// Sheet 1 of 5
AI Chatbot & Agent Framework — Selection Guide
Covers: Copilot Studio • Dialogflow CX • Amazon Lex • LangChain/LangGraph • AutoGen • CrewAI
| Framework | Type | Open-Source? | Best Scenario(s) — Full Description | Primary Use Case | Multi-Agent? | LLM Flexibility | Memory / State | RAG Support | Voice / Telephony | Azure Native? | Deployment | Coding Required? | Learning Curve | Cost Model |
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// Sheet 2 of 5
Decision Matrix
Score each criterion for your project. ✅ = Strong fit ⚠️ = Partial fit ❌ = Poor fit
| Decision Criterion | Copilot Studio |
Dialogflow CX |
Amazon Lex |
LangChain/ LangGraph |
AutoGen v0.4 |
CrewAI |
|---|
// Sheet 3 of 5
Real-World Use-Case Scenarios
Each scenario shows which framework to choose first (Primary), a fallback option (Secondary), and what to avoid.
| Scenario / Use Case | Industry | Primary Framework | Secondary Option | Avoid | Key Reason |
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// Sheet 4 of 5
Quick Reference Card
IF your situation → THEN use this framework. Instant decision guide.
💡 Note: LangChain/LangGraph, AutoGen, and CrewAI are open-source and can run on ANY cloud or on-premise. Low-code platforms (Copilot Studio, Dialogflow CX, Lex) are vendor-managed SaaS with less flexibility but faster time-to-value.
// Sheet 5 of 5
Cross-Framework Cheat Sheet — Same Concept, Different Names
Every major AI chatbot / agent concept mapped across all 6 frameworks.
Amazon Lex
Copilot Studio
Dialogflow CX
LangChain / LangGraph
AutoGen v0.4
CrewAI
| Universal Concept | 🟡 Amazon Lex | 🔵 Copilot Studio | 🟢 Dialogflow CX | 🟣 LangChain / LangGraph | 🔴 AutoGen v0.4 | 🩵 CrewAI |
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