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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 agent, the Orchestrator, directs four other agents to solve tasks. Agents available include: 1. Orchestrators - the lead agent responsible for directing the task 2. WebSurfer - the LLM-based agent that can surf the web in a browser 3. FileSurfer - the agent that can navigate files and folders 4. Coder - the agent who can write new code 5. ComputerTerminal - a console shell where code can be executed
Founder | Agentic AI... • 3m
Enterprise AI agents are systems, not simple prompts. Some teams use a single agent with tools. This works well for simple automation tasks. Structured work often uses agents in sequence. Each agent handles one clear stage. At scale, tools are cen
See MoreStartups | AI | info... • 11m
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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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 a
See MoreFounder | Agentic AI... • 1m
Everyone talks about AI agents. Very few people understand what’s actually happening under the hood. Here’s the vocabulary that shows up constantly when working with agent systems. First, the core ideas. An agent is software that observes informat
See MoreAI agent developer |... • 6m
🚨 BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context → Take action → Verify work → Repeat. Your agent searches files, executes tasks, checks its output, t
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