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Agent Skill

mem0-memory 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

436

周安装

18

GitHub Stars

公开资料未说明

下载量

143
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mem0-memory(内存 0 内存)
来源仓库:https://github.com/yonatangross/skillforge-claude-plugin
仓库路径:skills/mem0-memory
安装命令:
npx skills add yonatangross/skillforge-claude-plugin --skill "mem0-memory"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add yonatangross/skillforge-claude-plugin --skill "mem0-memory"

简介

发现并安装 AI 代理的技能,提升记忆管理能力。

  • 适用于需要长期记忆存储的复杂任务场景。
  • 支持按查询付费模式,可选加密存储。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 实际效果依赖 mem0 平台服务稳定性。
  • mem0-memory 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Mem0 Memory Management

Persist and retrieve semantic memories across Claude sessions.

Memory Scopes

Organize memories by scope for efficient retrieval:

ScopePurposeExamples
project-decisionsArchitecture and design decisions"Use PostgreSQL with pgvector for RAG"
project-patternsCode patterns and conventions"Components use kebab-case filenames"
project-continuitySession handoff context"Working on auth refactor, PR #123 pending"

Project Isolation

Memories are isolated by project name extracted from CLAUDE_PROJECT_DIR:

  • Project name: basename($CLAUDE_PROJECT_DIR) (sanitized to lowercase, dashes)
  • Format: {project-name}-{scope}

Edge Case: If two different repositories have the same directory name, they will share the same user_id scope. To avoid this:

  1. Use unique directory names for each project
  2. Or use MEM0_ORG_ID environment variable for additional namespace

Example:

  • /Users/alice/my-appmy-app-decisions
  • /Users/bob/my-appmy-app-decisions ⚠️ (collision if same mem0.ai project)
  • With MEM0_ORG_ID=acme: /Users/alice/my-appacme-my-app-decisions

Memory Categories

Memories are automatically categorized based on content. Available categories:

CategoryKeywordsUse Case
paginationpagination, cursor, offsetAPI pagination patterns
securitysecurity, vulnerability, OWASPSecurity patterns and vulnerabilities
authenticationauth, JWT, OAuth, tokenAuthentication patterns
testingtest, pytest, jest, coverageTesting strategies
deploymentdeploy, CI/CD, Docker, KubernetesDeployment patterns
observabilitymonitoring, logging, tracing, metricsObservability patterns
performanceperformance, cache, optimizePerformance optimization
ai-mlLLM, RAG, embedding, LangChainAI/ML patterns
data-pipelineETL, streaming, batch processingData pipeline patterns
databasedatabase, SQL, PostgreSQL, schemaDatabase patterns
apiAPI, endpoint, REST, GraphQLAPI design patterns
frontendReact, component, UI, CSSFrontend patterns
architecturearchitecture, design, systemArchitecture patterns
patternpattern, convention, styleGeneral patterns
blockerblocked, issue, bugBlockers and issues
constraintmust, cannot, requiredConstraints
decisionchose, decided, selectedDecisions (default)

Cross-Tool Memory

Memories include source_tool metadata to support cross-tool memory sharing:

  • source_tool: "orchestkit-claude" - Memories from Claude Code
  • source_tool: "orchestkit-cursor" - Memories from Cursor (future)

Query memories by tool:

# Query Claude Code memories
filters={"AND": [{"metadata.source_tool": "orchestkit-claude"}]}

# Query all memories (any tool)
filters={"AND": [{"user_id": "my-project-decisions"}]}

Setup

Install mem0 Python SDK:

# Install the mem0ai package and dependencies
pip install mem0ai python-dotenv

# Or install from requirements file
pip install -r skills/mem0-memory/scripts/requirements.txt

Optional - Install mem0-skill-lib package (recommended for development):

# Install as editable package for proper type checking
pip install -e skills/mem0-memory/scripts/

Note: Scripts work in both modes:

  • Standalone mode (default): Scripts dynamically add lib/ to sys.path. Type checkers require # type: ignore comments for these dynamic imports.
  • Installed mode: If mem0-skill-lib is installed, scripts import from the installed package without type ignore comments.

Set environment variables:

Option 1: Using .env file (Recommended)

Create a .env file in your project root:

# Copy the example file
cp .env.example .env

# Edit .env and add your API key
MEM0_API_KEY=sk-your-api-key-here
MEM0_ORG_ID=org_...      # Optional (for organization-level scoping)
MEM0_PROJECT_ID=proj_... # Optional (Pro feature)
MEM0_WEBHOOK_URL=https://your-domain.com/webhook/mem0  # Optional

The scripts automatically load from .env if it exists.

