EverMind

EverMind is a memory infrastructure platform for AI agents, with its core product EverOS, positioned as the "memory operating system for AI agents." It is dedicated to providing AI with continuous, near-infinite memory and long-term identity, transforming stateless large language models into agents that can truly remember information, enabling them to maintain context across multiple days, multiple sessions, and different platforms, and to continuously evolve over time.

Purpose and Problem Background EverMind believes that modern AI agents generally suffer from a "memory gap": the problem is not the model itself, but the lack of a memory layer. This manifests specifically as follows: each session starts from scratch; the context window is at most 128K-200K tokens and disappears once exceeded; traditional RAG can only retrieve similar text chunks and lacks deep understanding; most systems are designed only for a single user plus a single AI, failing to meet the enterprise needs of cross-platform multi-agent collaboration; facts change, but memory systems do not track time, so AI cannot distinguish current facts from outdated information. EverMind emphasizes that "memory is the dividing line between tools and agents."

Main Capabilities EverOS is based on EverCore, natively supports non-parametric, self-evolving Skill Memory, and provides a flexible framework to adapt to different agent architectures and use cases.

1. mRAG multimodal retrieval and ingestion: introduces multimodal retrieval strategies and implements cross-modal search through hybrid methods, making it easy to retrieve the correct context from complex data; it can parse and store data types such as PDFs, images, Word documents, spreadsheets, presentations, emails, HTML pages, text files, and URLs through a single API.
2. Self-evolving agent memory: records agent trajectories as Cases, distills recurring patterns into reusable Skills, and enables agents to learn from past experience and improve as tasks progress, rather than starting from scratch each time.
3. Memory Bank transparent memory management: provides an interface to clearly view stored memories, including user memory, group memory, and agent memory, and supports inspecting, managing, and even editing generated Skills.
4. Long-term identity and data sovereignty: EverMind states that it does not build a brain, but builds memory; its high-fidelity LTM system can scale infinitely, and data sovereignty always belongs to users.
5. EverMemOS: a memory mechanism inspired by memory traces that structures conversations into MemCells and thematic MemScenes, enabling precise context-aware retrieval, and is intended to solve the problems in long-term LLM interactionsContext window limits. It is officially claimed to achieve 92.73% accuracy on the LoCoMo long-term dialogue system.

Performance benchmarks EverMind emphasizes that it does more than claim SOTA; it also proves it with open-source benchmarks that anyone can reproduce. Official information shows that its system achieves 92.73% accuracy on the LoCoMo long-term dialogue benchmark, and it lists comparisons with traditional RAG, full context windows, and other memory infrastructures across dimensions such as long-term memory, retrieval latency, token efficiency, temporal knowledge tracking, multi-agent group memory, hierarchical memory organization, and context window limits.

Use cases EverMind targets a variety of scenarios: multi-agent systems that require coordination and task allocation; personalized AI companions that require long-term emotional understanding and behavioral consistency; corporate knowledge bases that build organizational memory that evolves with the team; customer support intelligence that remembers past issues, resolution history, customer preferences, and communication style; wearable hardware that processes fragmented interactions, visual cues, and voice commands into structured patterns; as well as 'Earth Online' memory-aware productivity games, missing children reunification platforms (semantic matching, AI memory guidance, progressive memory updates), and empathetic AI wearables with memory.

Deployment methods and usage EverOS provides two deployment paths: EverOS Cloud is a fully managed cloud solution that works out of the box, with automatic scaling and maintenance, including enterprise support; it can also run the full memory stack on your own infrastructure, managing context, mRAG, and offline memory, inspecting every layer, and owning the data. Officials also provide a standalone demo that can be tried without a key: initialize and add an OpenRouter key, add and retrieve the first memory, and a complete step-by-step guide is included.

Limitations and information not yet provided Regarding pricing, specific billing plans, platform compatibility details, API rate limits, and similar matters, the available materials do not yet provide information. Some features (such as the detailed implementation of EverMemOS) are only described in overview terms.