OpenMemory
OpenMemory MCP is mem0’s official MCP server designed to store, organize, and manage your memories with topics, emotions, and timestamps.
It allows you to personalize AI interactions, maintain context across different tools, and retain full control over your data.
Key Features
- 🧠 Local-first memory storage
- 🔄 Seamless context sharing across AI tools
- 🔒 Privacy-focused design
- 🏷️ Rich metadata tagging
- 🕰️ Timestamp-based organization
- 🔍 Advanced search capabilities
Use Cases
- Developer productivity: Track debugging trails, recall code snippets, and maintain project context across different development sessions.
- AI prompt optimization: Store and refine successful AI prompts, improving interaction quality over time with tools like Claude or Cursor.
- Personal knowledge management: Journal thoughts, track meeting insights, and reflect on mood patterns for personal growth.
- Cross-tool consistency: Maintain coherent interactions when switching between AI-powered applications, preserving context and preferences.
How to Use It
Installation:
- Download OpenMemory MCP from the official website
- Run the installer and follow the on-screen instructions
- Launch the application
Creating memories:
- Click “New Memory”
- Enter your memory content
- Add relevant tags, emotions, and timestamps
- Click “Save”
Organizing memories:
- Use the sidebar to browse by topics or emotions
- Utilize the search bar for specific queries
- Filter memories by date ranges
Integrating with AI tools:
- Enable OpenMemory MCP in supported applications (e.g., Claude, Cursor)
- Grant necessary permissions for memory access
- Start your AI interactions with enriched context
Managing privacy:
- Access settings to control which applications can read or create memories
- Set expiration dates for sensitive information
- Review and manage application access logs
FAQs
Q: What makes OpenMemory MCP different from cloud-based note-taking apps?
A: OpenMemory MCP prioritizes privacy by storing all data locally on your device. It’s designed specifically for AI interaction enhancement, offering seamless integration with various AI tools while keeping you in control of your data.
Q: Can I sync my memories across devices?
A: Currently, OpenMemory MCP is a local-first application without built-in sync functionality. However, you can use third-party file syncing solutions to keep your memory database consistent across devices if needed.
Q: How does OpenMemory MCP ensure the privacy of my data?
A: OpenMemory MCP stores all memories locally on your device. It employs permission-based access for AI tools, allowing you to control what information is shared and with which applications. You can also set expiration dates for memories and review access logs.
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FAQs
Q: What exactly is the Model Context Protocol (MCP)?
A: MCP is an open standard, like a common language, that lets AI applications (clients) and external data sources or tools (servers) talk to each other. It helps AI models get the context (data, instructions, tools) they need from outside systems to give more accurate and relevant responses. Think of it as a universal adapter for AI connections.
Q: How is MCP different from OpenAI's function calling or plugins?
A: While OpenAI's tools allow models to use specific external functions, MCP is a broader, open standard. It covers not just tool use, but also providing structured data (Resources) and instruction templates (Prompts) as context. Being an open standard means it's not tied to one company's models or platform. OpenAI has even started adopting MCP in its Agents SDK.
Q: Can I use MCP with frameworks like LangChain?
A: Yes, MCP is designed to complement frameworks like LangChain or LlamaIndex. Instead of relying solely on custom connectors within these frameworks, you can use MCP as a standardized bridge to connect to various tools and data sources. There's potential for interoperability, like converting MCP tools into LangChain tools.
Q: Why was MCP created? What problem does it solve?
A: It was created because large language models often lack real-time information and connecting them to external data/tools required custom, complex integrations for each pair. MCP solves this by providing a standard way to connect, reducing development time, complexity, and cost, and enabling better interoperability between different AI models and tools.
Q: Is MCP secure? What are the main risks?
A: Security is a major consideration. While MCP includes principles like user consent and control, risks exist. These include potential server compromises leading to token theft, indirect prompt injection attacks, excessive permissions, context data leakage, session hijacking, and vulnerabilities in server implementations. Implementing robust security measures like OAuth 2.1, TLS, strict permissions, and monitoring is crucial.
Q: Who is behind MCP?
A: MCP was initially developed and open-sourced by Anthropic. However, it's an open standard with active contributions from the community, including companies like Microsoft and VMware Tanzu who maintain official SDKs.
