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MemOS - an open-source AI memory management platform that supports multiple memory types.

MemOS is an open-source AI memory management operating system that provides long-term memory capabilities for intelligent agents and AI applications. MemOS supports various memory types (such as text-based memory, activation memory, parameter-based memory, etc.) through a unified memory abstraction layer.

What is MemOS?

MemOS is an open-source AI memory management operating system that provides long-term memory capabilities for intelligent agents and AI applications. Through a unified memory abstraction layer, MemOS supports various memory types (such as text memory, activation memory, and parameter memory) and features dynamic knowledge graphs, memory scheduling, and lifecycle management. MemOS enables AI systems to remember past user information like humans, proactively recalling memories in subsequent interactions for a more coherent and personalized conversational experience. MemOS's powerful memory scheduling and storage capabilities overcome the limitations of traditional RAGs, making it suitable for various scenarios such as personalized assistants and team knowledge bases.

Main functions of MemOS

  • Long-term memory storageMemOS offers various memory types, including text memory, activation memory, and parameter memory, and combines dynamic knowledge graphs to achieve structured memory, supporting long-term information storage and deep association.
  • Memory scheduling and managementMemOS enables fast, context-aware memory access and improves response efficiency through predictive scheduling, omnidirectional scheduling, and asynchronous advanced retrieval.
  • Memory lifecycle managementMemOS provides a unified interface to support the saving, updating, migration, and rollback of memories, ensuring the persistence and consistency of memories.
  • Personalization and consistencyMemOS can remember user habits, preferences and other information to enable personalized dialogue, and maintain this memory across sessions and applications to ensure consistent interaction.
  • Open extensibilityMemOS provides a flexible API interface that supports integration with existing frameworks. Developers can customize memory modules and data sources to meet diverse needs.
  • Multi-scenario supportThe tool is suitable for various scenarios such as personalized assistant, team knowledge base, and family life assistant, and can be expanded to include functions such as AI calendar and intelligent writing assistant.
  • Performance optimizationThrough multi-layer memory scheduling and asynchronous retrieval mechanisms, MemOS significantly improves the performance and accuracy of memory retrieval, and reduces hallucinations.

How to use MemOS

  • Use cloud platform APIsVisit the MemOS official website https://memos.openmem.net/, register an account to obtain an API key, and quickly add memory functionality to your application by calling the official API interface without local deployment.
  • Local deploymentCloning the code from the MemOS GitHub repository https://github.com/MemTensor/MemOS, installing dependencies, configuring the environment, and starting the local service allows you to use all the features of MemOS in your local environment, which is suitable for scenarios that require high customization.
  • Using the Python SDK:pass pip install MemoryOS Install the MemOS Python SDK to easily integrate memory management functionality locally or on a server using the interfaces provided by the SDK, enabling rapid development and testing.
  • Using MOSBy configuring MOS (Memory Operating System), multiple MemCubes can be managed to achieve cross-module memory scheduling and unified management, which is suitable for multi-agent collaboration or complex application architectures.
  • Download sample code:run memos download_examples The command downloads the official sample code and configuration files, allowing you to quickly understand and practice the features of MemOS by referring to the examples.

MemOS project address

  • Project official websitehttps://memos.openmem.net/
  • GitHub repository: https://github.com/MemTensor/MemOS
  • arXiv technical paper: https://arxiv.org/pdf/2507.03724

Application scenarios of MemOS

  • Personalized AssistantBy remembering users' preferences and habits, MemOS provides users with intelligent assistant services that are more tailored to their individual needs, thus enhancing the interactive experience.
  • Team Knowledge BaseTransform fragmented conversations among team members into a structured knowledge base, facilitating multi-person collaboration and knowledge sharing.
  • Home life assistantIt records the living habits and daily schedules of family members, provides intelligent reminders and personalized suggestions, and enhances the convenience of family life.
  • Intelligent writing assistantBased on users' writing habits and styles, it provides personalized writing suggestions and content generation to improve writing efficiency.
  • AI CalendarCombined with memory function, it automatically records and reminds you of important dates and events, such as birthdays and anniversaries, providing more thoughtful schedule management.
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