Mem0

Mem0 Plugin for Claude Code

Complete AI memory management plugin supporting Platform (hosted) and Open Source (self-hosted with Supabase) deployment modes

Overview

Mem0 plugin provides intelligent memory management for AI applications, enabling persistent conversation memory, user preference tracking, and knowledge graph construction. Seamlessly integrates with Vercel AI SDK, LangChain, CrewAI, and other AI frameworks.

Key Features

✅ Dual Deployment Modes: Platform (managed) or OSS (self-hosted with Supabase) ✅ Automatic Integration: Detects and integrates with existing AI frameworks ✅ Graph Memory: Track relationships between memories and entities ✅ Production-Ready: Security, performance, and compliance built-in ✅ Zero Config: Intelligent defaults with optional customization ✅ Complete Toolkit: 9 commands, 3 agents, 3 comprehensive skills

Quick Start

Installation

The plugin is part of the ai-dev-marketplace:

# Plugin is auto-installed with ai-dev-marketplace
# Or manually install if needed
claude plugin install mem0@ai-dev-marketplace

Initialize Mem0

# Interactive setup (asks MCP vs Platform vs OSS)
/mem0:init

# MCP mode (local OpenMemory, private & cross-tool)
/mem0:init-mcp

# Platform mode (hosted, 2-minute setup)
/mem0:init-platform

# OSS mode (self-hosted with Supabase)
/mem0:init-oss

Add Memory to Your App

# Automatically integrates with detected framework
/mem0:add-conversation-memory

# Add user preference tracking
/mem0:add-user-memory

# Enable graph memory (relationships)
/mem0:add-graph-memory

Test & Validate

# Comprehensive testing and validation
/mem0:test

Commands

Command	Description
/mem0:init	Initialize Mem0 (asks MCP vs Platform vs OSS)
/mem0:init-mcp	Setup local OpenMemory MCP server
/mem0:init-platform	Setup hosted Platform mode
/mem0:init-oss	Setup self-hosted with Supabase
/mem0:add-conversation-memory	Add conversation tracking
/mem0:add-user-memory	Add user preference tracking
/mem0:add-graph-memory	Enable graph relationships
/mem0:configure	Configure memory settings
/mem0:test	Comprehensive testing
/mem0:migrate-to-supabase	Migrate Platform → OSS

Agents

mem0-integrator

Setup and integration specialist. Detects frameworks, generates integration code, configures Supabase persistence.

Use for: Initial setup, framework integration, Supabase configuration

mem0-memory-architect

Memory architecture design specialist. Recommends memory patterns, designs schemas, plans retention strategies.

Use for: Architecture decisions, schema design, optimization planning

mem0-verifier

Validation and testing specialist. Tests operations, benchmarks performance, audits security.

Use for: Setup validation, performance testing, security audits

Skills

memory-design-patterns

Best practices for memory architecture with decision frameworks, pattern templates, and case studies.

16 files: Functional scripts, architecture templates, real-world examples

supabase-integration

Complete Supabase setup for Mem0 with pgvector, RLS policies, migrations, and security best practices.

16 files: Setup scripts, SQL templates, integration examples

memory-optimization

Performance optimization with query tuning, caching strategies, and cost reduction techniques.

16 files: Analysis tools, optimization templates, benchmarking examples

Documentation

• Overview - What is Mem0 and why use it
• Platform vs OSS - Decision guide and comparison
• Supabase Setup - OSS mode configuration
• API Reference - Memory operations API

Architecture

With AI Tech Stack 1

┌─────────────────────────────────────┐
│ AI Tech Stack 1 Foundation          │
│ ├── Next.js (Frontend)              │
│ ├── Vercel AI SDK (AI Orchestration)│
│ ├── Supabase (Database + Auth)      │
│ ├── Mem0 (Memory Layer) ← THIS     │
│ └── FastMCP (Tool Infrastructure)   │
└─────────────────────────────────────┘

Memory Types

User Memory: Persistent preferences and profile data Agent Memory: Agent-specific knowledge and patterns Session Memory: Temporary conversation context

Storage Options

Vector Memory (Default): Fast semantic search, simple setup Graph Memory (Advanced): Relationship tracking, knowledge graphs

Deployment Modes Comparison

	MCP (Local)	Platform	OSS (Supabase)
Setup	3 minutes	2 minutes	5 minutes
Cost	Free (local)	$25-100/mo	$0-25/mo
Data Location	Local only	Cloud	Your choice
Cross-tool	✅ Yes	❌ No	❌ No
Privacy	100% private	Managed	Full control
Compliance	DIY	SOC 2 ✅	DIY

