/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.

mem0ai@mem0ai

GitHub

From plugin

mem0

63k32 skills1 MCP

Install

$ npx -y skills add mem0ai/mem0 --skill memory-reviewer --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/memory-reviewer

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

memory-reviewer.SKILL.md

name: memory-reviewer
description: 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.

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:**

| Issue | Detection method | |---|---| | **Near-duplicates** | >60% noun overlap within same type. Compare memory text after stripping stop words. | | **Contradictions** | Opposing facts about same topic (e.g., "use PostgreSQL" vs "use MySQL" for same component) | | **Low-confidence** | `metadata.confidence < 0.3` | | **Missing type** | No `metadata.type` set | | **Stale** | `created_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

5. **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>]

6. **Suggest action**: "Run `/mem0:dream` to consolidate duplicates and resolve contradictions."