菜单
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.
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Searches and injects relevant memories into context before starting work on a task. Use when beginning a new task, switching context, or when project history, past decisions, or coding conventions need to be loaded.
Consolidates stored memories by merging duplicates, resolving contradictions, and pruning stale entries. Use when memory count is high, search results feel noisy or repetitive, or periodic cleanup is needed to maintain memory quality.
Deletes memories by search query or memory ID with confirmation before removal. Use when removing outdated decisions, incorrect memories, sensitive data, or cleaning up after experiments. Also handles undo of recent additions.
Pins or unpins a memory to protect it from pruning during dream consolidation. Use when a memory is critical and must never be removed, such as architecture decisions, security constraints, or immutable team conventions.
Stores a memory verbatim from user input with appropriate type classification and metadata. Use when the user says remember this, save this, store this, note that, or explicitly asks to record a decision, preference, convention, or learning.
Views or changes the default memory scope (project, session, or global) used when saving and searching memories. Use when the user wants to control whether memories are scoped to this repo, this run, or shared across all their projects.
| 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. |
Audits memory quality for the active project. Finds duplicates, contradictions, and low-confidence entries.
/mem0:memory-reviewer directly/mem0:health --deep identifies issuesFetch 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.
Group by metadata.type. Common types: decision, convention, anti_pattern, task_learning, project_profile, user_preference, session_state.
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 |
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
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>]
/mem0:dream to consolidate duplicates and resolve contradictions."/mem0:dream's job)