Agents are monads (but not that kind)

An AI agent is its state. Strip away that state and you don’t have a lesser version of your agent; you have only the base model it was running on. This hyle of your weights is much different from the pneuma of your agent. Okay, from a functional programming / category theory perspective, saying “an agent is a monad” is a category error. Category theory monads are type constructors for computations that satisfy the monad laws that let you raise a value into a monadic computation and associatively sequence other monadic computations/transformations against values raised into that monad. This makes a monad a chainable computation instead of a pure value, an IO String is not a String, it’s a computation in the IO monad involving a String. It’s fair to say that you can model an agent as a series of computations bound to a stateful monad. This lets you do the iterative buildup of the message state that the agent pattern is known for. But a state monad is blind to the state value: it threads…