Let me paint a picture you might recognize. You spend a solid session with an AI coding agent. It understands your project deeply — the architecture, the decisions you made, the weird edge case you worked around. It's flowing. You're building fast. Then you close the laptop. Next day, you open a new session and... blank slate. You're back to square one, re-explaining everything. Which branch. What phase. What was left unfinished. What you already tried. Every. Single. Time. I got tired of it. So I built something small to fix it. The Core Problem: Agents Don't Talk to Each Other When you're working with AI agents across multiple sessions (or multiple agents on the same project), there's no shared memory by default. Each session is an island. What you actually need is a coordination hub — a living document that any agent can read on startup and write to before it leaves. Something that answers: What phase are we in? What tasks are done, in-progress, or pending? What did the last agent accomplish?…