Exploring Recursion Depth and Persistent Context in AI Agents
inductionheads · x · 2026-08-06
A developer shared insights on configuring recursion depth in AI agent workflows. While depth=1 is a sane default for many models and tasks, properly leveraging deeper recursion likely requires targeted training.
Currently running at depth=2 for eval workflows, he emphasizes that the core value of Persistent Tool Context (PTC) goes beyond mere depth. It focuses on treating everything as a persistent session variable, enabling Agent-to-Agent (A2A) communications, and continually refining skills and memory. The depth=1 + A2A architecture is essentially as expressive as full depth but more ergonomic for today's models, targeting researchers and very-long-horizon coding projects.
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