Agent Core

The Amigo platform is used to develop advanced conversational agents that address complex problems by navigating dynamically structured contexts. Traditional conversational AI either relies on rigid scripts or lacks structured guidance entirely; Amigo Agents are instead built to adaptively navigate across context graphs to balance strong control over behavior and situational flexibility. This design mimics how human experts deliver services.

An Amigo agent comprises two key components (Core Persona and Global Directives as detailed in the following subsections) that dictate how it behaves in a vacuum. However, problem solvers do not exist in a vacuum - this is why our agent architecture is unified with the other key components of the Amigo system: context graphs, functional memory, and dynamic behaviors. These components are not treated as isolated silos but as deeply intertwined facets of a single cognitive challenge, enabling a holistic approach to Memory, Knowledge, and Reasoning. The effectiveness of an Amigo agent hinges on the high-bandwidth integration and cyclical optimization of these elements.