EverMind AI
EverMind is an AI research and infrastructure company building long-term memory for intelligent agents. Its stated goal is to make AI remember, understand, reason, adapt, and evolve through a persistent, customizable memory layer.
At a Glance
- AI developers and makers
- Researchers
- Individual users
- Startups and product teams
- +3 more
AI Tools by EverMind AI
(2)
Raven
Open Source AI Agent Orchestrator
EverOS
Open Source AI Agent Memory OS
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Latest News
EverMind introduces EverMe, a personal AI digital twin built on a shared memory layer across agents
EverMind launches Raven Agent, an open-source self-improving harness for L3-level digital life
Skill Hub launches as a measured foundation for community-powered agents
EverMind introduces self-evolving Agent Memory in EverOS
Products & Services
A self-evolving, multimodal, cross-agent and cross-platform memory operating system available as cloud service and self-hosted/open-source infrastructure. It provides layered memory extraction, mRAG, persistent user and agent memory, Cases, Skills, temporal reasoning, and memory management.
An open-source, self-organizing memory operating system using engram-inspired MemCells and MemScenes / evolving memory structures to provide durable, coherent, continuously evolving memory for agents.
An Apache-2.0 open-source self-improving multi-agent orchestration ecosystem ('harness of harnesses') with built-in Raven-Research, Raven-Code, Raven-Design, and Raven-Oncall agents; it turns runs into Cases and reusable Skills.
A personal AI digital twin and memory hub whose private, traceable memory can be shared across agents; it organizes a user's digital footprint into knowledge, skills, and a persona that reflects communication style, tone, and values.
Market Position
EverMind positions EverOS as an agentic memory operating system rather than a conventional vector-store or retrieval plugin: it emphasizes structured, temporal, multimodal, self-evolving memory, portability, and user control. Its own comparison material identifies Mem0, Zep, MemOS, MemU, Cognee, Graphiti, and LightRAG as relevant alternatives; EverMind differentiates with Cases-to-Skills learning, multi-agent memory, and cloud/self-hosted portability.
Leadership
Founders
Deng Yafeng
CEO of EverMind and vice president of Shanda Group; public biographies describe him as a Tsinghua University graduate with more than 20 years of AI-algorithm and product experience.
Executive Team
Deng Yafeng
Chief Executive Officer
Also a vice president of Shanda Group; public descriptions identify him as a Tsinghua University graduate with more than two decades of AI algorithm and product experience.
Board of Directors
Founding Story
EverMind was incubated by Shanda Group as a long-term-memory initiative. Its core vision grew from the observation that contemporary AI is optimized for instantaneous, static 'spatial' information while intelligence needs a continuous, time-based memory structure; the company set out to build the memory layer for future intelligence and to give agents durable identity and continuity.
Business Model
Revenue Model
Open-source/self-hosted software is offered alongside a managed EverOS Cloud service with subscription access; EverMind has also described custom deployments for strategic partners and a personal version for hardware/MCP contexts.
Pricing Tiers
EverOS Cloud plan with 8 Memory Spaces, 250,000 MCU per month, 500,000 Retrieval API calls per month, top-up packs, self-evolving Skills, and priority email support.
Target Markets
- AI developers and makers
- Researchers
- Individual users
- Startups and product teams
- Enterprise and strategic partners
- Agent-platform and workflow developers
- Multi-agent systems and agent orchestration
- Personal AI assistants, chief-of-staff agents, and digital twins
- Long-running coding, research, design, and workflow-automation tasks
- Company knowledge bases and institutional memory
- Customer-support intelligence and professional assistants
- Personalized AI companions and emotionally aware applications
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