EverOS : Give Your AI Agent
Self-evolving Memory.

EverOS :
Give Your AI Agent
Self-evolving
Memory.

EverOS : Give Your AI Agent
Self-evolving Memory.

Turn stateless LLMs into intelligent agents that can truly remember.

Maintain context across days, sessions, and platforms.

Turn stateless LLMs into intelligent agents that can truly remember.

Maintain context across days, sessions, and platforms.

Keep in Mind · Evolve over Time

[ SOTA Performance ]

Performance You Can Trust.

Benchmarks You Can Verify.

Performance You Can Trust. Benchmarks You Can Verify.

Performance You Can Trust.

Benchmarks You Can Verify.

We don't just claim SOTA

——we prove it with open-source benchmarks anyone can reproduce.

We don't just claim SOTA

——we prove it with open-source benchmarks anyone can reproduce.

LoCoMo

93.05%

93.05%

LongMemEval

83.00%

83.00%

HaluMem

93.04%

93.04%

The Memory Gap in Modern AI Agents

The Memory
Gap in Modern
AI Agents

The Memory
Gap in Modern AI Agents

It's not your model. It's the missing memory layer.

Every Session Starts from Zero.

Context windows max out at 128K-200K tokens. Beyond that, everything disappears. Users repeat themselves. Agents can't build on past interactions.

Every Session Starts from Zero.

Context windows max out at 128K-200K tokens. Beyond that, everything disappears. Users repeat themselves. Agents can't build on past interactions.

Every Session Starts from Zero.

Context windows max out at 128K-200K tokens. Beyond that, everything disappears. Users repeat themselves. Agents can't build on past interactions.

RAG Retrieves, But Doesn't Comprehend.

Traditional RAG returns similar text chunks—but lacks deep understanding. "My daughter loves robotics" won't surface for gift recommendations.

RAG Retrieves, But Doesn't Comprehend.

Traditional RAG returns similar text chunks—but lacks deep understanding. "My daughter loves robotics" won't surface for gift recommendations.

RAG Retrieves, But Doesn't Comprehend.

Traditional RAG returns similar text chunks—but lacks deep understanding. "My daughter loves robotics" won't surface for gift recommendations.

Built for Chatbots, Not Agent Teams.

Most systems handle one user + one AI. Real enterprise needs multi-agent coordination across platforms—sharing knowledge and maintaining team context.

Built for Chatbots, Not Agent Teams.

Most systems handle one user + one AI. Real enterprise needs multi-agent coordination across platforms—sharing knowledge and maintaining team context.

Built for Chatbots, Not Agent Teams.

Most systems handle one user + one AI. Real enterprise needs multi-agent coordination across platforms—sharing knowledge and maintaining team context.

Facts Change, Memory Doesn't Track.

Pricing changed March 15. User promoted in August. Without temporal tracking, AI can't distinguish current facts from outdated ones.

Facts Change, Memory Doesn't Track.

Pricing changed March 15. User promoted in August. Without temporal tracking, AI can't distinguish current facts from outdated ones.

Facts Change, Memory Doesn't Track.

Pricing changed March 15. User promoted in August. Without temporal tracking, AI can't distinguish current facts from outdated ones.

An entity without memory cannot exhibit consistency, learn from experience, or evolve.

An entity without memory cannot exhibit consistency, learn from experience, or evolve.

“Memory is the defining line between a tool and an agent.”

“Memory is the

defining line between

a tool and an agent.”

“Memory is the defining line between a tool and an agent.”

Product Family

 Powered by EverCore

[ The Memory OS for AI Agents. ]

EverOS

Equip your agents with persistent, proactive,

and self-evolving memory.


[ Your Personal Memory Hub. ]

EverMe

Your Personal Memory Nebula.

Instantly craft a visual digital twin deciphering t

he future through the lens of the past.

Coming soon

[ The Memory OS for AI Agents. ]

EverOS

Equip your agents with persistent, proactive,

and self-evolving memory.


[ Your Personal Memory Hub. ]

EverMe

Your Personal Memory Nebula.

