The Encyclopedia of AI Agents
Agentology
An anthropological framework for understanding autonomous AI systems — their taxonomy, behavior, evolution, and ecology.
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Eight domains adapted from anthropological methodology
Trace the origins and evolution of AI agent systems
Explore AnatomyExplore architecture, memory, and computational structures
Explore TaxonomyClassification systems for autonomous agents
Explore EthologyUnderstand behavioral patterns and failure modes
Explore LinguisticsPrompts, protocols, and agent communication
Explore SociologyMulti-agent dynamics and coordination
Explore EcologyEnvironments, niches, and competitive landscapes
Explore EthicsAlignment, governance, and moral frameworks
ExploreRecent Entries
Latest additions to the encyclopedia
Agent Harnessing Patterns
How modern open-source coding agents harness language models—the architectural patterns for loops, tools, permissions, sessions, and multi-agent orchestration extracted from OpenCode, Codex, OpenHands, Oh My OpenCode, and Pi.
anatomyActor Model
Carl Hewitt's model of computation as autonomous actors communicating via messages—the theoretical foundation for distributed agent systems.
anatomyBDI Model
The Belief-Desire-Intention architecture—a philosophical framework that became a practical blueprint for goal-directed autonomous agents.
archaeologyCybernetics
The science of control and communication in animals and machines—the intellectual foundation that gave birth to the concept of autonomous systems.
archaeologyExpert Systems
The rule-based AI systems of the 1970s-80s that encoded human expertise in formal logic—and the lessons from their spectacular rise and fall.
archaeologyNeural Networks History
From McCulloch-Pitts neurons to deep learning—the parallel paradigm that ultimately enabled modern AI agents through learning rather than programming.
Start Your Journey
Begin with the foundational concept of Agentogenesis — the emergence and evolution of AI agent systems.