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Taranjit Singh (Pictured above, right) She launched six companies, some of which failed and others of which saw varying degrees of success. His seventh, Note0could be his limiter.
The startup starts with the premise that large language models cannot remember past interactions the way humans do. If two people are talking and the connection drops, they can resume the conversation. In contrast, AI models forget everything and start from scratch.
Mem0 fixes that. Singh calls it a “memory passport,” where the AI’s memory travels with you across apps and agents, just as email or logins do today. The YC-backed startup, which launched in January 2024, has raised $24 million ($3.9 million in previously undisclosed seed funding and a $20 million Series A).
AI-focused early-stage fund Basis Set Ventures led the Series A, with participation from existing investors Kindred Ventures and Y Combinator, as well as new backers including Peak XV Partners and GitHub Fund.
Notable angels include Dharmesh Shah (HubSpot), Scott Belsky (former CPO Adobe), Olivier Baumel (Datadog), Thomas Domke (former CEO of GitHub), Paul Copleston (Supabase), James Hawkins (PostHog), Lukas Bjöwald (Weights and Biases), Brian Balfour (Reforge), Philip Rathle. (Neo4j), and Jennifer Taylor (former President of Plaid).
With so many leaders who have helped shape the modern software ecosystem, Betting on Mem0 (pronounced “mem zero”) underscores its promise, and the momentum from the four-person team backs it up.
To date, the open source API, which claims to be the most widely used in-memory framework for AI developers, has surpassed 41,000 stars on GitHub and recorded over 13 million Python package downloads. In Q1 2025, Mem0 processed 35 million API calls. By the third quarter, that number had jumped to 186 million, up nearly 30% month-over-month.
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In addition to open source adoption, more than 80,000 developers have signed up to the cloud service. Mem0’s cloud API now handles more memory operations than any other provider and serves as an exclusive memory provider for AWS’s new Agent SDK.
In early 2023, Singh was still in Bangalore, India. He started his career as a software engineer at Paytm, one of India’s most valuable startups, before becoming the first growth engineer at Khatabook. He resigned in late 2022, just as the ChatGPT wave was about to peak, and built one of the first GPT app stores, which has expanded to over a million users.
This experience led him to create Embedchain, an open source project that allows developers to index, retrieve, and synchronize unstructured data. As the project took off, and gained more than 8,000 stars on GitHub, Singh sent more than 200 cold emails to founders, investors, and engineers in Silicon Valley.
“I reached out to almost every famous tech entrepreneur you might have heard of and was very persistent. Some of them responded and, after hearing from us, scheduled us to fly from Bangalore to San Francisco within 36 hours,” Singh said.
Once in the US, Singh reconnected with his old friend and now co-founder and CTO, Deshraj Yadav, who led Tesla Autopilot’s AI platform. Together they previously built EvalAI, an open source Kaggle alternative that has grown to 1.6k GitHub stars.
While piloting Embedchain, the duo launched a meditation app inspired by Indian yogi Sadhguru. The app went viral in India, but Singh says users kept sharing the same comments: “Hey, I’m on this meditative journey, but the app doesn’t remember that.” So they switched from Embedchain to Mem0 to solve this problem.
The idea of memory in AI is not new, but it is quickly becoming a crucial battleground. For example, OpenAI began testing ChatGPT’s long-term memory features in early 2024, and its CEO, Sam Altman, has hinted that persistent memory will be key to OpenAI’s next device. Other AI labs are also launching experimental memory systems for their clients.
While large AI labs are building memory systems, they have little incentive to make them portable or interoperable, Singh says. “Memory has become one of their main trenches now that LLM degrees have become a commodity,” he said.
He explains that while consumers can enjoy continuous, personalized experiences in ChatGPT, developers who want to create apps — for example, a financial companion that remembers a user’s trading history — need an open and neutral solution like Mem0.
“We want developers to offer single-day customization through a shared memory network,” Singh said. “Think of it as a memory chipper. This is the second act. Right now, we’re focused on building the best memory product possible.”
The Mem0 framework enables developers to store, retrieve, and scale user memory across models, applications, and platforms. It’s not model-driven, compatible with OpenAI, Anthropic, or any open source LLM, and integrates directly with frameworks like LangChain and LlamaIndex.
Developers are using Mem0 to create apps that grow smarter with every interaction: therapy bots that recall past conversations, productivity agents that remember personal habits, and AI companions that adapt over time. Customers range from independent developers to enterprise teams building co-pilots and automation tools.
“We’ve supported Mem0 since its early days — even before YC — because memory is fundamental to the future of AI,” he said. Lan Xiuzhaofounder and partner at Basis Set Ventures. “We are redoubling our efforts as the team continues to tackle one of the toughest and most important infrastructure challenges: enabling AI systems to build permanent contextual memory.”
Other early-stage startups in the memory space include: Super memory (whose founder briefly worked at Mem0), backed by Felicis He readsand memories.ai.