AI agents can work together and carry out actions independently. This enables them to achieve better results than normal generative AI solutions. We show the most important tools and frameworks for creating AI agents with and without coding.
AI Agents
Google Gemini 2.0: Agentic AI & multimodal capabilities
The newly launched Google Gemini 2.0 marks a milestone for the next generation of AI models. With revolutionary features such as agentic AI and multimodal capabilities, it demonstrates the potential for profound change in numerous industries.
Microsoft Copilot Studio – Unlock autonomous agent capabilities
Microsoft Copilot Studio is changing the world of AI with the introduction of autonomous agents that are able to independently automate complex business processes. These agents enable companies to achieve significant increases in efficiency and savings, as they can perform a wide range of tasks independently of human resources.
OpenAI Swarm: Orchestrating Intelligent Agents
The coordination of multiple agents represents a significant advance in the use of language models. In the current discussion about innovative AI applications, the orchestration of agents makes a key contribution to increasing efficiency in the intelligent automation of complex tasks.