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Preprint Aug 2026

AgentExecutor: Partial Code Execution via Agentic Context Generation

This paper proposes AgentExecutor, a novel multi-agent framework for partial code execution that is Supported by the power of LLM agents who can think, act, and get feedback iteratively, and is able to autonomously explore a richer action space, enabling diverse operations such as creating resource files and resolving environment configuration.

Junkai Chen, Chengran Yang, Xing Hu et al. · 0 citations