Overview
EverMemOS is an AI-native operating system for building agents and applications with true long-term memory, persistent identity, and evolving intelligence. Powered by the EverMind platform, it gives developers a unified layer for storing, retrieving, and reasoning over everything an agent has ever seen, done, or learned—across sessions, devices, and deployments.
Instead of fragile, stateless prompts, EverMemOS lets you compose agents that remember users, refine their own behavior over time, and coordinate multiple open-source or proprietary models behind a single, coherent personality. Its memory-first architecture abstracts away vector stores, embeddings, and context management, so you can focus on product logic while EverMemOS automatically optimizes what to remember, forget, and surface.
Running on the new EverMind cloud, EverMemOS ships with APIs, SDKs, and reference blueprints tailored to AI developer workflows: from copilots and customer support agents to research assistants and autonomous tools. It seamlessly connects to your existing data sources and model providers, allowing you to plug memory-aware intelligence into any stack with minimal changes.
As EverMemOS enters beta, the Memory Genesis Competition 2026 invites developers to push the limits of lifelong agents, novel memory architectures, and emergent behaviors. Whether you're prototyping a single agent or designing an entire agentic platform, EverMemOS provides the foundation for durable, adaptive AI systems that improve continuously with every interaction.
Pricing
Free
Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.
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Use Cases
- Build AI copilots that remember project history, coding style, and past decisions to provide more precise suggestions over time.
- Create customer support agents that persist user context, preferences, and previous tickets across channels and sessions.
- Develop research and analysis agents that accumulate domain knowledge, sources, and prior conclusions for deeper reasoning.
- Prototype multi-agent systems where specialized agents share a common memory space and coordinate through EverMemOS.
- Instrument existing AI applications with a durable memory layer to reduce prompt complexity and improve relevance.
Features
Unified long-term memory layer
Persistent multi-session user identity
Model-agnostic agent orchestration
Automatic context and memory management
SDKs and APIs for fast integration
Pluggable with open-source AI models
Cloud-native scalability and reliability
Competition-ready experimentation tooling
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FAQ
What is EverMemOS and who is it for?
EverMemOS is an AI operating system focused on long-term memory, persistent identity, and agent orchestration. It is designed for developers and teams building AI agents, copilots, and applications that need durable, evolving intelligence rather than stateless prompts.
How does EverMemOS handle long-term memory for agents?
EverMemOS provides a unified memory layer that stores structured and unstructured interactions, automatically indexes them, and surfaces relevant context to agents at runtime. It abstracts away vector databases and context-window limits so developers can rely on a consistent memory API instead of manually managing prompts and retrieval logic.
Which AI models and tools does EverMemOS support?
EverMemOS is model-agnostic and works with open-source and proprietary AI models. You can plug in your preferred LLM providers, self-hosted models, and existing tools while letting EverMemOS handle identity, memory, and orchestration across them.
Is EverMemOS really free to use during beta?
Yes. EverMemOS is currently free to use during its beta period on the EverMind cloud platform. Usage limits and future pricing tiers may be introduced later, but developers can start building, testing, and participating in the Memory Genesis Competition 2026 at no cost.
How do I get started with EverMemOS and the Memory Genesis Competition 2026?
Visit the EverMemOS page at evermind.ai to sign up for beta access, explore the documentation, and install the SDKs. From there, you can follow starter templates to build your first memory-aware agent and register your project for the Memory Genesis Competition 2026 directly through the platform.