Skip to main content
Back to Technologies TECHNOLOGY

AI Agents & Agentic AI Overview

Autonomous or semi-autonomous AI systems that plan, use tools and take multi-step actions to complete tasks.

Artificial IntelligenceTechnology
56Communities
1.9M+Members reached
1Categories

AI agents extend large language models with planning, memory and tool-use so they can carry out multi-step workflows — from software engineering tasks to business process automation — with limited human supervision.

Capabilities

Multi-step task planningTool and API useAutonomous workflow executionMemory and context management

Use Case Areas

Software engineering automationCustomer service agentsResearch and data gatheringBusiness process automation

Key Features

AI Agents & Agentic AI

Ecosystem

Market Snapshot

Adoption: Early/Growing

Growth trend: Trending

AI INSIGHTS

What the AI angle looks like.

Learn about AI Agents & Agentic AI, including its capabilities, practical applications, related technologies, industry use cases and professional communities.

AI Agents & Agentic AI
COMMUNITIES

LinkedIn groups built around AI Agents.

Agentic AI Intelligence

Agentic AI Intelligence

286,118+ members

Professional LinkedIn group for members interested in Agentic AI Intelligence.

DataThick AI | Artificial Intelligence Community

DataThick AI | Artificial Intelligence Community

62,015+ members

Welcome to DataThick AI | Artificial Intelligence Community — a professional community for AI professionals, engineers, developers, researchers, data scientists, technology leaders, and enthusiasts.

Agentic AI Community

Agentic AI Community

11,249+ members

Professional LinkedIn group for members interested in Agentic AI Community.

Agentic AI Developers

Agentic AI Developers

22,576+ members

Professional LinkedIn group for members interested in Agentic AI Developers.

RESEARCH

Related research.

Analytics Engineering

Building a metrics layer that analysts trust

Why a shared metrics layer reduces conflicting numbers across dashboards, and how to roll one out.

Data Engineering

Data quality checks every pipeline should run

The core set of automated checks that catch broken pipelines before they reach a dashboard.

GenAI

What data teams should measure as GenAI adoption grows

A research-backed view of the outcomes data teams should connect to GenAI adoption.

2026

2026 State of GenAI in Data Teams

Measure organizational adoption, individual usage, use cases, productivity impact, trust, risks, tool preference and 12-month outlook.

Explore more

Browse every technology in the DataThick directory.

View Technologies →