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The Problem 🚨
Today’s AI agents rely on RAG pipelines and vector databases to retrieve information. But retrieval isn’t memory.
As agents become responsible for handling customer conversations, legal documents, healthcare records and financial workflows, developers are running into the same issues:
Vector search returns similar information, not exact facts.
Large context windows still aren’t enough for long-term memory.
Memory infrastructure is expensive, slow to maintain and introduces privacy and reliability risks.
The result? AI agents that still hallucinate, forget previous interactions and require complex backend infrastructure to function.
The Solution💡
Memvid is building a new memory layer for AI.
Instead of relying on vector databases and RAG pipelines, Memvid packages everything an AI agent needs into a single portable memory file.
That means:
Persistent long-term memory in one portable file
Instant retrieval without vector databases or servers
Time-aware memory that lets agents recall information exactly as it existed at a specific point in time
Up to 93% lower infrastructure costs while simplifying deployment
The Team 👥
Memvid is founded by repeat entrepreneurs who have spent years building AI products and infrastructure.
Mohamed (CEO) previously led marketing for a media company acquired by Morning Brew before co-founding a B2B growth agency helping AI startups land enterprise customers.
Saleban (CTO) holds dual Master’s degrees in Computer Science and Machine Learning, with more than a decade building AI systems across enterprise and consumer applications.
The founders first experienced the problem while building their previous healthtech company, where AI systems needed to securely remember precise patient information without relying on complex memory infrastructure.
Traction 📈
Despite launching recently, Memvid has already built strong developer momentum.
40,000+ developer users
12,000+ GitHub stars
#1 Trending GitHub repository
Paying customers today
Enterprise pipeline across fintech, legal and private equity
$20K ARR with a target of $1M ARR by year-end
Independent benchmarks also show Memvid outperforming leading memory systems, including Mem0 and OpenAI’s memory implementations on the LOCOMO benchmark.
Current Raise 💰
Pre-Seed: $800,000
The company is raising to accelerate product development, launch Memvid Cloud, expand enterprise security features, grow to 250 enterprise customers and reach $1M ARR.
Pitch Deck 📄
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Please respond directly to this email to request an introduction to the Memvid team.
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