Recommendations:

• MCP for local development & cross-tool memory
• Platform for prototyping & enterprise
• OSS for production at scale

Full comparison →

Use Cases

Chatbots & Assistants

Remember user preferences, conversation history, personalized responses

Customer Support

Track interaction history, maintain context, provide relevant solutions

AI Tutors

Learn student knowledge, adapt teaching style, track progress

Multi-Agent Systems

Share knowledge between agents, maintain system context

Knowledge Management

Build knowledge graphs, semantic search, document relationships

Integration Examples

With Vercel AI SDK

import { MemoryClient } from 'mem0ai';
import { streamText } from 'ai';

const memory = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });

// Retrieve memories before generation
const memories = await memory.search({ query, user_id });

// Use in context
const result = await streamText({
  model: claude('claude-sonnet-4')
  messages: [
    { role: 'system', content: `Context: ${memories}` }
    { role: 'user', content: query }
  ]
});

// Store new memories
await memory.add(result.text, { user_id });

With Supabase (OSS)

from mem0 import Memory

# Configure Mem0 to use Supabase
config = {
    "vector_store": {
        "provider": "postgres"
        "config": {
            "host": os.getenv("SUPABASE_DB_HOST")
            "database": "postgres"
            "user": "postgres"
            "password": os.getenv("SUPABASE_DB_PASSWORD")
        }
    }
}

memory = Memory.from_config(config)

Performance

Platform Mode

• Add memory: < 500ms (p95)
• Search memory: < 200ms (p95)
• Auto-scaling, managed infrastructure

OSS Mode (Supabase, optimized)

• Add memory: < 400ms (p95)
• Search memory: < 150ms (p95)
• Full control over tuning

Security

Platform

• SOC 2 compliant
• Encryption at rest/transit
• Enterprise SSO
• Audit logs

OSS (Supabase)

• Row-level security (RLS)
• User/tenant isolation
• Full encryption control
• GDPR compliance tools

Requirements

Platform Mode

• Python 3.8+ or Node.js 14+
• Mem0 API key (from app.mem0.ai)

OSS Mode

• Python 3.8+ or Node.js 14+
• Supabase project
• PostgreSQL with pgvector

Development

Project Structure

plugins/mem0/
├── .claude-plugin/
│   └── plugin.json          # Plugin metadata
├── agents/
│   ├── mem0-integrator.md   # Setup specialist
│   ├── mem0-memory-architect.md  # Design specialist
│   └── mem0-verifier.md     # Testing specialist
├── commands/
│   ├── init.md              # Main initializer
│   ├── init-platform.md     # Platform setup
│   ├── init-oss.md          # OSS setup
│   ├── add-conversation-memory.md
│   ├── add-user-memory.md
│   ├── add-graph-memory.md
│   ├── configure.md
│   ├── test.md
│   └── migrate-to-supabase.md
├── skills/
│   ├── memory-design-patterns/  # Architecture best practices
│   ├── supabase-integration/    # Supabase setup
│   └── memory-optimization/     # Performance tuning
├── docs/
│   ├── overview.md
│   ├── platform-vs-oss.md
│   ├── supabase-setup.md
│   └── api-reference.md
└── README.md

Contributing

This plugin is part of the ai-dev-marketplace. Contributions welcome!

1. Fork the repository
2. Create feature branch
3. Follow existing patterns
4. Test thoroughly
5. Submit pull request

Resources

Mem0

• Documentation: https://docs.mem0.ai
• Platform Dashboard: https://app.mem0.ai
• GitHub: https://github.com/mem0ai/mem0
• Discord: https://mem0.dev/DiD

AI Tech Stack 1

• Definition: See plugins/domain-plugin-builder/docs/frameworks/plugins/ai-tech-stack-1-definition.md
• Other Plugins: vercel-ai-sdk, supabase, fastmcp, claude-agent-sdk

License

MIT License - See LICENSE file for details

Support

• Plugin Issues: https://github.com/vanman2024/ai-dev-marketplace/issues
• Mem0 Support: https://docs.mem0.ai or Discord
• Community: Join the AI Dev Marketplace Discord

Version

1.0.0 - Initial release with complete Platform and OSS support

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Part of AI Tech Stack 1 - Complete foundation for AI applications

Made with ❤️ by the AI Dev Marketplace team