EverMind
EverOS provides long-term memory infrastructure for AI agents, enabling continuous contextual understanding and behavioral consistency beyond standard context windows. The system organizes interaction streams into structured semantic memory through episodic trace formation, semantic consolidation, and reconstructive recollection—supporting personalized assistants, multi-user collaboration, and customer service applications. Available as open-source (EverMemOS) or managed cloud service with multimodal support for text, images, PDFs, and documents.
EverOS is a memory operating system that solves a fundamental limitation of large language models: their inability to maintain consistent, personalized interactions beyond fixed context windows. Rather than relying on brute-force context expansion, EverOS transforms unbounded interaction streams into a structured "digital brain" through a three-phase memory lifecycle—episodic trace formation, semantic consolidation, and reconstructive recollection. The system organizes memories into hierarchical semantic units and adaptive memory graphs, enabling AI agents to achieve deep personalization, temporal continuity, and long-term behavioral consistency. Available as both open-source (EverMemOS, 3730+ GitHub stars) and a managed cloud service, EverOS supports multimodal inputs including text, images, PDFs, and documents through a four-layer architecture inspired by human memory systems. Core API endpoints allow storing, retrieving, and searching memories with flexible filters and hybrid retrieval methods, while an MCP interface layer integrates with enterprise systems. The platform has achieved state-of-the-art benchmarks (LoCoMo 93.05%, LongMemEval-S 83%) and is designed for personalized AI assistants, multi-user collaboration, and customer service applications where continuous contextual understanding is essential.
The provider states they do not train on user Inputs/Outputs except in limited circumstances (Trust & Safety review, exp
No training opt-out mechanism was identified in the legal documents.
High risk across multiple dimensions. Only use with public, non-sensitive data.
The provider states they do not train on user Inputs/Outputs except in limited circumstances (Trust & Safety review, explicit feedback, or opt-in). However, they do train on publicly available internet sources and commercially licensed datasets, and the exception for 'flagged for trust and safety review' creates some ambiguity about user content usage.
“We do not use your Inputs or Outputs to train our AI models, except when flagged for Trust & Safety review, you explicitly report feedback, or you opt in.”
Users retain rights to Inputs, and the provider grants back all rights they have in Outputs. However, the provider claims ownership of all User Feedback without limitation, and retains broad rights to use User Content for service improvement and development.
“You retain all rights to your Inputs. For Outputs, we grant you all rights we may have in such Outputs.”
Data is disclosed to multiple categories of third parties including service providers, business partners, legal/compliance entities, and third-party integrations. The broad categories and mention of 'Business Transfers' create significant third-party sharing risk.
“We may disclose to: Internal & Affiliated Entities, Service Providers & Business Partners (hosting, compliance, research, payment processing, customer support), Legal & Compliance, Business Transfers, Third-Party Integrations, and with Your Consent.”
The provider states data is retained 'only as long as necessary for legitimate business needs or legal compliance,' which is reasonably protective but vague. Users have deletion rights depending on jurisdiction, but no explicit commitment to immediate deletion upon request.
“We retain personal data only as long as necessary for legitimate business needs or legal compliance.”
Users retain rights to Inputs and receive all rights the provider has in Outputs. However, the provider claims full ownership of User Feedback without compensation or limitation, which is a notable IP risk.
“you agree that we shall own all right, title, and interest in and to such User Feedback.”
No mention of SOC2, GDPR, HIPAA, ISO 27001, or other standard compliance certifications. The provider only mentions 'industry-standard technical and organizational security measures' without specific certifications.
“We implement industry-standard technical and organizational security measures including encryption (both in transit and at rest), a comprehensive Information Security Program, advanced malware protection, and robust access controls.”
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