5 October 2026
New method splits AI search agents into separate planning and synthesis roles
First reported
Deep Learning Weekly ran this on .
- IterSynth separates two functions that typically run together: one component plans next steps, another generates responses based on summaries rather than full conversation history.
- The approach reduces context accumulation, meaning agents don't have to remember every previous interaction to stay focused on current tasks.
