
Agentic AI refers to AI systems that can act autonomously to achieve goals, make decisions, and adapt their behavior based on experience and changing conditions. Unlike traditional AI that responds to specific inputs with predetermined outputs, agentic AI systems can plan, reason about goals, take actions, observe outcomes, and learning from results to improve future performance. These systems combine large language models, reasoning capabilities, tool use, and memory to create autonomous agents that can operate independently in complex environments.
The technology enables AI systems that can handle complex, multi-step tasks, adapt to new situations, and operate with minimal human oversight. Agentic AI can break down complex problems into steps, use tools and APIs to gather information or take actions, reason about the best approach, and learn from experience. Applications include autonomous trading systems that manage portfolios, AI assistants that can complete complex tasks independently, research agents that can investigate topics and synthesize findings, and systems that can operate and optimize processes autonomously. Companies like OpenAI, Anthropic, and various AI firms are developing agentic AI capabilities.
At TRL 6, agentic AI systems are being deployed in various applications, though reliability, safety, and control remain areas of active development. The technology faces challenges including ensuring agents act safely and within intended boundaries, handling unexpected situations, preventing harmful or unintended actions, and maintaining human oversight and control. However, as AI capabilities improve and safety measures develop, agentic AI becomes increasingly powerful. The technology could transform how AI is used by enabling systems that can operate autonomously, handle complex tasks end-to-end, and adapt to changing conditions, potentially automating complex workflows and decision-making processes while raising important questions about control, safety, and the role of human oversight in autonomous AI systems.
Develops the leading open-source framework for orchestrating LLMs and retrieval systems.

OpenAI
United States · Company
Creator of GPT-4o, a natively multimodal model capable of reasoning across audio, vision, and text in real-time.
The commercial entity behind the massive open-source AutoGPT project, building accessible autonomous agents.
Creators of Devin, the first fully autonomous AI software engineer capable of planning and executing complex engineering tasks.
An AI research lab building agents that can reason and code, aiming to create custom AI agents for everyone.
Through Copilot and the 'Recall' feature in Windows, Microsoft is integrating persistent memory and agentic capabilities directly into the operating system.
Builds autonomous browser agents that can navigate the web to perform tasks like booking flights or ordering food.
A global leader in CRM that recently launched Agentforce to deploy autonomous agents across the enterprise.
Co-founded by Bret Taylor, building conversational AI agents for enterprises that can take action on behalf of customers.