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EverMind

EverMind is an AI platform for foundational memory infrastructure. Ideal for AI developers and researchers, it helps solve AI's memory loss problem by enabling intelligent agents with near-infinite context and long-term consistency.

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January 8th, 2026

About EverMind

EverMind is an AI platform that helps AI developers and researchers build intelligent agents that shatter the fundamental limitation of modern AI: its inability to remember, without models being stateless and amnesiac.

Operating inside the foundational AI memory infrastructure, it uses EverMemOS, a revolutionary memory operating system built on 'Layered Memory Extraction' architecture, to deliver finished results while you focus on strategy.

Pricing – Custom AI development and consulting services; pricing not publicly available.

šŸŒ Why Choose EverMind?

āœ… AI agents gain continuous, near-infinite memory and long-term consistency.
āœ… Pioneering hierarchical memory architecture and dynamic organization.
āœ… Verifiable, state-of-the-art performance on industry benchmarks.
āœ… Open-source and reproducible results for transparent development.
āœ… Enables AI to evolve and act as a continuous, personalized partner.

🌐 Discover EverMind and thousands of other AI tools on Beyond The AI - your trusted directory for AI solutions.

Key Features

8 features
  • Open-source AI memory platform including EverMemOS, EverMemModel, and EverMemBench.
  • Provides near-infinite, long-term memory for AI models.
  • Enables persistent identity for AI agents across interactions.
  • Utilizes hierarchical memory extraction and dynamic organization (MemUnits, adaptive memory graphs).
  • Transforms memory from simple retrieval into active application for reasoning.
  • Achieves state-of-the-art performance on demanding AI memory benchmarks.
  • Offers an extensible modular memory framework for diverse applications.
  • Supports the development of long-running conversational agents.

Use Cases

6 use cases
  • Building personalized AI assistants with continuous contextual understanding.
  • Facilitating multi-user collaboration that requires long-term knowledge retention.
  • Enhancing customer service scenarios with consistent, coherent AI interactions.
  • Developing AI applications requiring improved continuity and advanced reasoning capabilities.
  • Enabling AI to evolve from static tools into continuous, personalized partners.
  • Architecting foundational memory infrastructure for next-generation intelligent agents.
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