MemO, a memory infrastructure platform for AI agents, on Wednesday announced that it has raised $24 million in combined seed and Series A funding led by Basis Set Ventures.
The funding also saw participation from Peak XV Partners, Kindred Ventures, GitHub Fund, and Y Combinator. The round included investments from technology leaders Scott Belsky and Dharmesh Shah, alongside CEOs of infrastructure companies including Olivier Pomel (Datadog), Paul Copplestone (Supabase), James Hawkins (PostHog), Thomas Dohmke (ex-GitHub), and Lukas Biewald (Weights & Biases).
With this funding, MemO will expand its engineering team, enhance memory capabilities for complex enterprise use cases, and establish partnerships with major AI platforms and frameworks, it said in a statement.
“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 and LLMs—making LLM memory as accessible and reliable as databases or authentication. The developers who integrate rich user context from day one will build the next generation of breakthrough applications,” said
Taranjeet Singh, co-founder and CEO of MemO.
Founded in 2023 by Singh and Deshraj Yadav, MemO is headquartered in San Francisco with operations in India. The platform provides production-ready agent memory infrastructure that developers can integrate with three lines of code, transforming stateless agents into systems with powerful personalisation. Their memory layer extracts and categorises information from interactions, applying metrics like decay and confidence, resolving conflicting facts, and retrieving only the most relevant memories in context.
Since launching, the company claims to have reached 41,000 GitHub stars and 14 million Python package downloads, with API calls growing from 35 million in Q1 to 186 million in Q3 2025, according to the statement.
