Hey I am on Medial • 11m
make ai agents without writing single line of code Microsoft AutoGen: Advancing AI Agent Collaboration Microsoft's AutoGen is an open-source framework designed to simplify the creation of multi-agent systems using large language models (LLMs). It allows developers to build AI agents that collaborate on complex tasks, improving efficiency and scalability. AutoGen supports asynchronous messaging, a modular architecture, and both local and distributed runtimes, making it a flexible tool for AI-driven workflows. With the latest 0.4 release, AutoGen has seen improvements in code quality, robustness, and usability, further enhancing its capabilities. Developers can use it to orchestrate AI agents, integrate APIs, and even run local LLMs, making automation more seamless and efficient.
Founder | Agentic AI... • 10d
Stop guessing which agentic AI tool fits your workflow. If you’re building agents, automations, or AI-powered systems in 2026, this guide will help you pick the right tool for the job. Top 10 Agentic AI Tools and Their Strengths: 1. n8n – Ideal for
See Morehttps://arnavgoyal.m... • 10m
Introducing Nodey – A Low-Code Platform for Building LLM Flows and AI Agents Locally I'm building a project called Nodey, a low-code, drag-and-drop platform that helps you create LLM workflows and AI agents without needing to write a lot of code. C
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Hey I am on Medial • 1y
Microsoft has launched a new piece of open source infrastructure which allows users to direct multiple AI agents to work together to complete user tasks. Magentic-One (a play on Microsoft and Agentic) employs a multi-agent architecture where a lead
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Cloud Devops Enginee... • 7m
Kiro – The AI IDE from Prototype to Production Why Kiro? It brings structure to AI coding with spec-driven development—no more chaos, just clear specs, designs, tasks, and production-ready code. How? You write prompts → Kiro turns them into specs → a
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