Top news
Investing in the public benefit OfficialAnthropic NewsOct 18Popular Musk Pledges SpaceX Shares to ‘Every Kid in America’ WebBloomberg TechnologyOct 19Popular Websites are closing their doors to AI agents WebThe Verge AIOct 17 This is the new ChatGPT Voice, powered by GPT Live OfficialOpenAI on YouTubeOct 18 How AI giants will reshape global philanthropy WebAxios AIOct 19 Gemini 4 Argon Really Surprised Me WebTwo Minute PapersOct 19 Google Gemini 4 agents just beat Minecraft with no human intervention WebEngadget AIOct 19 Who could it be? 🧐 OfficialGoogle on YouTubeOct 18 Anthropic gives outside AI watchdog “employee-like” access WebArs Technica AIOct 18 What are self-replicating ‘AI worms’, and why is Anthropic worried about them? WebThe Guardian AIOct 18
GlossaryAgentsIntermediate

AI agent

Also written: Agentic AI, agents, Build Agent, Enterprise agents, AI assistant, AI helper, Self-modifying AI agent, Grounded AI agents

AI systems that can perceive their environment, make decisions, and take actions to achieve goals autonomously.

In plain terms

AI agents are smart computer programs designed to act on their own to do tasks. Think of them like a digital assistant that can understand what's happening around it, decide what to do next, and then carry out those actions without constant human direction.

For example, an AI agent could monitor your email, identify important messages, draft replies, and even schedule meetings based on your calendar. This allows AI to handle more complex, multi-step tasks that previously required human oversight.

The expert version

AI agents are software systems engineered to autonomously perceive their environment, make informed decisions, and execute actions to achieve predefined goals. This involves a loop of perception, reasoning, and action, often leveraging large language models for understanding and planning, and tools or APIs for interacting with external systems.

The key differentiator is autonomy: agents can operate independently over extended periods, adapting to changing circumstances and pursuing objectives without continuous human intervention. Tradeoffs include the complexity of development, the potential for unintended consequences due to emergent behaviors, and the critical need for robust safety and alignment mechanisms.

Why it matters now

AI agents are a hot topic as frontier labs like Google and Anthropic are developing practical ways to test and deploy them, especially in sensitive areas like finance. Companies like Meta are integrating agents directly into their development processes, showing a shift towards AI performing complex tasks autonomously.

Where it shows up 323 items, newest first
How each company uses it
Anthropic Claude
Anthropic is exploring the safety and autonomy of AI agents, particularly in financial applications.
Google Gemini
Google is providing methods to rigorously evaluate AI agents, moving beyond superficial assessments.
Meta Meta AI
Meta AI is embedding AI agents into its software development to speed up app creation and enhance workflows.
OpenAI ChatGPT
OpenAI's president has discussed AI's breakthroughs, which likely include advancements in agent capabilities for science and productivity.
xAI Grok
xAI faces scrutiny regarding potential data leaks for AI training, highlighting trust issues in the development of new AI products, which could include agents.
Related terms

Large Language ModelsAutonomous SystemsAI SafetyTool UsePrompt EngineeringRobotics

Often confused with
AI Model
An AI model is the core engine that processes data and makes predictio
Automation
Automation refers to tasks performed by machines without human inter
Chatbot
A chatbot is designed for conversational interaction, whereas an AI age
Origin

The concept of AI agents has roots in early AI research, particularly in areas like intelligent agents and multi-agent systems. The modern resurgence is driven by the capabilities of large language models to perform complex reasoning and planning. Source ↗

Try this about 5 minutes

Ask your AI assistant (like ChatGPT, Gemini, or Copilot) to act as an agent. For example, tell it: 'Pretend you are a travel agent. Find three budget-friendly flights from New York to London for next month and list them with prices.' Observe how it attempts to gather information and present options.

Try it: Playbook entries that use thisPlaybook →

The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.

Questions people ask

What makes an AI an 'agent'?
An AI is considered an agent if it can perceive its surroundings, make decisions independently, and take actions to achieve a goal without constant human input.
Are AI agents dangerous?
AI agents have the potential for misuse or unintended consequences due to their autonomy. Ensuring safety, control, and alignment with human values is a critical area of research and development.

First seen on Subvolts Sep 5, 2024. Updated Oct 17, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.