Unverified50% confidenceFactExact time
An Agent is essentially an LLM plus a toolset, operating the sandbox through tool calls.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
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Related Claims
UnverifiedIf Agent tools take the automated execution route, they need to solve engineering challenges such as permission management, sandbox security, and task interruptibility.75% similarUnverified科研自动化 Agent 通常基于 LLM 的工具调用与任务规划能力，结合代码执行沙箱、文件系统访问、学术检索及 GitHub/Hugging Face API 等外部工具，形成感知-规划-执行-反馈的闭环74% similarUnverifiedIn LangChain's hosted Deep Agents, the model, prompts, tools, and sub-agents are determined by the developer, while persistence, memory, skill loading, code execution sandboxing, and deployment are handled by the platform.73% similarUnverifiedDeep Agent also has a built-in sandbox mechanism.72% similarUnverifiedEvery AI Agent will need a sandbox, and the execution framework (harness) should run outside the sandbox.72% similar
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