Mem0, a leading memory infrastructure platform for AI agents, has raised $24 million in combined Seed and Series A funding to build what it calls the “default memory layer for AI.” Kindred Ventures led the Seed round, and the Series A was led by Basis Set Ventures, with participation from Peak XV Partners, GitHub Fund, and Y Combinator. Strategic investors include Scott Belsky, Dharmesh Shah, and the CEOs of Datadog, Supabase, PostHog, and Weights & Biases.
Despite rapid advances in artificial intelligence, today’s AI agents lack actual memory—forcing users to re-explain context, preferences, and tasks during every session. Mem0’s technology solves this persistent limitation by providing developers with a production-ready memory system that dynamically stores, recalls, and forgets information. The system integrates in just three lines of code and is now embedded into leading AI frameworks, including CrewAI, Flowise, and Langflow, while AWS has selected Mem0 as the exclusive memory provider for its Agent SDK.
Since launch, Mem0 has surpassed 14 million downloads, earned 41,000 GitHub stars, and grown API call volume more than fivefold in 2025. Thousands of startups and Fortune 500 companies now use Mem0 in production to power persistent, personalized, and efficient AI experiences.
The company was founded by Taranjeet Singh (formerly of Paytm and Khatabook) and Deshraj Yadav (formerly of Tesla). With the new funding, Mem0 plans to expand its R&D and developer support teams while accelerating the adoption of persistent AI memory across enterprises and open-source communities.
KEY QUOTE:
“Every agentic application needs memory, just as every application needs a database. We’re using this funding to become the default memory layer for AI agents, making LLM memory accessible and reliable for all developers.”
Taranjeet Singh, Co-founder and Chief Executive Officer, Mem0
