I Built a tool to give AI coding agents persistent memory and a way smaller token footprint

Been building with AI coding agents for a while now. Claude Code, Cursor, Antigravity, and two things kept annoying me enough that I finally just built something to fix them. The two problems Problem 1: Your agent reads a 1000-line file and burns 8000 tokens doing it. That's before it's done anything useful. Large codebases eat context fast, and once the window fills up, you're either compressing (lossy) or starting over. Neither is great. Problem 2: Every new session, your agent starts from zero. It doesn't remember that the API rate limit is 100 req/min. It doesn't remember the weird edge case in the auth module you spent two hours debugging last week. It doesn't remember anything . You either re-explain everything, or watch it rediscover the same gotchas. These aren't niche complaints — if you're using AI agents to work on real codebases, you've hit both of these. What I built agora-code — persistent memory and context reduction for AI coding agents. Works with Claude Code, Cursor,