Anthropic 发布长时运行智能体有效控制框架
Effective harnesses for long-running agents Nov 26, 2025
做智能体部署的团队终于有了可落地的控制方案——Anthropic 的 harness 模式解决了长任务中监控和恢复的痛点，建议直接参考其设计思路。
Anthropic 发布了一篇关于长时运行智能体（long-running agents）控制框架的技术文章。
文章指出，随着 AI 智能体执行任务的时间延长，如何有效监控、干预和恢复其行为成为关键挑战。Anthropic 提出了一套名为“harness”的设计模式，包括状态检查点、人类反馈循环、错误恢复机制等，旨在让开发者能够安全地部署长时间自主运行的智能体。
这些模式已在内部测试中显著提升了任务完成率和系统可靠性。
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include 智能体, Anthropic, 控制框架, 长时运行.
Primary source verification: published directly by Anthropic: Engineering with first-party authority. Cross-source corroboration: 4 independent sources have covered this development (including arXiv: Anthropic, The Rundown AI, Vercel AI), confirming industry-wide signal strength.