Option 2: Shell environment variables

export MEM0_API_KEY="sk-..."
export MEM0_ORG_ID="org_..."      # Optional (for organization-level scoping)
export MEM0_PROJECT_ID="proj_..." # Optional (Pro feature)

Verify installation:

python3 -c "from mem0 import MemoryClient; print('✓ mem0ai installed successfully')"

Core Operations

Adding Memories

Execute the script via Bash tool:

!bash skills/mem0-memory/scripts/crud/add-memory.py \
  --text "Decided to use FastAPI over Flask for async support" \
  --user-id "project-decisions" \
  --metadata '{"scope":"project-decisions","category":"backend","date":"2026-01-12"}' \
  --enable-graph

Best practices for adding:

  • Be specific and actionable
  • Include rationale ("because...")
  • Add scope and category metadata
  • Timestamp important decisions

Searching Memories

!bash skills/mem0-memory/scripts/crud/search-memories.py \
  --query "authentication approach" \
  --user-id "project-decisions" \
  --limit 5 \
  --enable-graph

Search tips:

  • Use natural language queries
  • Search by topic, not exact phrases
  • Combine with scope filters when available
  • Enable graph (--enable-graph) to get relationship information in results

Graph Relationships in Search Results:

When --enable-graph is enabled, search results include:

  • relations array with relationship information
  • related_via field showing how results are connected
  • relationship_summary with relation types found

Graph Relationship Queries

Get Related Memories:

Query memories related to a given memory via graph traversal:

!bash skills/mem0-memory/scripts/graph/get-related-memories.py \
  --memory-id "mem_abc123" \
  --depth 2 \
  --relation-type "recommends"

Traverse Graph:

Multi-hop graph traversal for complex relationship queries:

!bash skills/mem0-memory/scripts/graph/traverse-graph.py \
  --memory-id "mem_abc123" \
  --depth 2 \
  --relation-type "recommends"

Example Use Cases:

  1. Multi-hop queries: "What did database-engineer recommend about pagination?" → Traverses: database-engineer → recommends → cursor-pagination → Returns related memories with relationship context
  2. Context expansion: Find a memory about "authentication" → Get related memories via graph (depth 2) → Discover related decisions, patterns, and recommendations
  3. Relationship filtering: --relation-type "recommends" # Only follow "recommends" relationships --relation-type "uses" # Only follow "uses" relationships

Listing Memories

!bash skills/mem0-memory/scripts/crud/get-memories.py \
  --user-id "project-orchestkit" \
  --filters '{"limit":100}'

Getting Single Memory

!bash skills/mem0-memory/scripts/crud/get-memory.py \
  --memory-id "mem_abc123"

Updating Memories

!bash skills/mem0-memory/scripts/crud/update-memory.py \
  --memory-id "mem_abc123" \
  --text "Updated decision text" \
  --metadata '{"updated":true}'

Deleting Memories

!bash skills/mem0-memory/scripts/crud/delete-memory.py \
  --memory-id "mem_abc123"

When to delete:

  • Outdated decisions that were reversed
  • Incorrect information
  • Duplicate or redundant entries

What to Remember

Good candidates:

  • Architecture decisions with rationale
  • API contracts and interfaces
  • Naming conventions adopted
  • Technical debt acknowledged
  • Blockers and their resolutions
  • User preferences and style

Avoid storing:

  • Temporary debugging context
  • Large code blocks (use Git)
  • Secrets or credentials
  • Highly volatile information

Memory Patterns

Decision Memory

"Decision: Use cursor-based pagination for all list endpoints.
Rationale: Better performance for large datasets, consistent UX.
Date: 2026-01-12. Scope: API design."

Pattern Memory

"Pattern: All React components export default function.
Convention: Use named exports only for utilities.
Applies to: frontend/src/components/**"

Continuity Memory

"Session handoff: Completed hybrid search implementation.
Next steps: Add metadata boosting, write integration tests.
PR #456 ready for review. Blocked on: DB migration approval."

