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Taranjit Singh (pictured above, right) launched six companies, some failing and others seeing varying degrees of success. his seventh, Mem0His may be the defining one.
The startup starts with the premise that large language models cannot remember past interactions like humans. If two people are chatting and the connection is lost, they can start the conversation again. AI models, in contrast, forget everything and start from scratch.
Mem0 fixes it. Singh calls it a “memory passport,” where your AI memory travels with you across apps and agents, just like email or logins do today. The YC-backed startup, which launched in January 2024, has raised $24 million (previously unannounced seed funding of $3.9 million and a $20 million Series A).
The AI-focused early-stage fund led the Series A with participation from Basis Set Ventures, 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 (ex-CPO Adobe), Olivier Pommel (Datadog), Thomas Dohmke (ex-CEO GitHub), Paul Copplestone (Supbase), James Hawkins (Posthog), Lukas Biwald (Weights & Biases), Ralifrian Philfarian (India). (Neo4j), and Jennifer Taylor (Past President, Plaid).
Mem0 (pronounced “mem zero”) has several leaders who have helped shape the modern software ecosystem underscore its promise, and the traction from the four-person team backs it up.
To date, the open source API, which claims to be the most adopted in-memory framework for AI developers, has surpassed 41,000 GitHub stars and recorded more than 13 million Python package downloads. In Q1 2025, Mem0 processed 35 million API calls. By Q3, that number had risen to 186 million, growing nearly 30% month over month.
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Beyond open source adoption, more than 80,000 developers have signed up for its cloud services. Mem0’s cloud API now handles more memory operations than any other provider and serves as the 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 Khatabook’s first growth engineer. He left in late 2022, just as the ChatGPT wave was about to crest, and built one of the first GPT app stores, reaching over a million users.
That experience led him to create EmbedChain, an open source project that allows developers to index, retrieve and sync unstructured data. As the project took off, earning more than 8,000 GitHub stars, Singh sent more than 200 cold emails to Silicon Valley founders, investors and engineers.
“I reached out to almost every famous tech entrepreneur you might have heard of and was pretty persistent. Some of them responded, and after listening to us, scheduled us to fly from Bangalore to San Francisco in 36 hours,” says Singh.
Once in the US, Singh reconnected with his longtime friend and now co-founder and CTO Deshraj Yadav, who led the AI ​​platform at Tesla Autopilot. Together, they previously developed EvalAI, an open source Kaggle alternative that has grown to 1.6K GitHub stars.
While experimenting with Embedchain, the pair launched a meditation app inspired by Indian yogi Sadhguru. The app went viral in India, but Singh says users continue to share the same reaction: “Hey, I’m on this meditation journey, but the app doesn’t remember.” So they pivoted from Embedchain to Mem0 to solve that problem.
The concept of memory is not new for AI, but it is quickly becoming a critical battleground. OpenAI, for example, began testing long-term memory features on ChatGPT in early 2024, and its CEO, Sam Altman, has indicated that persistent memory will be central to OpenAI’s upcoming hardware devices. Other AI labs are also launching experimental memory systems for their agents.
Singh argues that while large AI labs are building memory systems, they have little incentive to make them portable or interoperable. “Memory is becoming their moat now that LLMs are being commoditized,” he said.
He explains that customers can enjoy a continuous, personalized experience on ChatGPT, but developers who want to build applications — say, a finance companion that remembers a user’s trading history — need an open, neutral solution like Mem0.
“We want developers to offer personalization from day one through a shared memory network,” Singh said. “Think of it as a plaid for memory. It’s two jobs. For now, we’re laser-focused on making the best possible memory product.”
Mem0’s framework allows developers to store, retrieve and develop user memory across models, applications and platforms. It is model-agnostic, compatible with OpenAI, Anthropic, or any open source LLM and directly integrates with frameworks like LangChain and LlamaIndex.
Developers use Mem0 to create applications that get smarter with each interaction: therapy bots that remember past conversations, productivity agents that remember personal habits, and AI companions that adapt over time. Customers range from indie developers to enterprise teams building Copilot and automation tools.
“We supported Mem0 from its early days – even before YC – because memory is the foundation of the future of AI,” said Lan XuezhaoFounder and Partner at Basis Set Ventures. “We’re doubling down as the team continues to tackle one of the toughest and most important infrastructure challenges: enabling AI systems to create long-lasting, relevant memories.”
Memory Space includes other early-stage startups Supermemory (whose founder briefly worked on Mem0), Felicis-backed Read onAnd memory.ai.
