@@ -182,14 +182,14 @@ The 12 best LangGraph alternatives cover visual workspaces, typed and role-based
 2. **PydanticAI: best for typed Python agent applications**
 3. **CrewAI: best for role-based multi-agent collaboration**
 4. **Microsoft Agent Framework and Semantic Kernel: best for Microsoft-oriented development teams**
-5. **AutoGen: best for maintaining existing conversational multi-agent systems**
-6. **OpenAI Agents SDK: best for compact provider-aware agent applications**
-7. **Google ADK: best for Gemini, Google Cloud, and A2A-oriented applications**
-8. **LlamaIndex: best for agents grounded in private data and retrieval**
-9. **Haystack: best for component-based retrieval and document pipelines**
-10. **Mastra: best for TypeScript agents and graph workflows**
+5. **OpenAI Agents SDK: best for compact provider-aware agent applications**
+6. **Google ADK: best for Gemini, Google Cloud, and A2A-oriented applications**
+7. **LlamaIndex: best for agents grounded in private data and retrieval**
+8. **Haystack: best for component-based retrieval and document pipelines**
+9. **Mastra: best for TypeScript agents and graph workflows**
+10. **Dify: best for visual LLM applications and retrieval experiences**
 11. **n8n: best for combining AI steps with broad business automation**
-12. **Dify: best for visual LLM applications and retrieval experiences**
+12. **AutoGen: best for maintaining existing conversational multi-agent systems**
 
 For buyers specifically leaving LangChain, the leading options represent distinct operating models. This comparison uses first-party license files and product documentation **as of October 2026**: