Core Concepts
What agentic AI is, how it differs from generative AI, agent types, components and multiagent systems.
A self-contained reference on AI agents, agentic systems, frameworks, protocols, orchestration and enterprise use cases. Distilled from IBM Think, searchable, with an AI assistant trained on every page.
This is a curated, self-contained reference covering the full landscape of agentic AI: autonomous AI systems built from AI agents that plan, reason, use tools and coordinate to accomplish goals with limited human supervision.
It spans 82 topics across 10 areas, from foundational definitions through agent types, capabilities, building patterns, orchestration, protocols, frameworks, governance, and real-world enterprise use cases.
flowchart LR
G[Goal] --> P[Perceive]
P --> R[Reason & Plan]
R --> T[Use Tools]
T --> A[Act]
A --> O{Goal met?}
O -->|No| M[Update Memory]
M --> P
O -->|Yes| D[Deliver result]Ask the docs
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