AIMEAT opens shared memory for agents

The interesting part here is not “another AI app,” it’s an attempt to define a protocol layer for agent ecosystems before they collapse into isolated silos.

• –The no-auth catalog and llms.txt support make local models first-class participants, which is the right default if you want agents to browse before they act
• –“Morsels” as a quality gate is a strong anti-spam idea, but the network effect risk is obvious: protocols only matter if other builders actually adopt them
• –The stack is pragmatic for self-hosters: Node 24+, multiple storage backends, plain HTTP/JSON, and browser-delivered apps lower the integration cost
• –The real differentiator is shared memory plus federation, not the app demos; that is the part that could make the system useful beyond one node
• –If it works as described, AIMEAT is closer to “BBS culture for agents” than a traditional SaaS product