GOD让多智能体系统运行可实时监控与干预，提升可解释性。
GOD: Govern, Observe, and Direct - A Real-Time Control Room for Agent Societies
- 通过命令与回放数据共享模型，实现操作与状态同步。
- 14次干预中84个目标检查有78次成功记录目的地，182个状态回答匹配率超90%。
- 适合研究者调试、复现或分享智能体系统实验场景。
生成式智能体系统启动容易但难以观测：一次运行可能包含多个智能体、位置、消息、指令和模型调用，而操作员通常只能获得完整回放或原始日志，难以追问智能体行为原因、测试微小干预或打包分享实验。GOD 是一个本地优先的智能体社会控制室，操作员可通过同一浏览器工作流提出针对性问题或干预，并即时查看回放状态。系统整合了设置向导、Agent Studio、Map Studio、空间回放界面、Ask 和 Intervene 命令，以及可移植的实验、地图和智能体包。其核心技术贡献是命令与成果循环机制：实时控制与回放证据共用同一操作命令模型，而包合约则将场景、地图和配置数据与本地运行状态分离。公开版本包含托管的 Smallville 风格和 PKU 回放、开源仓库及可下载包。我们在15个已完成的运行槽位上评估该路径，14次干预运行中，84个目标智能体检查有78次正确记录目的地，182个状态回答中有169次与保存的位置或动作字符串匹配。
原文摘要 · Abstract (English)
Generative-agent systems are easier to start than to inspect. A run can contain many agents, locations, messages, commands, and model calls, yet the operator often gets either a finished replay or raw logs. That makes it hard to ask why an agent moved, test a small intervention, or package a run for another researcher. GOD is a local-first control room for agent societies. From the same browser workflow, an operator can issue targeted questions or interventions and inspect the resulting replay state. The system combines a setup wizard, Agent Studio, Map Studio, a spatial replay interface, Ask and Intervene commands, and portable experiment, map, and agent packs. Its technical contribution is the command and artifact loop: live controls and replay evidence share the same operator command model, while package contracts separate scenario, map, and profile data from local runtime state. The public release includes hosted Smallville-style and PKU replays, the open-source repository, and downloadable packs. We evaluate this path on 15 completed run slots. Across the 14 intervention runs, 78 of 84 target-agent checks recorded the commanded destination, and 169 of 182 state answers matched a saved location or action string.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。