How to Use RLMs in Deep Agents
Deep Agents introduces dynamic subagents powered by a lightweight code interpreter, enabling programmatic orchestration of subagents to handle large inputs and combat context rot. RLMs recursively call themselves to process large contexts, outperforming traditional agents in tasks requiring extensive input examination. The architecture allows for flexible model combinations and efficient task handling, with RLMs providing deterministic coverage and bespoke orchestration.
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