Memory-as-a-Service for Intelligent Systems

Memory-as-a-Service for Intelligent Systems

Contextual Memory

Contextual Memory

Contextual Memory

for your

for your

Video Agent

Voice Agent

Support Agent

Chat Agent

Video Agent

Voice Agent

Support Agent

Chat Agent

Hero Bg
Hero Bg
Hero Bg
Hero Bg

Capture, connect, and recall organizational knowledge—instantly.

Capture, connect, and recall agent's interaction—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.

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.

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.

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.

Compound Learning

Like human memory, mem[v] gets smarter with every query and conversation. Patterns strengthen, predictions sharpen, and intelligence compounds over time.

Compound Learning

Like human memory, mem[v] gets smarter with every query and conversation. Patterns strengthen, predictions sharpen, and intelligence compounds over time.

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 videos once; mem[v] handles the heavy lifting. We process videos with foundation models, build persistent memory, and serve context at ~500ms forever.

One-time Processing

Connect videos once; mem[v] handles the heavy lifting. We process videos with foundation models, build persistent memory, and serve context at ~500ms forever.

We ingest and process any modality—video, audio, text, images, documents, or structured data—build persistent memory, and serve relevant context at ~500ms, forever.

Connect videos once; mem[v] handles the heavy lifting. We process videos with foundation models, build persistent memory, and serve context at ~500ms forever.

One-time Processing

Connect videos once; mem[v] handles the heavy lifting. We process videos with foundation models, build persistent memory, and serve context at ~500ms forever.

Instant Video Context

mem[v] knows about the scenes, products, people, and patterns relevant to your agent without re-processing.

Instant Video Context

mem[v] knows about the scenes, products, people, and patterns relevant to your agent without re-processing.

Instant Video Context

mem[v] knows about the scenes, products, people, and patterns relevant to your agent without re-processing.

Instant Video Context

mem[v] knows about the scenes, products, people, and patterns relevant to your agent without re-processing.

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.

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

Equip your agents with full contextual

memory in minutes.

memory in minutes.

1

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.

2

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.

3

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.

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.

Support Agents

Resolve issues faster with full history of past tickets, conversations, and actions.

Support Agents

Resolve issues faster with full history of past tickets, conversations, and actions.

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.

Sales & Account Agents

Track relationships, preferences, and deal history over time for deeper insights.

Sales & Account Agents

Track relationships, preferences, and deal history over time for deeper insights.

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.

Omnichannel AI Agents

Agents that remember users across chat, email, voice, and apps — without losing context.

Omnichannel AI Agents

Agents that remember users across chat, email, voice, and apps — without losing context.

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.

Research & Knowledge Agents

Accumulate insights from documents, videos, and conversations into evolving knowledge.

Research & Knowledge Agents

Accumulate insights from documents, videos, and conversations into evolving knowledge.

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.

Personal AI Assistants

Remember goals, habits, and long-term intent across days, weeks, and months with tools integrated.

Personal AI Assistants

Remember goals, habits, and long-term intent across days, weeks, and months with tools integrated.

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

Python

Node js

Agent Memory
PYagent_memory.py
1

pip install memvai

npm install memvai

Python

Node js

Agent Memory
PYagent_memory.py
1

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?

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?

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.

Feel free to contact us for any questions, potential collaborations, or to talk

about your project requirements.