Taranjeet Singh
Co-founder & CEO, Mem0 · Building the memory layer for AI
Co-founder & CEO, Mem0 · Building the memory layer for AI
Area of Expertise
Area of Expertise
Agent memory
Agent memory
Large Language Models (LLM)
Large Language Models (LLM)
AI infrastructure
AI infrastructure
ABOUT THE AUTHOR
ABOUT THE AUTHOR
Taranjeet leads Mem0 — the memory layer now used by Y Combinator startups, Fortune 500 AI teams, and 160,000+ developers shipping agents to production. His work centers on a question most LLM teams hit but few solve well: how do you give an agent durable, structured memory without ballooning context windows or sacrificing latency? His writing focuses on the practical architecture of memory-augmented agents — the tradeoffs between long context and retrieval, fact extraction at scale, schema design for episodic memory, and why benchmarks like LoCoMo and MemGPT often show such different results in lab vs production environments. He has spoken on these themes at the AI Engineer Summit, LangChain's Interrupt, and other developer conferences.
Taranjeet leads Mem0 — the memory layer now used by Y Combinator startups, Fortune 500 AI teams, and 160,000+ developers shipping agents to production. His work centers on a question most LLM teams hit but few solve well: how do you give an agent durable, structured memory without ballooning context windows or sacrificing latency? His writing focuses on the practical architecture of memory-augmented agents — the tradeoffs between long context and retrieval, fact extraction at scale, schema design for episodic memory, and why benchmarks like LoCoMo and MemGPT often show such different results in lab vs production environments. He has spoken on these themes at the AI Engineer Summit, LangChain's Interrupt, and other developer conferences.
