The Architecture of Local-First AI Memory: No Cloud, No Keys, No Read-Time LLMs

This story was originally published on HackerNoon at: https://hackernoon.com/the-architecture-of-local-first-ai-memory-no-cloud-no-keys-no-read-time-llms. Inside local-first memory for Claude Code, Cursor, and Codex: SQLite plus LanceDB storage, async writes, and hybrid recall with no LLM on the read path. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-agents, #ai-memory, #claude, #mcp, #local-ai, #local-first-architecture, #ai-memory-architecture, #semantic-search, and more. This story was written by: @oleksiijko. Learn more about this writer by checking @oleksiijko's about page, and for more stories, please visit hackernoon.com. PMB is a local-first memory system for AI agents that stores knowledge in SQLite and LanceDB, avoids LLM calls on the read path, and prioritizes fast, deterministic retrieval. This article explores the storage model, asynchronous write path, hybrid retrieval architecture, memory lifecycle management, and the design principles behind persistent agent memory that remains fully under user control.