Add recall to your LLM apps in one line

Give Your AI Agents
Memory That Lasts.

Give Your AI Agents Memory That Lasts.

Agentmind is a drop-in SDK + API for LLM apps. Add long-term recall to your agents and workflows so they can learn, adapt, and deliver better results.

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 & Compressed Data

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

Encrypted & Compressed Data

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

Encrypted & Compressed 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, Python and beyond.

Flexible Framework Compatibility

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

Flexible Framework Compatibility

Seamlessly connect with any framework, enabling agents to run across OpenAI, Anthropic, LangChain, CrewAI, Python 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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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

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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 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

PRICING

Flexible Plans for Every AI Agent

Flexible Plans for Every AI Agent

Choose a plan that fits your goals and scale as you grow

Choose a plan that fits your goals and scale as you grow

Monthly

Yearly

Save 20%

Starter

$0

/month

100 memories / month

2 GB storage included

Unlimited end users

SDK & API access

Community support

Pro

Popular

$249

/month

1,000 memories / month

10 GB storage included

Token compression

Graph Knowledge Layer

Priority Support

Enterprise

Custom

100k+ memories

2 TB storage

On-prem or hybrid deployment

SSO & Audit Logs

Dedicated solutions engineer

Monthly

Yearly

Save 20%

Starter

$0

/month

100 memories / month

2 GB storage included

Unlimited end users

SDK & API access

Community support

Pro

Popular

$249

/month

1,000 memories / month

10 GB storage included

Token compression

Graph Knowledge Layer

Priority Support

Enterprise

Custom

100k+ memories

2 TB storage

On-prem or hybrid deployment

SSO & Audit Logs

Dedicated solutions engineer

We offer startup deals, contact us to apply

We offer startup deals, contact us to apply

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!

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 token compression ensures minimal exposure in prompts, and enterprise plans support VPC/on-prem deployment, SSO, and audit logs for full compliance.

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!

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 token compression ensures minimal exposure in prompts, and enterprise plans support VPC/on-prem deployment, SSO, and audit logs for full compliance.

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!

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

Schedule a call to begin making memories

Reach out anytime

Ready to Awaken Your Agent? Let’s Build Together

Schedule a call to begin making memories

Reach out anytime

Ready to Awaken Your Agent? Let’s Build Together

Schedule a call to begin making memories