Plan-Execute-Verify Framework

Modular agent coordination patterns in AG2 allowing developers to swap orchestration logic without changing agent code, enabling flexible multi-agent workflows.

System that coordinates multiple AI agents to work together on complex tasks, managing task distribution, parallel execution, and result synthesis. Key component in ASMR and other multi-agent systems.

Agent architecture pattern in AG2 where agents respond to events rather than polling, enabling better async execution, scalability, and resource efficiency.

AI-native search framework that provides end-to-end neural search pipeline orchestration, supporting embedding models, vector indexing, and semantic search, with DocArray for data representation.

Multimodal memory system for lifelong learning agents capable of simultaneously understanding and remembering text, images, and video. Represents a step beyond traditional text-only memory systems toward multimodal context management for AI agents operating in diverse data environments.

Open-source visual AI programming environment from Ironclad for building complex AI agents and prompt chains using node-based drag-and-drop interface with real-time debugging capabilities.