给 GPT-6 Astra 四十个智能体同一坏流程，看谁能修好
作者用 LangGraph、CrewAI 和微软 Agent Framework 搭多智能体实验，让 40 个 Astra 智能体各自修复同一坏流程且不许重复，最终只有两个方案存活。
i gave GPT-6 Astra 40 agents the same broken workflow and told them they weren’t allowed to fix the same problem twice then 73 decisions appeared, 19 conflicts surfaced, and 6 different repair paths survived the first round i wired the experiment through 3 GitHub repos → LangGraph for stateful routing and recovery https://github.com/langchain-ai/langgraph → CrewAI for role based agents and competing worker flows https://github.com/crewAIInc/crewAI → Microsoft Agent Framework for multi agent orchestration https://github.com/microsoft/agent-framework then every fix had to prove it wasn’t just moving the failure somewhere else one repair solved the handoff but broke review another fixed review but doubled context load another looked slower but removed two future failure points by the end, only 2 fixes were still standing the one that won wasn’t the fastest it was the one that created the fewest new problems i used to judge GPT-6 Astra by how quickly it repaired a workflow now i care whether that repair survives the next 10 things trying to break it
这条是引用着另一条写的：x.com/lummox_eth/status/2100288151897981255