BETA
Memory-as-a-Service for Intelligent Systems
Contextual Memory
Contextual Memory
for your
for your
Video Agent
Voice Agent
Video Agent
Chat Agent
Support Agent
Video Agent
Voice Agent
Video Agent
Chat Agent
Support Agent
Used by engineers working at
Used by engineers working at
Used by engineers working at
Capture, connect, and recall institutional knowledge—instantly.
Capture, connect, and recall institutional knowledge—instantly.
Memory & Context
AI forgets; mem[v] remembers. With continuous context across every modality, your agents gain awareness that lasts—learning from history to act smarter in the moment.
Compound Learning
Like human memory, mem[v] gets smarter with every query and conversation. Patterns strengthen, predictions sharpen, and intelligence compounds over time.
One-time Processing
Connect data sources once; mem[v] handles the heavy lifting. We process data with foundation models, build persistent memory, and serve context at ~500ms forever.
Memory & Context
AI forgets; mem[v] remembers. With continuous context across every modality, your agents gain awareness that lasts—learning from history to act smarter in the moment.
Compound Learning
Like human memory, mem[v] gets smarter with every query and conversation. Patterns strengthen, predictions sharpen, and intelligence compounds over time.
One-time Processing
Connect data sources once; mem[v] handles the heavy lifting. We process data with foundation models, build persistent memory, and serve context at ~500ms forever.
Memory & Context
AI forgets; mem[v] remembers. With continuous context across every modality, your agents gain awareness that lasts—learning from history to act smarter in the moment.
Compound Learning
Like human memory, mem[v] gets smarter with every query and conversation. Patterns strengthen, predictions sharpen, and intelligence compounds over time.
One-time Processing
Connect data sources once; mem[v] handles the heavy lifting. We process data with foundation models, build persistent memory, and serve context at ~500ms forever.
Capture the "WHY?"
Decisions live in context graphs, not prompts. mem[v] captures every interaction, decision, and signal.
Capture the "WHY?"
Decisions live in context graphs, not prompts. mem[v] captures every interaction, decision, and signal.
mem[v] is choose-your-own LLM
The memory layer stays constant. The intelligence layer is your choice. No vendor lock-in.
mem[v] is choose-your-own LLM
The memory layer stays constant. The intelligence layer is your choice. No vendor lock-in.
AI agents forget what they learn. At mem[v], we’re building a self-healing memory layer so agents can remember and improve over time.
AI agents forget what they learn. At mem[v], we’re building a self-healing memory layer so agents can remember and improve over time.
AI agents forget what they learn. At mem[v], we’re building a self-healing memory layer so agents can remember and improve over time.
mem[v] in action
Equip your agents with full contextual
memory in minutes.
Query Memories → Context Engineering
Enrich your agent with real-time context from videos, audio, images, documents, enterprise sources, and previous interactions. Retrieve structured results or LLM-ready context for any query.
Query Memories → Context Engineering
Enrich your agent with real-time context from videos, audio, images, documents, enterprise sources, and previous interactions. Retrieve structured results or LLM-ready context for any query.
Query Memories → Context Engineering
Enrich your agent with real-time context from videos, audio, images, documents, enterprise sources, and previous interactions. Retrieve structured results or LLM-ready context for any query.
Query Memories → Context Engineering
Enrich your agent with real-time context from videos, audio, images, documents, enterprise sources, and previous interactions. Retrieve structured results or LLM-ready context for any query.
Continuous Ingestion → Persistent Memory
mem[v] continuously processes your multimedia sources to build a bespoke memory graph. Every video, image, audio file, document, and query improves the memory network with episodic, temporal, and semantic context.
Continuous Ingestion → Persistent Memory
mem[v] continuously processes your multimedia sources to build a bespoke memory graph. Every video, image, audio file, document, and query improves the memory network with episodic, temporal, and semantic context.
Continuous Ingestion → Persistent Memory
mem[v] continuously processes your multimedia sources to build a bespoke memory graph. Every video, image, audio file, document, and query improves the memory network with episodic, temporal, and semantic context.
Continuous Ingestion → Persistent Memory
mem[v] continuously processes your multimedia sources to build a bespoke memory graph. Every video, image, audio file, document, and query improves the memory network with episodic, temporal, and semantic context.
Intelligent Retrieval → Instant Answers
Instantly surface answers across videos, audio, images, and documents. Find even the smallest details across your entire data library with precision — 300× faster than re-processing and up to 70% cheaper at scale.
Intelligent Retrieval → Instant Answers
Instantly surface answers across videos, audio, images, and documents. Find even the smallest details across your entire data library with precision — 300× faster than re-processing and up to 70% cheaper at scale.
Intelligent Retrieval → Instant Answers
Instantly surface answers across videos, audio, images, and documents. Find even the smallest details across your entire data library with precision — 300× faster than re-processing and up to 70% cheaper at scale.
Intelligent Retrieval → Instant Answers
Instantly surface answers across videos, audio, images, and documents. Find even the smallest details across your entire data library with precision — 300× faster than re-processing and up to 70% cheaper at scale.
Use cases
Memory-powered use cases
Where persistent context unlocks real agent intelligence
Vertical AI Agents
Persistent memory across support, sales, ops, research, and personal workflows.
Vertical AI Agents
Persistent memory across support, sales, ops, research, and personal workflows.
Support Agents
Resolve issues faster with full history of past tickets, conversations, and actions.
Sales & Account Agents
Track relationships, preferences, and deal history over time for deeper insights.
Omnichannel AI Agents
Agents that remember users across chat, email, voice, and apps — without losing context.
Research & Knowledge Agents
Accumulate insights from documents, videos, and conversations into evolving knowledge.
Personal AI Assistants
Remember goals, habits, and long-term intent across days, weeks, and months with tools integrated.
Integration
Seamless Integration
For Smarter Workflows
Google Drive
S3
Confluence
Zoom
Youtube
Dropbox
Slack
One Drive
Notion
Box
LangChain
LIamaIndex
Integration
Seamless Integration
For Smarter Workflows
Google Drive
S3
Confluence
Zoom
Youtube
Dropbox
Slack
One Drive
Notion
Box
LangChain
LIamaIndex
Integration
Seamless Integration
For Smarter Workflows
Google Drive
S3
Confluence
Zoom
Youtube
Dropbox
Slack
One Drive
Notion
Box
LangChain
LIamaIndex
Contextual memory — one command away
Contextual memory — one command away
Contextual memory — one command away
Contextual memory — one command away
Python
Node js
pip install memvai
npm install memvai
Python
Node js
pip install memvai
npm install memvai
FAQ’s
Frequently Asked Questions
What problem does mem[v] solve?
Who is mem[v] for?
What kinds of data can mem[v] process?
How is this different from vector databases?
Can mem[v] run with my existing stack?
Do you offer a free trial?
Contact Us
Have a Use Case in Mind?
Design, pilot, or deploy long-term memory for your AI systems.
Design, pilot, or deploy long-term memory for your AI systems.
Say hi!
Want AI that actually remembers, adapts, and works like your team? Share your project — let’s build it together.
Feel free to contact us for any questions, potential collaborations, or to talk about your project requirements.