Flue 2 applies ideas from React to the scaffolding around AI agents, adding hooks as a way to organize agent behavior and state. Latent Space’s interview with creator Fred Schott presents the project as a harness, not a model.
That distinction matters because many useful agent systems are defined by the code that surrounds the model: tools, memory, retries, state transitions and human handoffs. A harness gives developers a repeatable place to manage those pieces instead of embedding them in one-off scripts.
React-style hooks are familiar to many web developers, so the design could lower the cost of experimenting with agents for teams that already think in components and lifecycle events. The article does not claim that hooks solve agent reliability by themselves.
The practical value will depend on whether the abstraction stays clear as workflows grow. For now, Flue 2 is another sign that agent development is moving from prompt demos toward software frameworks with explicit state and control flow.