Instantly craft a visual digital twin deciphering t

he future through the lens of the past.

Coming soon

[ The Memory OS for AI Agents. ]

EverOS

Equip your agents with persistent, proactive,

and self-evolving memory.


[ Your Personal Memory Hub. ]

EverMe

Your Personal Memory Nebula.

Instantly craft a visual digital twin deciphering t

he future through the lens of the past.

Coming soon

EverOS

The Memory OS for AI Agents

Powered by the strengths of EverCore, EverOS natively supports non-parametric, self-evolving Skill Memory, while offering a highly flexible framework that enables deep customization for diverse agent architectures and use cases.

URL

Image

PDF

Spreadsheet

Context

Presentation

EverOS

Evermind

mRAG for multimodal retrieval and ingestion

EverOS introduces a dedicated multimodal retrieval strategy through its hybrid method, enabling cross-modal search across different memory types and making it easier to retrieve the right context from complex data. It can parse and store a wide range of data types through a single API, including PDFs, images, Word documents, spreadsheets, presentations, emails, HTML pages, text files, and URLs.

URL

Image

PDF

Spreadsheet

Context

Presentation

EverOS

Evermind

mRAG for multimodal retrieval and ingestion

EverOS introduces a dedicated multimodal retrieval strategy through its hybrid method, enabling cross-modal search across different memory types and making it easier to retrieve the right context from complex data. It can parse and store a wide range of data types through a single API, including PDFs, images, Word documents, spreadsheets, presentations, emails, HTML pages, text files, and URLs.

URL

Image

PDF

Spreadsheet

Context

Presentation

EverOS

Evermind

mRAG for multimodal retrieval and ingestion

EverOS introduces a dedicated multimodal retrieval strategy through its hybrid method, enabling cross-modal search across different memory types and making it easier to retrieve the right context from complex data. It can parse and store a wide range of data types through a single API, including PDFs, images, Word documents, spreadsheets, presentations, emails, HTML pages, text files, and URLs.

EverOS

Self-evolving Agent Memory

EverOS records agent trajectories as Cases, distills repeated patterns into reusable Skills, and enables agents to learn from prior experience so they can improve over time instead of starting from scratch on every task.

EverOS

Self-evolving Agent Memory

EverOS records agent trajectories as Cases, distills repeated patterns into reusable Skills, and enables agents to learn from prior experience so they can improve over time instead of starting from scratch on every task.

EverOS

Self-evolving Agent Memory

EverOS records agent trajectories as Cases, distills repeated patterns into reusable Skills, and enables agents to learn from prior experience so they can improve over time instead of starting from scratch on every task.

EverOS

Self-evolving Agent Memory

EverOS records agent trajectories as Cases, distills repeated patterns into reusable Skills, and enables agents to learn from prior experience so they can improve over time instead of starting from scratch on every task.

Group memory

Memory Bank

Agent memory

user memory

Transparent memory management with Memory Bank

The new Memory Bank interface gives users a clear view into stored memories, including user memory, group memory, and agent memory, with tools to inspect, manage, and even edit generated Skills.

Group memory

Memory Bank

Agent memory

user memory

Transparent memory management with Memory Bank

The new Memory Bank interface gives users a clear view into stored memories, including user memory, group memory, and agent memory, with tools to inspect, manage, and even edit generated Skills.

Group memory

Memory Bank

Agent memory

user memory

Transparent memory management with Memory Bank

The new Memory Bank interface gives users a clear view into stored memories, including user memory, group memory, and agent memory, with tools to inspect, manage, and even edit generated Skills.

Group memory

Memory Bank

Agent memory

user memory

Transparent memory management with Memory Bank

The new Memory Bank interface gives users a clear view into stored memories, including user memory, group memory, and agent memory, with tools to inspect, manage, and even edit generated Skills.

One Infrastructure.Every Scenario.

One
Infrastructure.

Every Scenario.

One Infrastructure.
Every Scenario.

Memory-driven AI solutions for every use case

Multi-Agent Systems

Orchestrating multiple AI agents requires sophisticated coordination and task distribution. Multi-agent systems excel at complex problem-solving through specialized agents working towards common goals.

