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ai-coordinating-agents

Build multiple AI agents that work together. Use when you need a supervisor agent that delegates to specialists, agent handoff, parallel research agents, support escalation (L1 to L2), content pipeline (writer + editor + fact-checker), or any multi-agent system. Also used for CrewAI alternative, AutoGen alternative, LangGraph multi-agent, agents that talk to each other, specialist agents with a su

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Atualizado há 4 meses

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/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

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Ler descrição completa

Build Multi-Agent Systems

Guide the user through building multiple AI agents that collaborate — a supervisor delegates tasks, specialists handle their domains, and results flow back. Uses DSPy for each agent's reasoning and LangGraph for orchestration, handoff, and parallel execution.

Step 1: Identify the agents

Ask the user:

  1. What's the overall task? (research a topic, handle support, create content, analyze data?)
  2. What specialist roles do you need? (researcher, writer, rev

[Description truncada. Veja o README completo no GitHub.]

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