待验证50% 置信观点精确时间
DeepSeek's core logic formula is described as: Model + Harness = Real Agent, where the model determines the capability ceiling and Harness guards the deployment floor.
1
来源数
50%
置信度
中期 (~90 天)
时效性
2026/7/2
首次发现
有效期至：2026/9/30
来源
DeepSeek Forms Harness Team: AI Coding Competition Enters the Second Half
bilibili码农小蟹2026/6/18
相关事实
待验证DeepAgent的底层基于LangGraph构建，代表将任务规划完全交给大模型自主完成的范式73% 相似待验证DeepSeek++的Skill系统支持配置模型选择、手动/自动模式、是否联网、深度思考模式等参数72% 相似待验证DeepAgents 是 Harness 架构的实现，且基于 LangGraph 实现70% 相似已验证DeepAgent官网将自身定位为'an agent harness'（基于驾驭工程的智能体框架）70% 相似待验证Thinking Level in DeepSeek models is a capability that allows callers to control how much reasoning the model performs before generating a response, representing a practical application of Test-Time Compute Scaling.70% 相似
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