Context Isolation
Context isolation is a system design principle that uses boundary partitioning to ensure different execution units—such as processes, threads, modules, or agents—each maintain an independent runtime context without interfering with one another. Its core objective is to prevent the state, variables, or intermediate data of one unit from inadvertently affecting other units, thereby ensuring the predictability and security of system behavior. It is widely applied in operating systems, sandbox environments, and multi-agent frameworks.
Timeline (last 90 days)
By having an independent context space, a sub-agent receives only the task description and necessary data explicitly passed by the parent, thereby avoiding exhaustion of the main agent's context window and interference from irrelevant information with reasoning.
CausalCoT uses context isolation to cut off attention pathways to content of non-parent nodes, making downstream predictions sensitive to local reasoning rather than relying on global information leakage.
Sub-agents usually run in independent context windows, and the parent agent's conversation history is not automatically visible to the sub-agent.
Space's privacy model decouples the collaboration surface from private context: pages are the shared layer of facts, and conversations are the private layer of process.
Context isolation keeps information from different tasks separated to avoid information pollution; for example, an Agent writing code only sees code and not test information.
All Facts (6)
SubAgent（子智能体）方案的核心目的是实现上下文隔离，防止对话被工具调用产生的中间信息污染
95%UnverifiedBy having an independent context space, a sub-agent receives only the task description and necessary data explicitly passed by the parent, thereby avoiding exhaustion of the main agent's context window and interference from irrelevant information with reasoning.
50%UnverifiedCausalCoT uses context isolation to cut off attention pathways to content of non-parent nodes, making downstream predictions sensitive to local reasoning rather than relying on global information leakage.
50%UnverifiedSub-agents usually run in independent context windows, and the parent agent's conversation history is not automatically visible to the sub-agent.
50%UnverifiedSpace's privacy model decouples the collaboration surface from private context: pages are the shared layer of facts, and conversations are the private layer of process.
50%UnverifiedContext isolation keeps information from different tasks separated to avoid information pollution; for example, an Agent writing code only sees code and not test information.
50%