Yesterday, a friend sent me a WeChat message late at night: “Brother, I’m about to collapse. I’ve been using LangGraph for three months, and the performance is completely inadequate. Users are constantly complaining, and my boss is pushing me every day. I’m afraid that switching frameworks will waste the initial investment. What should I do?” … Read more
Core Issues: Limitations of Existing Methods: Current large language model (LLM) agent frameworks and inference-time algorithms often struggle with complex planning problems. Main Reasons: Insufficient Validation: Many methods find it difficult to effectively validate whether the generated plans meet all constraints or only perform coarse validation at the task level. Poor Complexity Adaptability: Existing methods … Read more
Following the global success of DeepSeek, the deep reasoning and general agent frameworks represented by OpenAI Deep Research and Manus have once again ignited the tech circle, showcasing astonishing intelligent reasoning and execution capabilities. However, in critical enterprise-level scenarios, the limitations of such general architectures are becoming increasingly apparent: insufficient internal information integration within enterprises … Read more