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mem0ai/mem0107 installs

memory-reviewer

Reviews stored memory quality by detecting duplicates, contradictions, and stale entries with actionable recommendations. Use when search results seem conflicting, before running dream consolidation, or for periodic memory hygiene audits.

How do I install this agent skill?

npx skills add https://github.com/mem0ai/mem0 --skill memory-reviewer
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The memory-reviewer skill is a utility designed for memory maintenance and hygiene. It identifies duplicates and contradictions in stored data without modifying records or executing dangerous commands. No security risks were identified.

  • Socketpass

    No alerts

  • Snykfail

    Risk: HIGH · 1 issue

What does this agent skill do?

Memory Reviewer

Audits memory quality for the active project. Finds duplicates, contradictions, and low-confidence entries.

When to use

  • User asks "check my memories", "memory quality", "any duplicates?"
  • User runs /mem0:memory-reviewer directly
  • After a session with 5+ memory writes (suggest proactively)
  • After /mem0:health --deep identifies issues

Steps

  1. Fetch all memories for active project via get_memories with filters={"AND": [{"user_id": "<active_user_id>"}, {"app_id": "<active_project_id>"}]}, page_size=200. Paginate if needed — cap at 200 memories.

  2. Group by metadata.type. Common types: decision, convention, anti_pattern, task_learning, project_profile, user_preference, session_state.

  3. Scan each group for issues:

    IssueDetection method
    Near-duplicates>60% noun overlap within same type. Compare memory text after stripping stop words.
    ContradictionsOpposing facts about same topic (e.g., "use PostgreSQL" vs "use MySQL" for same component)
    Low-confidencemetadata.confidence < 0.3
    Missing typeNo metadata.type set
    Stalecreated_at older than 180 days with no updates
  4. Output compact summary:

memory-reviewer: project=<id> total=<N>
  duplicates:      <N> found
  contradictions:  <N> found
  low_confidence:  <N> found
  untagged:        <N> found
  stale:           <N> found
  1. If issues found, list them with memory IDs:
Issues:
  [duplicate] "<memory_a>" ≈ "<memory_b>" [mem0:<id_a>, mem0:<id_b>]
  [contradiction] "<memory_x>" vs "<memory_y>" [mem0:<id_x>, mem0:<id_y>]
  [low_conf] "<memory_z>" (confidence: 0.1) [mem0:<id_z>]
  1. Suggest action: "Run /mem0:dream to consolidate duplicates and resolve contradictions."

Constraints

  • Read-only — never modify or delete memories (that's /mem0:dream's job)
  • Max 200 memories per scan
  • Report findings, let user decide on action

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/mem0ai/mem0/memory-reviewer">View memory-reviewer on skillZs</a>