Software World: Simulating GitHub with agents
Software World presents a simulated GitHub-like ecosystem where autonomous agent teams explore and optimize a portfolio of Python packages within a collaborative, sandboxed environment. The project demonstrates how multi-agent collaboration can reveal code improvements, performance gains, and ecosystem-level insights through extrinsic evaluation across held-out dependencies.
We analyze text and images across millions of websites using similarity detection to identify large-scale content duplication and reuse.
This signal indicates whether widespread duplication patterns were detected at the time of analysis.
Signals update over time.
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