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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -116,7 +116,11 @@ The Dapr Agentic Cloud Ascent (DACA) guide introduces a strategic design pattern

| **Framework** | **Abstraction Level** | **Key Characteristics** | **Learning Curve** | **Control Level** | **Simplicity** |
|-----------------------|-----------------------|-----------------------------------------------------------------------------------------|--------------------|-------------------|----------------|
<<<<<<< Updated upstream
| **OpenAI Agents SDK** | Minimal | Python-first, core primitives (Agents, Handoffs, Guardrails), direct control | Low | High | High |
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| **OpenAI Agents SDK** | Minimal | Python-first, core primitives (Agents, Handoffs, Guardrails,Sessions ), direct control | Low | High | High |
>>>>>>> Stashed changes
| **CrewAI** | Moderate | Role-based agents, crews, tasks, focus on collaboration | Low-Medium | Medium | Medium |
| **AutoGen** | High | Conversational agents, flexible conversation patterns, human-in-the-loop support | Medium | Medium | Medium |
| **Google ADK** | Moderate | Multi-agent hierarchies, Google Cloud integration (Gemini, Vertex AI), rich tool ecosystem, bidirectional streaming | Medium | Medium-High | Medium |
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