MemOS is a memory management operating system designed for artificial intelligence applications, providing scalable and persistent memory infrastructure for AI agents and systems. The platform addresses the challenge of enabling AI to retain long-term context and personalization across tasks and scenarios, supporting continuous memory and adaptive growth for intelligent workflows in both enterprise and personal settings.
The system offers a unified API for memory operations such as preservation, update, transfer, and rollback, allowing seamless integration of structured memory into models and agents. MemOS features a layered architecture that unifies different memory types and enables dynamic retrieval and updates, supporting smarter adaptive learning. Predictive and intent-aware scheduling is used to preload relevant memory based on dialogue history, task semantics, or environmental cues, enhancing efficiency and responsiveness. The platform also supports memory sharing across models, devices, and applications, making memory persistent and portable for collaborative and adaptive use.
MemOS is suitable for a wide range of deployment scenarios, including public cloud, private cloud, on-premises, and hybrid architectures, catering to the needs of startups and large enterprises alike. It is model-agnostic and compatible with agent frameworks, retrieval-augmented generation (RAG) setups, and major model ecosystems. Integration is designed to be rapid, often requiring only a few lines of code, and the system maintains millisecond-level response times even under heavy concurrency for reliable enterprise use. Management features include full lifecycle control of memory, batch cleanup, tagging, and governance, with consistency and low latency under load.
The platform is available in multiple forms, including MemOS Cloud for ready-to-use cloud memory services with fast integration, and MemOS Lite for local-first scenarios with zero cloud dependency. It is also offered as an open-source solution, enabling deep customization and secondary development. MemOS is positioned as a universal memory stack for intelligent applications, supporting both enterprise and personal use cases, and is evaluated on benchmarks such as LoCoMo and LongMemEval using large language model-based metrics.
In the Other AI space, INTELLIGENCE BEGINS WITH MEMORY takes a focused approach. It enables AI agents and applications to have persistent, scalable, and reliable long-term memory for improved personalization and task performance. It is built as a B2B product for AI developers and enterprises. INTELLIGENCE BEGINS WITH MEMORY follows a freemium model, with paid plans starting at $10. INTELLIGENCE BEGINS WITH MEMORY is available on the web and embeddable surfaces.
Behind INTELLIGENCE BEGINS WITH MEMORY is MindDock, and the product first shipped in 2025. Development happens publicly on GitHub with 9.9k stars and 614 commits in the last 90 days. Key capabilities include AI memory integration, continuous memory, and personalization. It exposes integrations via an MCP server and a public API.
Latest indexed changes and source events
Other apps tracked under the same category.