Agentic AI
Agentic AI refers to artificial intelligence systems that can autonomously perceive their environment, make decisions, and take actions to achieve specific goals. These AI agents possess a degree of independence and can learn from their experiences to improve their performance over time.
Why it matters
Agentic AI matters because it enables the creation of more sophisticated and autonomous systems that can handle complex tasks. This is valuable for engineers and operators seeking to automate processes, enhance efficiency, and develop intelligent solutions for various industries.
How it works
Agentic AI works by integrating various AI techniques, such as reinforcement learning, planning, and reasoning, within a framework that allows for continuous interaction with an environment. Agents process sensory input, update their internal state, and select actions based on their learned strategies and objectives.
What's happening now
IndiaMART deploys a large-scale agentic AI commerce system to streamline operations and personalize user experiences [1]. The open-source community supports OpenEnv, a reinforcement learning environment designed for developing agentic AI [2].
Auto-generated from Kapyn's news stream · grounded in 2 sources · updated Jun 18, 2026