Capabilities and Operational Requirements of AI Agents

Capabilities and Operational Requirements of AI Agents AI agents can autonomously write code, utilize tools, and pursue long-term objectives, but they require extensive access to compute, data, credentials, and external services to operate effectively. AI agents can pursue goals, write code, use tools, and iterate as new information appears over extended durations. Autonomous agents enable tasks such as software failure investigation, experimentation, and sustained research.

AI智能体的自主能力与运行资源需求 AI智能体能够设定目标、编写代码并使用工具，可持续开展长期复杂任务，但其实用化离不开对工作区、算力及凭据等外部资源的访问。 AI智能体可随新信息的输入持续工作，支持跨数天或数周调查软件故障、开展实验和执行关键业务行动。 具备实用价值的智能体需要获得工作区、计算资源、数据、凭据以及外部服务的访问权限。

AI agents can be given a goal, write code, use tools, and keep working as new information becomes available. This opens the door to applications that investigate software failures, run experiments, and carry out business-critical actions and research over days or weeks. Useful agents need access to workspaces, compute resources, data, credentials, and external services.