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Mem0 raises $24M to build the memory layer for AI

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Taranjeet Singh

Posted In

28th Oct 2025

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News

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Author

Taranjeet Singh

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28th Oct 2025

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News

We live in extraordinary times. AI can now write complex software from natural language prompts, solve IMO problems, analyze thousand-page contracts in minutes, and guide you through learning practically anything. We've blown past the Turing test and built intelligence that matches or beats human capability across many domains.

Yet these same systems suffer from a fundamental flaw: they can't truly remember anything. Sure, individual chat sessions can recall earlier messages. But real memory—the kind that builds deep understanding over time, transfers seamlessly between contexts, and enables genuine personalization—remains elusive. 

Most interactions still start largely from scratch. Users paste the same context into ChatGPT over and over. They watch coding assistants suggest the same rejected patterns dozens of times. They re-explain their preferences to customer support bots that helped them yesterday. Our most sophisticated intelligence is trapped in digital amnesia.

The agentic future depends on solving memory. But when developers try to build it themselves, they discover it's far harder than expected.

That's where Mem0 comes in. With just three lines of code, developers can transform stateless agents into systems with powerful personalization. Since launch, thousands of developers, startups, and enterprises have trusted us with their memory needs in production.

Today, we're announcing our $24M raise across Seed and Series A. Our Seed round was led by Kindred Ventures, and our Series A was led by Basis Set Ventures, with participation from Peak XV Partners, GitHub Fund, and Y Combinator. We're also backed by an incredible group of angel investors including Scott Belsky, Dharmesh Shah, and the CEOs of companies that have built core infrastructure at scale—Olivier Pomel (Datadog), Paul Copplestone (Supabase), James Hawkins (PostHog), Thomas Dohmke (ex-GitHub), and Lukas Biewald (Weights & Biases).

Memory is deceptively hard

When developers realize their AI applications need memory, their first instinct is to build it themselves. It seems straightforward: store interactions, retrieve relevant context. A weekend project at most.

Then reality sets in. Simple semantic search fails to preserve nuanced context. New preferences clash with old ones. Recent information gets buried under stale data. Duplicates multiply. What starts as a simple project becomes months of engineering work tackling problems that only surface at scale.

Every hour spent wrestling with memory infrastructure is an hour not spent on what actually matters: building exceptional experiences for users in your domain.

This is what Mem0 solves.

What is Mem0

Mem0 is production-ready memory infrastructure that any developer can integrate with just three lines of code:

from mem0 import Memory
m = Memory()
m.add("I am planning a trip to San Francisco.", user_id="bob")

Behind this simple API, we handle the complexity of memory at scale. We extract memories from interactions, categorize them, layer in metrics like decay and confidence, and update them intelligently when conflicting facts emerge. During retrieval, we use sophisticated algorithms that make sense of these factors and surface only the relevant memories in the context of the interaction. Put simply, we take care of all the messy details you don’t want to. 

Since launching, we've crossed 41,000 GitHub stars and 14 million Python package downloads. Our API calls are growing exponentially—from 35 million in Q1 to 186 million in Q3 this year.

Beyond the numbers, Mem0 has gained wide adoption. Thousands of teams, from the fastest-growing startups to Fortune 500 companies, use us in production. Major agentic products like CrewAI, Flowise, and Langflow integrate Mem0 natively. AWS selected us as the exclusive memory provider for their new Agent SDK. 

Thanks to the support of our customers, Mem0 has become the go-to memory provider for the AI ecosystem.

What’s Next

We're still in the early days of the agentic revolution. When we think about how to serve the memory needs of developers building the future, three principles guide our vision.

Make It Work

Just like every application needs a database, every agentic application needs memory.

Tomorrow's users will expect software to understand them, learn from past interactions, and evolve with their needs. Mem0 will keep pushing the boundaries to ensure memory just works for the next generation of agentic applications.

Make It Neutral

We're seeing big labs use memory in their consumer products as a retention mechanism, a way to lock users in. Soon, they'll likely repeat this pattern in their APIs. But developers don't want that constraint.

Today's agentic applications use different models for different tasks, constantly switching as new capabilities emerge. The last thing you want is your memory—the accumulated understanding of your users—locked to a single provider.

Mem0 stays neutral. One memory layer that works across every model, every framework, every platform.

Make It Portable

Today, memories are trapped in silos. Every agentic application builds its own isolated context, never connecting with others. As users accumulate rich histories in one app, starting from scratch elsewhere becomes increasingly frustrating.

This isn't sustainable. User expectations always bend toward less friction, and nothing creates more friction than reconstructing context across dozens of AI agents. Just as contacts became portable across devices and services, memory will too. Users will demand their context travels with them.

This shift will fundamentally change how applications are built. Today, developers ask "how do we learn about this user?" Tomorrow, they'll ask "how do we integrate what we already know?" Forward-thinking developers will recognize the value of having rich context available from day one. This is a powerful new capability unlock.

We're building memory infrastructure for today's applications and tomorrow's expectations: your memory, wherever you need it.

Join us

AI capabilities are advancing at breakneck speed, transforming how we work and live in real time. Yet the gap between increasing intelligence and its inability to remember remains a critical bottleneck. Those who solve this will unlock tremendous value for themselves and the world.

At Mem0, we find ourselves at the heart of the agentic revolution, with a once-in-a-lifetime opportunity to solve one of the hardest and most important problems in technology. We're well-capitalized, backed by top investors, and our infrastructure already powers millions of interactions daily.

Intelligence needs memory, and we're building it for everyone.

If this mission excites you, come join our team. Apply here.

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Give your AI a memory and personality.

Instant memory for LLMs—better, cheaper, personal.

Give your AI a memory and personality.

Instant memory for LLMs—better, cheaper, personal.

Give your AI a memory and personality.

Instant memory for LLMs—better, cheaper, personal.

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