Personalized AI Companions

From personal AI assistants to therapeutic chatbots, companion AI requires deep emotional intelligence and behavioral consistency that only comes from genuine long-term memory.

Company Knowledge Base

Build an organizational memory that evolves with your team. AI learns from internal discussions, documentation, and decisions to become your company's institutional knowledge layer.

Customer Support Intelligence

Support that feels personal and continuous, not robotic. Agents remember past issues, resolution history, customer preferences, and communication style.

Wearable Hardwares

By processing fragmented interactions, visual cues, and voice commands into structured patterns, EverOS allows hardware to anticipate needs—whether recalling a new contact's name or maintaining conversational context across locations.

Use Case

Memory-driven AI solutions for every use case

Earth Online Memory Game

Earth Online is a memory-aware productivity game that turns everyday planning into a living quest log. 

Missing Child Reunion Platform

Intelligent semantic matching, AI memory guidance, and progressive memory updates to deliver accurate, continuous family matching.

AI Wearable with Memory

A context-native empathic AI wearable that listens to everyday life and converts conversations into memory.

How EverOS Outperforms Alternatives

Not all memory solutions are created equal.

Here's how we compare.

Capability

EverOS

Traditional RAG

Full Context Window

Other Memory Infra

Long-term Memory

Accuracy

93.05%

-48%

N/A

66.80%

Retrieval Latency

< 200ms

100-500ms

0ms(no retrieve)

150-400ms

Token Efficiency

1/10 of full context

100-500ms

Very Low

(no retrieve)

150-400ms

Temporal Knowledge Tracking

Partial

Multi-Agent Group Memory

Hierarchical Memory Organization

Partial

Context Window Limitations

Unlimited

Database limited

128K-200K tokens

Database limited

Open Source

Apache 2.0

Varies

N/A

Varies

Ready to Give Your AI Agent Memory

That Actually Works?

Ready to
Give Your AI Agent Memory

That Actually Works?

Deploy Your Way. No Lock-In.

EverOS

Cloud Service

Don't want to manage infrastructure? EverOS Cloud gives your agents persistent memory out of the box — zero ops overhead, enterprise-grade reliability.

Fully managed cloud solution.

Automatic scaling & maintenance.

Enterprise support included.

EverOS

Open Source

Run the full memory stack on your own infrastructure. Context management, mRAG, and offline memory — inspect every layer, own your data, contribute back to the community.

EverOS

Cloud Service

Don't want to manage infrastructure? EverOS Cloud gives your agents persistent memory out of the box — zero ops overhead, enterprise-grade reliability.

Fully managed cloud solution.

Automatic scaling & maintenance.

Enterprise support included.

EverOS

Open Source

Step 01

Clone the repo

Step 02

Start Docker services

Step 03

Verify service status

Step 04

Install uv

Step 05

Install dependencies

Step 06

Configure environment Variable

EverOS

Cloud Service

Don't want to manage infrastructure? EverOS Cloud gives your agents persistent memory out of the box — zero ops overhead, enterprise-grade reliability.

Fully managed cloud solution.

Automatic scaling & maintenance.

Enterprise support included.

EverOS

Open Source

Step 01

Clone the repo

Step 02

Start Docker services

Step 03

Verify service status

Step 04

Install uv

Step 05

Install dependencies

Step 06

Configure environment Variable

URL

Image

PDF

Spreadsheet

Context

Presentation

EverOS

Evermind

mRAG for multimodal retrieval and ingestion

EverOS introduces a dedicated multimodal retrieval strategy through its hybrid method, enabling cross-modal search across different memory types and making it easier to retrieve the right context from complex data. It can parse and store a wide range of data types through a single API, including PDFs, images, Word documents, spreadsheets, presentations, emails, HTML pages, text files, and URLs.

EverMind

A straightforward solution to long-term coherence

© 2026 EverMind Team.

EverMind

A straightforward solution to long-term coherence

© 2026 EverMind Team.

EverMind

A straightforward solution to long-term coherence

© 2026 EverMind Team.