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.
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%
93.05%
LongMemEval
83.00%
83.00%
83.00%
HaluMem
93.04%
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.
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
Product Family
Powered by EverCore
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
the 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 the 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
the future through the lens of the past.
Coming soon
EverOS
EverOS
The Memory OS for AI Agents
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.
Ever Core
Ever Core
We don't build brains; we build memory. While models forget through updates, Evermind's high-fidelity LTM system scales infinitely—with data sovereignty remaining forever yours. This is your first ticket to 'Digital Immortality'
We don't build brains; we build memory. While models forget through updates, Evermind's high-fidelity LTM system scales infinitely—with data sovereignty remaining forever yours. This is your first ticket to 'Digital Immortality'.
EverMemOS
A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning
A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning
EverMemOS solves the context window limitations of LLMs in long-term interactions with an engram-inspired memory mechanism. It structures dialogues into MemCells and thematic MemScenes, delivering precise context-aware retrieval.
More
HyperMem
Hypergraph Memory for Long-Term Conversations
Hypergraph Memory for Long-Term Conversations
Hits 92.73% accuracy on LoCoMo for long-dialogue systems.
Sets a new standard for conversational coherence and personalization.
Hits 92.73% accuracy on LoCoMo for long-dialogue systems. Sets a new standard for conversational coherence and personalization.
More
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.
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.
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.
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.
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.
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
Use Case
Memory-driven AI solutions for every use case
Earth Online Memory Game
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
Missing Child Reunion Platform
Intelligent semantic matching, AI memory guidance, and progressive memory updates to deliver accurate, continuous family matching.
AI Wearable with Memory
AI Wearable with Memory
A context-native empathic AI wearable that listens to everyday life and converts conversations into memory.
How EverOS Outperforms Alternatives
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
EverOS
Evermind
URL
Image
PDF
Spreadsheet
Context
Presentation
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.
Keep in Mind · Evolve over Time
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.
© 2026 EverMind Team.
© 2026 EverMind Team.
© 2026 EverMind Team.