When agents build agents

The text explores the concept of a loop of agents in the context of Pydantic AI Harness, emphasizing its capabilities in comparison to a single harnessed run. A loop of agents is described as being able to choose its own structure and outlive a single run, allowing for more dynamic and resilient operations. The loop delegates tasks to sub-agents, allowing for independent execution and failure isolation, and coordinates these tasks through dynamic workflows using Pydantic Monty. Additionally, the loop can extend its capabilities by authoring new tools during runtime, although these new tools only become active in subsequent runs to maintain stability and efficiency. The loop's persistence over time allows it to resume from interruptions and improve through branching and evaluation, ultimately aiming for self-enhancement, with potential future developments involving loops that can refine their own processes using tools like Pydantic Logfire.

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