Advanced Operations (Pro Features)

Batch Operations

Batch update up to 1000 memories:

!bash skills/mem0-memory/scripts/batch/batch-update.py \
  --memories '[{"memory_id":"mem_123","text":"updated"},{"memory_id":"mem_456","metadata":{"updated":true}}]'

Batch delete:

!bash skills/mem0-memory/scripts/batch/batch-delete.py \
  --memory-ids '["mem_123","mem_456","mem_789"]'

Memory History (Audit Trail)

!bash skills/mem0-memory/scripts/utils/memory-history.py \
  --memory-id "mem_abc123"

Exports (Data Portability)

Create export:

!bash skills/mem0-memory/scripts/export/export-memories.py \
  --filters '{"user_id":"project-decisions"}' \
  --schema '{"format":"json"}'

Retrieve export:

!bash skills/mem0-memory/scripts/export/get-export.py \
  --user-id "project-decisions"

Analytics

Get memory statistics:

!bash skills/mem0-memory/scripts/utils/memory-summary.py \
  --filters '{"user_id":"project-decisions"}'

List all users:

!bash skills/mem0-memory/scripts/utils/get-users.py

Webhooks (Automation)

!bash skills/mem0-memory/scripts/webhooks/create-webhook.py \
  --url "https://example.com/webhook" \
  --name "Memory Webhook" \
  --event-types '["memory.created","memory.updated"]'

Integration with OrchestKit

Use memories to maintain context across plugin sessions:

# At session start - recall project context
!bash skills/mem0-memory/scripts/crud/search-memories.py \
  --query "current sprint priorities" \
  --user-id "project-continuity"

# During work - persist decisions
!bash skills/mem0-memory/scripts/crud/add-memory.py \
  --text "Implemented feature using approach because reason" \
  --user-id "project-decisions" \
  --metadata '{"scope":"project-decisions"}'

# At session end - save continuity
!bash skills/mem0-memory/scripts/crud/add-memory.py \
  --text "Session end: summary. Next: next_steps" \
  --user-id "project-continuity" \
  --metadata '{"scope":"project-continuity"}'

Scripts Available

All scripts are located in skills/mem0-memory/scripts/:

Core Scripts:

  • add-memory.py - Store new memory
  • search-memories.py - Semantic search
  • get-memories.py - List all memories (with filters)
  • get-memory.py - Get single memory by ID
  • update-memory.py - Update memory content/metadata
  • delete-memory.py - Remove memory

Advanced Scripts (Pro Features):

  • batch-update.py - Bulk update up to 1000 memories
  • batch-delete.py - Bulk delete multiple memories
  • memory-history.py - Get audit trail for a memory
  • export-memories.py - Create structured export
  • get-export.py - Retrieve export data
  • memory-summary.py - Get statistics/analytics
  • get-events.py - Track async operations
  • get-users.py - List all users (analytics)
  • create-webhook.py - Setup webhooks for automation

Note: MCP integration is deprecated. Use scripts instead for better control, versioning, and access to all 30+ API methods.

Related Skills

  • semantic-caching - Semantic caching patterns that complement long-term memory
  • embeddings - Embedding strategies used by Mem0 for semantic search
  • langgraph-checkpoints - State persistence patterns for workflow continuity
  • context-compression - Compress context when memory retrieval adds too many tokens

Key Decisions

DecisionChoiceRationale
Memory scopeproject-decisions, project-patterns, project-continuityClear separation of memory types
Storage formatNatural language with metadataSemantic search works best with descriptive text
MCP integrationMem0 MCP serverNative Claude Desktop integration
What to avoidSecrets, large code blocks, volatile infoKeep memories clean and safe

Capability Details

memory-add

Keywords: add memory, remember, store, persist, save context Solves:

  • How do I save information for later sessions?
  • Persist a decision or pattern
  • Store project context across sessions

memory-search

Keywords: search memory, recall, find, retrieve, what did we Solves:

  • How do I find previous decisions?
  • Recall context from past sessions
  • Search for specific patterns or conventions

memory-list

Keywords: list memories, show all, get memories, view stored Solves:

  • How do I see all stored memories?
  • List project decisions
  • Review stored patterns

memory-delete

Keywords: delete memory, forget, remove, clear Solves:

  • How do I remove outdated memories?
  • Delete incorrect information
  • Clean up duplicate entries

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

26.94%
按下载量换算39

OpenCode

26.62%
按下载量换算38

Antigravity

19.51%
按下载量换算28

Gemini CLI

12.01%
按下载量换算17

windsurf

7.4%
按下载量换算11

trae

3.9%
按下载量换算6

安全审计

暂无安全审计结果可展示。

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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