Overview

EverMind addresses the critical "memory gap" in modern AI agents by providing EverOS, an open-source memory operating system designed for persistent, proactive, and self-evolving intelligence. Traditional large language models (LLMs) often struggle with maintaining context beyond limited windows, leading to repetitive interactions and an inability to learn from past experiences. EverOS overcomes this by equipping agents with a continuous memory layer that allows them to remember across days, sessions, and platforms.

The platform features multimodal retrieval and ingestion (mRAG), enabling cross-modal search across various memory types. It can parse and store diverse data formats, including PDFs, images, Word documents, spreadsheets, presentations, emails, HTML pages, and text files, all through a single API. EverOS records agent trajectories as "Cases" and distills repeated patterns into reusable "Skills," allowing agents to learn and improve over time instead of starting from scratch on every task. This self-evolving memory mechanism is crucial for developing intelligent agents that exhibit consistency and adapt to changing facts.

EverOS also offers a transparent Memory Bank interface, providing users with a clear view into stored memories, including user, group, and agent memory. This interface allows for inspection, management, and even editing of generated skills. Use cases for EverMind's technology span multi-agent systems requiring sophisticated coordination, personalized AI companions needing deep emotional intelligence and behavioral consistency, company knowledge bases that evolve with organizational learning, and customer support intelligence that remembers past issues and preferences for a more personal experience.

Key features

  • Self-evolving agent memory
  • Multimodal retrieval and ingestion (mRAG)
  • Transparent memory management with Memory Bank
  • Persistent, proactive, and self-evolving memory for agents
  • Supports multi-agent coordination
  • Temporal knowledge tracking
  • Open-source memory infrastructure
  • Cloud service option for managed infrastructure

Who uses it

EverMind targets developers, AI engineers, and businesses building or deploying AI agents, particularly those requiring advanced memory solutions for multi-agent systems, personalized AI companions, or enterprise knowledge bases.

Pros

  • Provides continuous, self-evolving memory for AI agents
  • Supports multimodal retrieval and ingestion of diverse data types
  • Enables agents to learn from past experiences and distill reusable skills
  • Offers transparent memory management with a dedicated Memory Bank interface
  • Available as both an open-source solution and a managed cloud service
  • Designed for multi-agent coordination and complex enterprise needs

Cons

  • Requires technical expertise for self-hosting the open-source version
  • The managed cloud service likely involves recurring costs
  • Integration with existing AI systems may require development effort
  • Specific pricing details for the cloud service are not publicly listed

Our take

EverMind offers a robust solution for overcoming the memory limitations of current AI models, enabling more consistent and intelligent agent behavior. Its dual offering of open-source infrastructure and a managed cloud service provides flexibility for various deployment needs.

Pricing plans

Starter

$0

  • 2,000 credits free on sign-up
  • Experience your personal twin
  • Nearly unlimited everyday chat
  • Up to 3 custom roles
  • Long-term memory base (basic capacity)
  • Earn credits via check-ins and invites

Pro

$24.9/mo

  • 6,000 credits / mo
  • Everyday chat — nearly unlimited
  • Large monthly allowance for top-tier models
  • 6 roles covering your life and work
  • Memory sovereignty: one shared memory base
  • Closed-loop tool integrations

Enterprise

Custom

  • Shared team credit pool
  • Massive top-tier model allowance with priority scheduling
  • Custom SOTA-grade productivity roles — build a digital workforce
  • Dedicated memory space with extra-large context
  • Custom memory policies
  • Private deployment

Pricing details are provided for reference and may differ from the vendor's current plans.

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