Memory Bank

Memory Bank

Memory Bank

Plug into OpenAI, LangChain, CrewAI and beyond

True intelligence begins with memory

True intelligence begins with memory

Agentmind is a drop-in memory layer for LLM applications, enabling persistent recall, adaptive learning, and long-term context. So your agents don’t just respond: they remember, improve, and grow.

Agentmind is a drop-in memory layer for LLM applications, enabling persistent recall, adaptive learning, and long-term context. So your agents don’t just respond: they remember, improve, and grow.

Memory Bank

Memory Bank

Add memory to your LLM apps in seconds

"Agents without persistent memory are like goldfish. We give them recall and real-time context so they think and improve like humans"

user pic

Muiez, Co-founder

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 instantly, and compound value with every interaction.

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

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

Encrypted & Tagged Data

Your data is transmitted securely with lowest latency, while targeted recall trims token bloat.

Encrypted & Tagged Data

Your data is transmitted securely with lowest latency, while targeted recall trims token bloat.

Encrypted & Tagged Data

Your data is transmitted securely with lowest latency, while targeted recall trims token bloat.

Built for AI Stacks

Integrates with OpenAI, Anthropic, LangChain, CrewAI and more.

Built for AI Stacks

Integrates with OpenAI, Anthropic, LangChain, CrewAI and more.

Built for AI Stacks

Integrates with OpenAI, Anthropic, 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

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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

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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

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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 90% faster at p95

80% fewer tokens via compression & targeted recall

<10 minutes - one line install, SDK or API

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

Others

60–70% with basic keyword or context-window hacks

High tail latency from full-context prompts

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?

Reach out anytime

Ready to Awaken Your Agent? Let’s Build Together

Get started making memories

Memory Bank

Reach out anytime

Ready to Awaken Your Agent? Let’s Build Together

Get started making memories

Memory Bank

Reach out anytime

Ready to Awaken Your Agent? Let’s Build Together

Get started making memories

Memory Bank