AI can now code, solve Olympiad-level math problems, analyze contracts in minutes, and teach complex topics on demand — yet it still can’t remember. Every new chat starts from scratch. Preferences get lost. Context vanishes. In short, our most advanced intelligence suffers from digital amnesia. That’s the problem Mem0 is solving. The startup — which enables developers to add persistent, contextual memory to any AI system — has raised $24 million across its Seed and Series A rounds to build the foundational memory layer for intelligent software.
The Seed was led by Kindred Ventures, and the Series A by Basis Set Ventures, with participation from Peak XV Partners, GitHub Fund, and Y Combinator. Angel investors include Scott Belsky (Adobe), Dharmesh Shah (HubSpot), and founders from companies like Datadog, Supabase, PostHog, GitHub, and Weights & Biases.
Why AI Needs a Memory Layer
When developers try to give AI systems memory, they quickly discover it’s harder than it looks. Storing interactions is simple — but maintaining accurate, contextual, and evolving memory at scale is not.
Data decays. Facts conflict. Preferences change. Context fragments. What begins as a weekend project quickly turns into months of infrastructure engineering.
“Every hour spent wrestling with memory is an hour not spent building what users actually care about,” said Mem0’s founding team. “That’s what we exist to solve.”
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What Mem0 Does
With just three lines of code, developers can give their AI agents memory that persists, evolves, and adapts over time:
Behind this simple API is a full production-grade memory infrastructure. Mem0 automatically extracts, categorizes, and maintains user memories — layering in decay, confidence, and conflict resolution — while surfacing only the most relevant context during retrieval.
The result: truly personalized, context-aware agents that understand users across sessions, tasks, and platforms.
Since launch, Mem0 has:
- Surpassed 41,000 GitHub stars and 14M package downloads
- Grown API usage from 35M in Q1 to 186M in Q3
- Been integrated into major frameworks like CrewAI, Flowise, and Langflow
- Become AWS’s exclusive memory provider for its new Agent SDK
The Vision: Memory That Just Works
Mem0 is building the “memory layer” for the agentic era — one that’s:
1️⃣ Universal
Every AI application, from chatbots to autonomous agents, will need memory — just like every app needs a database.
2️⃣ Neutral
While major labs may use memory to lock users into their ecosystems, Mem0 stays independent and model-agnostic — working across every framework, every model, every platform.
3️⃣ Portable
Today, user context is trapped in silos. Mem0 envisions a future where memory travels with users across apps and devices, creating seamless, persistent intelligence.
“Tomorrow’s developers won’t ask ‘how do we learn about this user?’” the company said. “They’ll ask ‘how do we integrate what we already know?’”
Backed to Build the Future of AI Infrastructure
With this new funding, Mem0 plans to expand its engineering team, scale infrastructure, and deepen integrations across the AI stack. The goal: make memory a standard building block for intelligent applications.
“AI is advancing at an astonishing pace, but intelligence without memory is incomplete,” said the team. “We’re building the memory layer that every intelligent system will rely on — for every developer, everywhere.”
About Mem0
Mem0 is the leading memory infrastructure platform for AI, enabling persistent, context-rich intelligence across models and applications. Its API allows developers to add adaptive, production-ready memory to any system in seconds. Backed by top-tier investors and already powering millions of daily interactions, Mem0 is defining how AI remembers.
