Turn stateless LLMs into intelligent agents that can truly remember.
EverOS is the foundational Memory Operating System designed to maintain context across days, sessions, and platforms.
Profile Memory
for long-term identities and preferences
Procedural Memory
for mastering workflows.
Unlock the power of your unstructured data with our native multimodal memory ingestion. EverOS's mRAG (Multimodal Retrieval-Augmented Generation) seamlessly parses and stores diverse file formats—from PDFs and images to Word documents and spreadsheets—through a single API. Powered by a sophisticated Hybrid Retrieval mechanism that combines dense vector search with sparse keyword matching, EverOS guarantees precise, context-aware recall across complex datasets, ensuring your agents always access the right information at the right time.
Ever OS
Self-Evolving Skill Memory
Transform your AI from a static tool into an entity that learns and improves over time. EverOS introduces a groundbreaking Skill Self-Evolution mechanism. Through its offline consolidation pipeline, the system actively records agent execution trajectories (Cases) and automatically distills successful patterns into reusable Skill Memories. Instead of starting from scratch on every task, your agents leverage these non-parametric, evolving skills to significantly reduce token usage, boost success rates, and accelerate response times.
Flexible Scoping for Isolation and Sharing
EverOS provides a powerful multi-level scope system—spanning global → team → project → group → session—that gives developers precise control over where each memory lives and who can access it.
Combined with orthogonal user_id and agent_id ownership, the system enables seamless interoperability between users and agents. This design achieves both effective memory isolation, keeping sensitive data strictly scoped, and flexible memory sharing, enabling collaborative intelligence across complex multi-agent workflows.
Full-Lifecycle Memory Management
EverOS covers every stage of the memory lifecycle, giving developers complete, end-to-end control. Boundary Detection intelligently segments conversation streams; Online Memory Extraction captures valuable information in real time; and the asynchronous Offline Memory Evolution pipeline handles deep consolidation in the background. Retrieval is powered by Progressive Disclosure, loading memories in three tiers to optimize context injection. For developer workflows, EverOS natively supports Markdown file-based memory management and full CLI operations, making it easy to version, sync, and audit memories just like code.
Tier 1
Tier 2
Tier 3
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