Plug into OpenAI, LangChain, CrewAI and beyond

Give your agents memory they control

Drop-in memory layer for LLM applications that need adaptive learning and long-term context

Drop-in memory layer for LLM applications that need adaptive learning and long-term context

Memory Bank

Memory Bank

Add persistant memory to your LLM apps in seconds

With agentmind your agents don’t just respond: they remember, improve, and grow, while saving token costs.

Zero-friction setup

Zero-friction setup

Add memory to your AI app with our SDK // API. Build and test in local mode, then launch at scale with our managed cloud.

Turn lost context into durable memory, so your agents learn once, recall on demand, and compound value with every interaction.

Turn lost context into durable memory, so your agents learn once, recall on demand, and compound value with every interaction.

Turn lost context into durable memory, so your agents learn once, recall on demand, and compound value with every interaction.

Response times in nano secs

A natural language query for data/context with our tech is retrieved faster than a regular DB lookup.

Response times in nano secs

A natural language query for data/context with our tech is retrieved faster than a regular DB lookup.

Response times in nano secs

A natural language query for data/context with our tech is retrieved faster than a regular DB lookup.

Built for AI Stacks

Integrates with OpenAI, LangChain, CrewAI and more.

Built for AI Stacks

Integrates with OpenAI, LangChain, CrewAI and more.

Built for AI Stacks

Integrates with OpenAI, LangChain, CrewAI and more.

PRODUCT

Agentmind remembers,
AI Agents tend to forget

Agentmind remembers,
AI Agents tend to forget

Powering memory, personality, and context across industries - from finance and healthcare to sales, support, and beyond.

favourite news and topics

Recall

User researches acquisitions daily

User follows the stock market

bloomberg.com is an important source

Natural‑Language Recall

Agents can phrase memory requests in everyday language and get the right facts back

favourite news and topics

Recall

User researches acquisitions daily

User follows the stock market

bloomberg.com is an important source

Natural‑Language Recall

Agents can phrase memory requests in everyday language and get the right facts back

favourite news and topics

Recall

User researches acquisitions daily

User follows the stock market

bloomberg.com is an important source

Natural‑Language Recall

Agents can phrase memory requests in everyday language and get the right facts back

Flexible Framework Compatibility

Seamlessly connect with any framework, enabling agents to run across OpenAI, Anthropic, LangChain, CrewAI, Google Drive and beyond.

Flexible Framework Compatibility

Seamlessly connect with any framework, enabling agents to run across OpenAI, Anthropic, LangChain, CrewAI, Google Drive and beyond.

Flexible Framework Compatibility

Seamlessly connect with any framework, enabling agents to run across OpenAI, Anthropic, LangChain, CrewAI, Google Drive and beyond.

Manchester United is the best

user_212, follows tech stocks

timezone, New York

user_212, name is Peter

Organize memories by session, user, or category

Hosted on AWS, AgentMind handles the database layer so your agents don’t have to.

Manchester United is the best

user_212, follows tech stocks

timezone, New York

user_212, name is Peter

Organize memories by session, user, or category

Hosted on AWS, AgentMind handles the database layer so your agents don’t have to.

Manchester United is the best

user_212, follows tech stocks

timezone, New York

user_212, name is Peter

Organize memories by session, user, or category

Hosted on AWS, AgentMind handles the database layer so your agents don’t have to.

Code

1

2

3

4

5

from agentmind import Memory
memory = Memory(api_key=<api_key>)

def remember_tool(content: any):
return memory.remember(content, user_id)

def recall_tool(query: str):
return memory.recall(query, user_id)

pip install agentmind

Install in one line - skip migrations and boilerplate.

Code

1

2

3

4

5

from agentmind import Memory
memory = Memory(api_key=<api_key>)

def remember_tool(content: any):
return memory.remember(content, user_id)

def recall_tool(query: str):
return memory.recall(query, user_id)

pip install agentmind

Install in one line - skip migrations and boilerplate.

Code

1

2

3

4

5

from agentmind import Memory
memory = Memory(api_key=<api_key>)

def remember_tool(content: any):
return memory.remember(content, user_id)

def recall_tool(query: str):
return memory.recall(query, user_id)

pip install agentmind

Install in one line - skip migrations and boilerplate.

Graph Knowledge Layer

Capture data and relationships to deliver deeper recall.

Graph Knowledge Layer

Capture data and relationships to deliver deeper recall.

Graph Knowledge Layer

Capture data and relationships to deliver deeper recall.

COMPARISON

Why Choose Us Over Others

Why Choose Us Over Others

94% relevant recall across sessions

Responses up to 60% faster at p95

35% less tokens used by your app with targeted context

<10 minutes - one line install, SDK or API

Local for dev, hosted cloud for prod, on-prem for enterprise

Others

60–70% accuracy with pattern matching - missing semantic relationships

Passing data in the context window

Token bloat from repeated history

Days/weeks of DB setup, schema design, prompt engineering

A lot of config and manual setup

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Still have questions? Feel free to get in touch with us today!

Ask A Question

How does Agentmind improve my AI agents?

Agentmind gives your LLM applications long-term memory. Instead of losing context after each session, your agents can recall facts, preferences, and past interactions with 94% accuracy, leading to more intelligent, personalized responses.

What counts as a “memory” or retrieval?

A memory is any stored piece of information (fact, preference, or context) that can be recalled later. A retrieval happens when your agent queries the memory bank to fetch relevant context for the current conversation.

How do you keep my data secure?

All data is encrypted in transit and at rest. Our managed cloud and database is hosted on AWS. Enterprise plans support VPC/on-prem deployment, SSO, and audit logs. Token smart compression ensures minimal exposure in prompts.

Can Agentmind integrate with my existing AI stack?

Yes. AgentMind connects seamlessly with OpenAI, Anthropic, LangChain, CrewAI, Python SDKs, and more. It works as a drop-in memory layer so you don’t need to rebuild your pipeline.

How fast can I get started?

Installation takes less than 10 minutes. You can develop locally with our SDK or API, then scale instantly with our managed cloud or deploy on-prem for enterprise.

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Still have questions? Feel free to get in touch with us today!

Ask A Question

How does Agentmind improve my AI agents?

Agentmind gives your LLM applications long-term memory. Instead of losing context after each session, your agents can recall facts, preferences, and past interactions with 94% accuracy, leading to more intelligent, personalized responses.

What counts as a “memory” or retrieval?

A memory is any stored piece of information (fact, preference, or context) that can be recalled later. A retrieval happens when your agent queries the memory bank to fetch relevant context for the current conversation.

How do you keep my data secure?

All data is encrypted in transit and at rest. Our managed cloud and database is hosted on AWS. Enterprise plans support VPC/on-prem deployment, SSO, and audit logs. Token smart compression ensures minimal exposure in prompts.

Can Agentmind integrate with my existing AI stack?

Yes. AgentMind connects seamlessly with OpenAI, Anthropic, LangChain, CrewAI, Python SDKs, and more. It works as a drop-in memory layer so you don’t need to rebuild your pipeline.

How fast can I get started?

Installation takes less than 10 minutes. You can develop locally with our SDK or API, then scale instantly with our managed cloud or deploy on-prem for enterprise.

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Still have questions? Feel free to get in touch with us today!

Ask A Question

How does Agentmind improve my AI agents?

What counts as a “memory” or retrieval?

How do you keep my data secure?

Can Agentmind integrate with my existing AI stack?

How fast can I get started?

Get Started

Ready to awaken your agent?

Memory Bank

Get Started

Ready to awaken your agent?

Memory Bank

Get Started

Ready to awaken your agent?

Memory Bank