AI Agents & Automation
This cluster covers AI-powered agents and automation solutions to assist and automate business processes, orchestrate distributed systems, and execute repetitive tasks.
- Knowledge domains
- /Thematic areas
- /Segments
- /Building blocks
Agent Patterns
Describes patterns, structure and responsibility boundaries for autonomous AI agents and associated automation workflows within technical architectures. Covers component descriptions, interaction and communication patterns, interface and configuration requirements, fault and scaling limits, observability requirements, security boundaries and integration points. Excludes detailed implementation recipes, operational runbooks, legal assessments, ML training datasets or test data.
Multi-Agent Systems
An architectural paradigm of distributed autonomous agents that cooperate or compete to solve tasks. Focuses on coordination, communication and emergent behavior across software and robotic agents.
Tool-Using Agents
Concept for AI agents that deliberately invoke external tools, APIs and services to extend capabilities and solve tasks pragmatically.