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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.
https://arnavgoyal.m... • 2m
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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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
See MoreStartups | AI | info... • 1m
AI Agents now have muscle memory. This Python SDK records agent tool-calling patterns, replays them for repeated tasks, and falls back to agent mode for edge cases. 100% Opensource. Read more here: https://www.theunwindai.com/p/muscle-memory-for-a
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