Repository Memory System for Coding Agents

A system that gives AI coding agents persistent memory of your codebase, project structure, and context so they can make better decisions across multiple coding sessions. Improves AI-assisted development by eliminating repeated explanations.

Coding agents like Cursor, Copilot, and Claude's computer use are hitting real adoption walls around context loss — every new session starts cold, and developers are burning time re-explaining architecture decisions and conventions. No clear incumbent owns persistent memory as a standalone layer; most solutions are baked into specific editors or agent frameworks, leaving room for something tool-agnostic. The $1k–5k/mo band is plausible for a dev-tools utility targeting individual power users or small teams, though it stays modest unless there's a path to per-seat pricing at the team level. The core risk is platform absorption — Cursor, GitHub, or Anthropic adding native memory features collapses the market overnight, and with one cross-source mention, there's limited evidence developers are actively paying for this versus just tolerating the friction.