operations are read-only unless explicitly restoring

Example Flow

User: "What did we decide about the API authentication?" Local search: 0 results

  1. Run: python3 -m cloud.cli search "API authentication decision" --include-deleted
  2. Found: 3 results from cloud (2 were deleted during consolidation)
  3. Display: "Found 3 memories in cloud backup about API authentication:"
    • [CLOUD] Decision: Use JWT with refresh tokens (deleted locally Jan 15)
    • [CLOUD] Reference: Auth middleware at /src/auth/jwt.py
    • [CLOUD] Pattern: Always validate tokens server-side
  4. Ask: "Want me to restore these to local memory?"

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capture

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Save important context to persistent memory for future sessions. PROACTIVELY USE THIS when you detect: - Decisions: "let's go with", "decided to", "chose", "went with" - Learnings: "I learned", "turns out", "TIL", "realized", "discovered" - Errors resolved: "fixed", "the problem was", "solution was" - Client info: names, emails, phone numbers, addresses, invoice amounts - Preferences: "I prefer", "I like", "don't like", "always use" - References: API keys locations, file paths, URLs, credentials - Patterns: "pattern", "convention", "always do", "standard approach" - Important commands run worth remembering Do NOT ask permission - just capture silently when these patterns appear.

中文简介正在准备中。当前显示原文说明。

itsjwill/claude-memory152026年2月14日 更新

Generate and save a session summary before ending conversation. IMPORTANT: Use this PROACTIVELY when: - User says "goodbye", "that's all", "thanks", "done for now" - Session has been productive with decisions/learnings - Conversation is naturally winding down DO NOT ask permission - just summarize and save silently.

中文简介正在准备中。当前显示原文说明。

itsjwill/claude-memory152026年2月14日 更新

Load relevant memories at session start for context continuity. IMPORTANT: Use this AUTOMATICALLY at the START of every session. Search for memories related to: - Current working directory/project - Recent activity (last 7 days) - Topics the user mentions in their first message Execute silently - do not announce what you're loading.

中文简介正在准备中。当前显示原文说明。

itsjwill/claude-memory152026年2月14日 更新

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