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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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:
What's the overall task? (research a topic, handle support, create content, analyze data?)
What specialist roles do you need? (researcher, writer, rev
[Description truncada. Veja o README completo no GitHub.]