Articles for tag: AI Agents, Dapr Agents, Kubernetes, large language models, multi-agent coordination, software development, workflow integration

Market News

Scalable AI Workflows with Dapr Agents: Harnessing LLMs, Kubernetes, and Multi-Agent Coordination for Enhanced Performance

Dapr has launched Dapr Agents, a cutting-edge framework designed for building scalable AI agents using Large Language Models (LLMs). This framework simplifies the creation of complex workflows and facilitates collaboration between multiple agents. With Dapr’s reliable infrastructure, Dapr Agents can support thousands of agents on a single core, all while maintaining strong security and observability. ...

Market News

Build Resilient AI Agents with Workflow Orchestration, Security, and Telemetry Using Dapr Dapr-Agents for Autonomous Solutions

Dapr Agents is a powerful framework that helps developers create robust AI agent systems that can scale effortlessly. Built on the reliable Dapr project, it enables the development of AI agents capable of reasoning, acting, and collaborating, using advanced Large Language Models. Key features include the ability to run thousands of agents efficiently on minimal ...

Market News

Build Autonomous AI Agents with Dapr: Resilient, Observable, and Secure Workflow Orchestration for Seamless Integration and Telemetry

Dapr Agents is a powerful framework for developers to create scalable and resilient AI agent systems using Large Language Models. Leveraging the Dapr project, it allows developers to build agents that can reason, act, and work together effectively. With features like automatic task retries, built-in observability, and multi-agent collaborations, Dapr Agents ensures workflows run smoothly, ...

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