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Stanford Researchers Release Paper2Agent: Turning Research Papers Into AI Agents That Reproduce Results and Run on New Data

Stanford researchers released Paper2Agent, a Nature-published pipeline that turns research papers into MCP servers agents can execute.

A Stanford team led by Jiacheng Miao and James Zou published Paper2Agent in Nature on 16 September 2026. Built on Claude Code's agent SDK, it converts a paper and its codebase into a Model Context Protocol server with validated tools, resources, and prompts. In benchmarks, the AlphaGenome agent built 22 tools in about 45 minutes for US$14, scored 100% on 15 novel queries versus 78.7% for Claude Code with repository access, and cut median runtime 1.9x. In scale tests, 74 of 100 bioRxiv papers were converted and 593 of 599 proposed tools passed validation.

MarkTechPost · 7h agoAI research1

Memories Mysteriously Survive After Brain Shutdown, And Scientists Don’t Know Why

Science roundup covering medieval European flood reconstruction, frog mate-choice overload, and mouse memory persistence during artificial hibernation.

404 Media's The Abstract column surveys non-cyber research: a Nature study reconstructing 16 major European floods in 1342-1343 including the Magdalena Flood, an iScience study on choice overload in female Cope's gray treefrogs during dense mating choruses, and a Science study on synaptic engram architecture preserving memories in artificially hibernated mice. None of the studies relate to cybersecurity or artificial intelligence.

404 Media · Aug 15, 2026Other