- Up to 30 memory calls
- Basic retrieval
- Community support
- API access
memU
0
MemU provides an autonomous, interconnected, and evolving memory infrastructure for large language model applications, enhancing accuracy, speed, and cost-efficiency in AI memory management.
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What is memU?
MemU is an agentic memory layer built to function as an intelligent and autonomous file system for AI companions, transforming memory management by organizing, linking, and continuously improving stored data. It integrates with major LLMs like OpenAI and Anthropic, enhancing the AI's ability to memorize and recall conversations and knowledge efficiently, thus optimizing AI agent performance and user experience.
Who will use memU?
- AI developers building large language model applications
- Companies developing AI companion technologies
- Enterprises requiring scalable AI memory solutions
- Researchers working on AI memory and knowledge management
How to use the memU?
- Step1: Sign up and obtain an API key from MemU.
- Step2: Integrate the MemU SDK into your AI application using Python, JavaScript, or REST API.
- Step3: Use MemU's memory functions to memorize and recall conversation data or other relevant information.
- Step4: Utilize MemU's continuous self-improvement and knowledge graph features to enhance AI agent performance.
- Step5: Monitor AI memory analytics and optimize with MemU's provided tools.
Platform
- web
memU's Core Features & Benefits
The Core Features
- Autonomous memory management
- Interconnected knowledge graph
- Continuous self-improvement
- SDK support for Python, JavaScript, REST API
- Integration with major LLM platforms
The Benefits
- Higher accuracy in AI memory retrieval
- Faster data access and processing
- Reduced operational costs
- Scalable enterprise-grade solutions
- Custom development and premium support options
memU's Main Use Cases & Applications
- Enhancing AI companions with long-term memory capabilities
- Improving conversational AI responsiveness and context retention
- Enterprise AI applications requiring reliable memory infrastructure
- Developing memory-first AI tools and assistants
memU's Pros & Cons
The Pros
High accuracy and speed in memory retrieval
Supports major LLM integrations
Customizable enterprise solutions
Open-source SDK availability
Active community and Discord support
The Cons
Currently web platform only
Some advanced features require commercial license
Limited mobile app availability
memU's Pricing
| Has free plan | YES |
|---|---|
| Free trial details | 14-day free trial with no credit card required |
| Pricing model | Freemium |
| Is credit card required | No |
| Paid from | 29 USD |
| Has lifetime plan | No |
| Billing frequency | Monthly |
Details of Pricing Plan
Starter
0 USDProfessional
29 USD- Up to 600 memory calls
- Advanced retrieval algorithms
- Priority support
- Advanced analytics
- Custom integrations
Enterprise
Custom USD- Unlimited memory calls
- Dedicated infrastructure
- 24/7 dedicated support
- Custom SLA
- On-premise deployment
- Custom training
Discount:No explicit discount information found
For the latest prices, please visit: https://memu.pro/pricingFAQs of memU
memU Company Information
- NevaMind AI
Analytic of memU
Visit Over Time
Monthly Visits
29.4k
Avg Visit Duration
00:00:12
Page Per Visit
1.45
Bounce Rate
42.93%
Feb 2026 - Apr 2026 All Traffic
Geography
Top 5 Regions
United States
48.27%
Vietnam
6.7%
Brazil
5.59%
Germany
4.43%
India
3.34%
Feb 2026 - Apr 2026 Worldwide Desktop Only
Traffic Sources
Direct
67.92%
SearchOrganic
27.38%
GenAi
3.63%
Referrals
1.07%
Mail
0.00%
Affiliate
0.00%
DisplayAds
0.00%
SearchPaid
0.00%
SocialPaid
0.00%
SocialOrganic
0.00%
Feb 2026 - Apr 2026 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| memu | 78.2k | $ 0.28 |
| locomo benchmark | 1.0k | $ -- |
| locomo memory benchmark | 60 | $ -- |
| cursor subagents launch | 40 | $ -- |
| a-mem locomo | 30 | $ -- |
How to install?
memU Reviews
5/5
memU's Main Competitors and alternatives?
- Memgraph
- Weaviate
- Pinecone
- Vespa
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