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Topic

AI agents

Also known as Agentic AI

AI programs that pursue goals, use tools, and act with some autonomy.

Why it matters. AI agents are the form AI deployment took after chatbots, and their limits and risks are an active research and enterprise concern.

Definition
AI program that pursues goals, uses tools, and takes actions with some autonomy1
Typical control flow
Large language models1
Term popularized
"Agentic" used with frequency from 2024, popularised in part by Andrew Ng1
Deployment inflection
Late 2023, after OpenAI's function-calling API1
MCP introduced
Late 2024, by Anthropic1
Early theoretical work
Oliver Selfridge's 1958 "Pandemonium" paper1
Widespread practical agents
1990s, after the belief–desire–intention software model1

Common orchestration patterns

  1. Prompt chaining1

    Output of one step serves as input for the next.

  2. Planner-critic1

    One agent generates a proposal, another evaluates it.

Application archetypes

  1. Business-task agents1

    Acting within enterprise software; one of seven archetypes identified by The Information.

  2. Coding agents1

    Such as Cursor; software development was described by New York Magazine in August 2025 as the most definitive use of AI agents.

  3. Web browser agents1

    Such as OpenAI Operator.

Key dates

The shading behind a date shows how recent it is: full within 3 months, empty after 2 years.

  1. 3 years ago

    OpenAI function-calling API released1

    Accelerated deployment of LLM agents from late 2023.

  2. 2 years ago

    Model Context Protocol introduced1

    Anthropic's standardised way for LLM agents to gain contextual awareness and call external tools.

Sources

  1. AI agent (Wikipedia) (opens en.wikipedia.org) read 2 Oct 2026
  2. AI agent (Wikidata Q132451509) (opens wikidata.org) read 2 Oct 2026

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