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TL;DR - Mem0 AI
- Provides a memory layer for LLM applications to enable personalization.
- Compresses chat history to reduce token costs and latency.
- Offers easy integration with popular AI frameworks and observability tools.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Significantly reduces token costs for LLM applications.
- Enhances user experience through personalized AI interactions.
- Easy to integrate with existing LLM frameworks.
- Provides tools for monitoring and optimizing memory usage.
- Offers a free tier for developers and small teams.
Cons
- The free Hobby plan has a limit of 10,000 memories and 1,000 retrieval API calls per month, which might be restrictive for rapidly growing projects.
- Advanced features like Graph Memory, Advanced Analytics, and multiple project support are only available on higher-tier plans (Pro and Enterprise).
- On-prem deployment, SSO, audit logs, and custom integrations are exclusive to the Enterprise plan, requiring a custom quote.
Key Features
Memory Compression EngineCuts prompt tokens by up to 80%Retains essential details from long conversationsZero Friction Setup (single-line install)Flexible Framework Compatibility (OpenAI, LangGraph, CrewAI, Python, JS)Built-in Observability & Tracing (TTL, size, access)Unlimited end usersGraph Memory (Pro and Enterprise plans)
Pricing Plans
Hobby
Free
- 10,000 memories
- Unlimited end users
- 1000 retrieval API calls/month
- Community Support
Starter
$19/month
- 50,000 memories
- Unlimited end users
- 5,000 retrieval API calls/month
- Community Support
Pro
$249/month
- Unlimited memories
- Unlimited end users
- 50,000 retrieval API calls/month
- Private Slack Channel
- Graph Memory
- Advanced Analytics
- Multiple projects support
Enterprise
Contact us
- Unlimited memories
- Unlimited end users
- Unlimited API calls
- Private Slack Channel
- Graph Memory
- Advanced Analytics
- On-prem deployment
- SSO
- Audit Logs
- Custom Integrations
- SLA
About Mem0 AI
By Toolradar Team·
Mem0 is an AI memory layer designed to give Large Language Model (LLM) applications the ability to remember past interactions and user preferences. It addresses the inherent statelessness of LLMs by providing a persistent and intelligent memory, enabling more personalized and context-aware AI experiences.
This platform is built for developers and enterprises looking to enhance their AI applications. By intelligently compressing chat history and retaining essential details, Mem0 helps reduce token usage and latency, leading to significant cost savings and improved performance. It offers a simple integration process and compatibility with popular AI frameworks.
Mem0's core value lies in its ability to transform generic AI interactions into highly personalized ones, leading to increased user satisfaction and more efficient AI operations. It provides tools for observability and tracing, allowing developers to monitor and optimize memory usage effectively.
How we evaluate tools →Source: mem0.ai
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Mem0 AI FAQ
What is Mem0 AI?
Mem0 AI is a universal, self-improving AI memory layer for Large Language Model (LLM) applications. It allows AI agents to remember past interactions, user preferences, and context, enabling personalized experiences, reducing costs, and improving performance.
How much does Mem0 AI cost?
Mem0 AI offers a freemium model. The Hobby plan is free, providing 10,000 memories and 1,000 retrieval API calls/month. Paid plans include Starter ($19/month), Pro ($249/month), and Enterprise (flexible pricing), with increasing memory and API call limits, and additional features like Graph Memory and Advanced Analytics.
Is Mem0 AI free?
Yes, Mem0 AI offers a free 'Hobby' plan which includes 10,000 memories, unlimited end users, and 1,000 retrieval API calls per month, along with community support. They also have a startup program offering 3 months free access to their Pro plan.
Who is Mem0 AI for?
Mem0 AI is primarily for developers and enterprises who are building or operating LLM applications and want to improve personalization, reduce operational costs (token usage), and enhance the overall user experience by giving their AI a persistent memory.
Source: mem0.ai