MemMachine - Open Source AI Memory System by MemVerge

What is MemMachine

MemMachine is an open source AI memory system developed by MemVerge, designed for AI large models and intelligences, which can store and recall interaction data like the human brain, solving the problem of AI "stateless memory loss". It adopts layered architecture (short-term memory, long-term memory, user image), supports cross-model calling, and has an accuracy rate of 92.34%, leading the industry with a score of 84.87% in the LOCOMO benchmark test. Its technology has been applied to scenarios such as medical escorts, intercepting 83% medication errors, and plans to expand into the $28.45 billion AI memory market by 2030. The Enterprise Edition offers a secure and compliant commercial solution, and the open source project is available via GitHub.

Features of MemMachine

• Multiple memory types: Supports short-term working memory, long-term persistent memory, and personalized archival memory, enabling the construction of complex and evolving user profiles across multiple sessions, agents, and large language models.
• Intelligent Memory Extraction and Integration: Intelligent extraction, updating and integration of user-relevant information from the session using Large Language Models (LLMs) to automatically de-duplicate and optimize memory structures.
• semantic search: Semantic search of stored memories to quickly retrieve the most relevant context for the current query.
• Developer Friendly API: Provides RESTful APIs, Python SDK and Model Context Protocol (MCP) interface, which facilitates LLM clients to invoke the memory service directly.
• Session and Lifecycle Management: Automatically manages session creation, reference counting and destruction to ensure efficient utilization of memory resources.
• Scalable Architecture: Modular design with support for multiple embedders, reorderers, and vector graph storage backends (e.g., Neo4j) that are easy to extend and customize.

MemMachine's core strengths

• Solving the problem of "stateless amnesia": While modern AI models typically lose context after each interaction, MemMachine provides a persistent intelligent memory layer that retains situational memory, personal memory, and procedural knowledge.
• Enhancing the quality of interactions: Transform ordinary AI chatbots into personalized, context-aware AI assistants that understand and respond with greater precision and depth.
• Cross-platform compatibility: Seamless support for OpenAI, Claude, Gemini, Grok, Llama, DeepSeek, Qwen, and other major large-scale language models that can be deployed in any cloud environment or locally.
• Security and Compliance: The open source version can be deployed in a private cloud or local environment to ensure data security.

What is MemMachine's official website?

• Project website:: https://memmachine.ai/
• GitHub repository:: https://github.com/MemMachine/

Who MemMachine is for

• AI developer: You can use MemMachine to add memory functionality to your AI apps, improving the AI's interactive capabilities and user experience, and being able to better handle complex conversations and tasks.
• Corporate Technical Team: For organizations that need to integrate smart memory capabilities into their business, technology teams can deploy MemMachine to build smarter customer service, sales support, medical consulting, and other systems to improve business efficiency and customer satisfaction.
• Data scientists and researchers: In researching the memory mechanism of AI, optimization of dialogue system, etc., MemMachine can be used as an experimental platform to help them explore and improve the memory and learning ability of AI.
• Users of large-scale language models: If users are working with large language models such as OpenAI, Claude, etc., and want these models to have more persistent and intelligent memories to support more complex tasks, MemMachine is an ideal choice.
• Businesses that need personalized service: For example, financial institutions and healthcare organizations can use MemMachine to personalize the service experience for their customers, such as remembering their investment preferences, medical history, and other information, in order to provide more accurate services.
• Contributors and enthusiasts in the open source community: Developers and enthusiasts interested in open source projects can participate in the development and improvement of MemMachine, and work together to promote the development of the project, as well as to learn and learn from its technical architecture and implementation.