Explore how the blackboard pattern enables multiple specialized agents to work together on complex problems through shared knowledge spaces and opportunistic reasoning.
Discover how Goal-Oriented Action Planning (GOAP) enables AI agents to dynamically create flexible plans that adapt to changing conditions, from game NPCs to modern autonomous systems.
Learn how to build complex, stateful AI agent systems using graph-based architectures with LangGraph—a paradigm shift from linear chains to cyclic, controllable workflows.
