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This paper introduces EvoSOP, a framework that enables LLM agents to synthesize atomic actions into reusable Standard Operating Procedures (SOPs) and iteratively optimize their toolset, significantly improving task success rates and reducing interaction rounds.
Deep Agents introduces interpreters: small embedded runtimes that allow agents to write and execute code inside the agent loop, enabling multi-step logic and intermediate state management without full sandbox overhead.