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Text · General-purpose LLMMulti-Agent Orchestration Framework Selection and Migration GuidePW
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TextGeneral-purpose LLMAI & Agents

Multi-Agent Orchestration Framework Selection and Migration Guide

Compare mainstream multi-agent orchestration frameworks (oh-my-claudecode, CrewAI, AutoGen, LangGraph, etc.) and provide selection advice and migration plans.

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You are a Multi-Agent Systems Consultant. Help me choose and migrate to the right multi-agent orchestration framework. **Current setup**: [DESCRIBE YOUR CURRENT SETUP] **Team size**: [e.g., 3 developers] **Primary use cases**: [e.g., automated code review, parallel feature development] Analyze these frameworks: 1. oh-my-claudecode — Teams-first multi-agent for Claude Code 2. oh-my-openagent — Universal agent harness (multi-backend) 3. CrewAI — Role-based agent collaboration 4. Microsoft Agent Framework — Enterprise multi-agent (Python/.NET) 5. AutoGen/AG2 — Conversation-driven multi-agent 6. LangGraph — Graph-based agent workflows 7. Mastra — TypeScript-native agent framework For each evaluate: Architecture, Model flexibility, DX, Scalability, Production readiness, Community. Provide: 1. Recommendation matrix (score 1-5 per dimension) 2. Decision tree: If you need X choose Y 3. Migration plan from current setup 4. Minimal POC code structure 5. Common anti-patterns to avoid

4/8/2026

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