Definition
What is Subagent Isolation? — Plain-Language AI Definition
The design principle that subagents in a multi-agent system operate with their own context and do not share memory with the coordinator or other subagents.
What is Subagent Isolation?
Subagent isolation is the principle that each subagent in a multi-agent system operates independently. It has its own context window, its own system prompt, and its own tool set. It does not see the coordinator's full conversation history.
Why It Matters
Isolation provides focus, security, and debuggability. A subagent receives only the information it needs, sensitive data is not leaked across boundaries, and each subagent can be tested independently.
Key Takeaway
Subagent isolation is not a limitation -- it is a feature. It keeps agents focused, secure, and easy to debug.
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