SingularityNET launches MetaMo framework for AGI motivational systems SingularityNET has released MetaMo, a unified formal framework for general artificial intelligence (AGI) motivational systems. This framework combines category theory, functional analysis, and topology to provide support for open agents that can self modify and evolve their own goals and drivers. MetaMo aims to guide the design of stable and adaptable AGI systems that can safely undergo incremental self-improvement, become trusted collaborators in multi-agent communities, and achieve scalability through parallel sub agents. Officially, MetaMo will provide guidance for designing stable and adaptable AGI systems, and demonstrate its conceptual applications through online research assistant examples.