This paper shows that letting an AI search many places at the same time (in parallel) can beat making it think in long, slow chains.
This paper teaches small, local AI models to write deep, insightful research reports by letting writing and planning work together instead of staying separate.
FS-Researcher is a two-agent system that lets AI do very long research by saving everything in a computer folder so it never runs out of memory.