Types of AI Agents: Definitions, Examples, and How They Work
AI agent types range from simple reflex agents to learning agents. Understand taxonomy by capability and application to select appropriately.
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AI agents come in various types with different capabilities and use cases. Understanding agent taxonomy helps professionals select appropriate tools for specific needs.
Agent Types by Capability
- Simple reflex agents: React to current inputs with predefined rules
- Model-based agents: Maintain internal state for context-aware decisions
- Goal-based agents: Work toward defined objectives
- Learning agents: Improve performance through experience
Agent Types by Application
- Conversational agents: Natural language interaction
- Task automation agents: Workflow and process execution
- Research agents: Information gathering and synthesis
- Creative agents: Content generation and ideation