A Fudan University professor has open-sourced a new AI agent, written in just 3,300 lines of Python, designed to perform 18 different PC tasks. The author tested this agent against Anthropic's Claude Code and another system called OpenClaw, finding that the new agent significantly outperformed Claude Code. This development highlights the potential for efficient and compact AI agents to achieve high performance on complex tasks. AI
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
IMPACT Demonstrates that highly capable AI agents can be developed with relatively small codebases, potentially lowering barriers to entry for AI development.
RANK_REASON The cluster describes the release and testing of a new AI agent, which is a research artifact. [lever_c_demoted from research: ic=1 ai=1.0]
