Building Persistent Memory for AI Agents
AI coding assistants are goldfish with a PhD. They can solve complex problems within a single session — refactoring a module, debugging a race condition, designing an API — but the moment the conversation ends, everything they learned about your project evaporates. After months of building software with Claude Code, I found myself re-explaining the same project conventions, the same architectural decisions, the same mistakes we’d already caught and fixed, at the start of every session. CLAUDE.md files help, but they’re static and they don’t scale. You can’t stuff a dozen projects’ worth of design context into a single markdown file. So I built memstore: a persistent memory system that gives AI agents durable, searchable knowledge across sessions, projects, and machines.