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1# Multi-agents1# Multi-agents
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3Use experimental multi-agent collaboration in Codex CLI
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5Codex can run multi-agent workflows by spawning specialized agents in parallel and then collecting their results in one response. This can be particularly helpful for complex tasks that are highly parallel, such as codebase exploration or implementing a multi-step feature plan.3Codex can run multi-agent workflows by spawning specialized agents in parallel and then collecting their results in one response. This can be particularly helpful for complex tasks that are highly parallel, such as codebase exploration or implementing a multi-step feature plan.
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7With multi-agent workflows you can also define your own set of agents with different model configurations and instructions depending on the agent.5With multi-agent workflows you can also define your own set of agents with different model configurations and instructions depending on the agent.
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7For the concepts and tradeoffs behind multi-agent workflows (including context pollution/context rot and model-selection guidance), see [Multi-agents concepts](https://developers.openai.com/codex/concepts/multi-agents).
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9## Enable multi-agent9## Enable multi-agent
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11Multi-agent workflows are currently experimental and need to be explicitly enabled.11Multi-agent workflows are currently experimental and need to be explicitly enabled.