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Dray VS Mem0

Compare Dray VS Mem0 and see what are their differences

Dray

Dray gives ChatGPT, Claude, Grok and your coding agents one shared memory, so you can switch tools without explaining your project again.

Rating
0 reviews
Pricing
Paid $9 / Monthly (From $9/month. Full refund within 30 days.)
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Mem0

Your private, local memory layer for all AI tools

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Rating
0 reviews
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Zentivue
Zentivue drafts social posts, emails and blogs every week in each client's own voice. You review and approve every draft. Built for one brand or many. sponsored

Which is more popular?

Based on our record, Mem0 seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
0 vs 3
AI Tools popularity
5% vs 95%
alternatives listed
10 vs 177

Base details

Website, pricing, platforms and company facts side by side.

Dray
Mem0
Website withdray.com mem0.ai
Pricing
Paid $9 / Monthly (From $9/month. Full refund within 30 days.) Official pricing
—
Company Startup from the United Kingdom · 1 - 9 employees Startup from the United States
Listed in
AI Memory AI Tools Productivity Chrome Extensions Developer Tools AI +3
AI Productivity Developer Tools AI Tools +1

About Dray and Mem0

In their own words, as submitted to SaaSHub.

Dray
Mem0

Each AI app's built-in memory only knows what you told that app. Dray is one memory that ChatGPT, Claude, Grok and coding agents like Claude Code all share. It saves your chats from each of them, and any of your assistants can look things up when it needs the context. You can see everything it...

Read more about Dray

No description of Mem0 yet.

Features and specs

What each product offers, as listed by its team.

Dray 0 features
Mem0 5 features

No features have been listed yet.

  • Easy Accessibility
    OpenMemory MCP offers a user-friendly interface that makes it easy for users to access and utilize its features without a steep learning curve.
  • Integration Capabilities
    It integrates smoothly with various platforms and systems, allowing users to seamlessly incorporate it into their existing workflows.
  • Cost-Effective
    The platform provides a cost-effective solution for managing memory processes, making it an attractive option for businesses looking to optimize expenses.
  • Community Support
    Having a strong community support network, users can benefit from shared knowledge, resources, and troubleshooting assistance.
  • Customizable Features
    OpenMemory MCP allows for a high degree of customization, enabling users to tailor the platform to suit their specific needs and requirements.

Analysis

An editorial look at what each product does well and who it suits.

Dray
Mem0

No analysis of Dray yet.

Overall verdict

  • OpenMemory MCP by mem0.ai is a solid, developer-friendly solution for adding persistent, portable memory to AI applications, offering a standardized way to store and share context across LLM tools while keeping data local and private.

Why this product is good

  • Provides a persistent memory layer so AI assistants can remember context across sessions and conversations
  • Built on the Model Context Protocol (MCP), making it interoperable with a wide range of MCP-compatible clients like Claude, Cursor, and Windsurf
  • Emphasizes privacy and data ownership by allowing memories to be stored locally rather than in the cloud
  • Enables memory portability, so context can be shared seamlessly across different AI tools and applications
  • Open-source and backed by the popular mem0 ecosystem, benefiting from an active community and ongoing development
  • Reduces repetitive context-setting, improving efficiency and user experience in AI workflows

Recommended for

  • Developers building AI agents or assistants that need long-term, persistent memory
  • Users of multiple MCP-compatible tools who want shared context across their AI stack
  • Privacy-conscious individuals and teams who prefer local storage of their AI memory data
  • Startups and teams prototyping personalized or context-aware AI applications
  • Power users of tools like Claude Desktop, Cursor, or Windsurf seeking a unified memory layer

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Dray
Mem0
5% 5%
AI Tools
95% 95%
4% 4%
Developer Tools
96% 96%
8% 8%
Productivity
92% 92%
0% 0%
AI
100% 100%

User comments

Share your experience with using Dray and Mem0. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Dray 0 mentions
Mem0 3 mentions

Tracking Dray since Oct 2026.

  • How I Self-Hosted a Mem0 Memory Stack (So My AI Agent Remembers)
    An AI agent that forgets everything between conversations is a tool you have To reintroduce yourself to every session. My AI assistant (the one that runs This very blog's workflow) used to start each chat from zero — until I gave it a... - Source: dev.to / 15 days ago
  • AI Agentic Memory for beginners.
    This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0... - Source: dev.to / 3 months ago
  • Best MCP Memory Servers for Teams in 2026: Context Cloud vs mem0 vs Basic Memory vs claude-mem vs MemPalace
    Mem0 is probably the most mature cloud-hosted memory option. Good semantic search, clean API, supports multiple LLM providers. The cloud dashboard is solid for browsing stored memories. - Source: dev.to / 5 months ago

Alternatives to Dray and Mem0

When comparing Dray and Mem0, you can also consider the following products.

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