AGENT SKILL

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.

License 许可
Apache-2.0
最近更新
2026-08-12
Stars
★ 2
Forks
0

01 前言 Front Matter

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.

03 SKILL.md 正文

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
  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

04 同仓库更多 Skills

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Mem0 provider for Vercel AI SDK (@mem0/vercel-ai-provider). TRIGGER when: user mentions "vercel ai sdk", "@mem0/vercel-ai-provider", "createMem0", "retrieveMemories", "addMemories", "getMemories", "searchMemories", "mem0 vercel", "AI SDK provider", "AI SDK memory", or is using generateText/streamText with mem0. Also triggers for Next.js apps needing memory-augmented AI. DO NOT TRIGGER when: user asks about direct Python/TS SDK calls without Vercel (use mem0 skill), or CLI terminal commands (use mem0-cli skill).

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★ 2
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Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local `Memory` class) to the mem0 Platform / hosted / managed SDK (the `MemoryClient` class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g. "migrate my mem0 setup to the platform", "switch from self-hosted mem0 to MemoryClient", "use my mem0 API key instead of a local Qdrant", "move mem0 to the cloud/hosted/managed service", or "replace my local mem0 vector store + embedder config with the platform". Applies to Python (`from mem0 import Memory` → `from mem0 import MemoryClient`) and TypeScript/JavaScript (`import { Memory } from "mem0ai/oss"` → `import MemoryClient from "mem0ai"`). Trigger even when the user doesn't say the word "migrate" but clearly wants their existing mem0 integration to run against the hosted platform. It first produces a reviewable migration plan, then executes it after the developer approves. Strictly scoped to the mem0 integration — it does not refactor, restructure, or "improve" any unrelated code.

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Integrate Mem0 into an existing repository using a goal-driven, TDD pipeline. Detects the repo's language automatically and asks the user to pick between Mem0 Platform (managed) and Mem0 Open Source (self-hosted). Writes failing tests before any implementation. Produces a local feature branch plus `.mem0-integration/` artifacts consumed by the paired verification skill. TRIGGER when: user says "integrate mem0", "add mem0 to this repo", "wire mem0 into <repo>", or asks how to add memory to an existing project. DO NOT TRIGGER when: the user wants general SDK usage (use skill:mem0), CLI usage (use skill:mem0-cli), or Vercel AI SDK (use skill:mem0-vercel-ai-sdk). After success, invoke skill:mem0-test-integration to verify in the same workspace (loose coupling).

★ 2
zhangmask
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★ 2