Deshraj Yadav
Blog articles
Library Articles
Your AI Agent's Memory Is Just a File? That's the Problem
Why filesystem-based memory works at first, breaks at scale, and what two years of building AI memory infrastructure with 23M installs taught me.
Long-Term Memory for AI Agents: The What, Why and How
Long-term memory turns stateless AI agents into stateful systems. Learn how vector embeddings, graph memory, and consolidation enable recall across sessions.
Memory for Voice Agents: A Practical Architecture Guide
Build persistent memory for voice agents with this practical architecture guide on retrieval, storage, and key trade-offs like per-round writes vs. sessions. Covers latency fixes, long-session handling, and Mem0 integration for production-ready voice AI tutors, therapy bots, and assistants.
The Architecture of Remembrance: Architectures, Vector Stores, and GraphRAG
AI agent memory allows LLMs to retain and retrieve context across sessions. Learn how agent memory architectures work — from vector stores to GraphRAG — and how to implement them with Mem0.
