LazyAgent: Demand-Driven Materialization and Physical Optimization of Agentic Programs
Quick summary
arXiv:2609.23058v1 Announce Type: new Abstract: Current agent runtimes that plan before acting generally execute a step once it becomes ready. We present LazyAgent, a unified execution framework for agent-authored programs organized around a live, goal-derived demanded set. LazyAgent refreshes a backward closure from requested outputs as execution state changes and materializes a ready node only when the active goal requires it. This replaces repeated local judgments with one linear-time graph analysis followed by constant-time membership tests, allowing programs to remain broad while executio
Key takeaways
- arXiv:2609.23058v1 Announce Type: new Abstract: Current agent runtimes that plan before acting generally execute a step once it becomes ready.
- We present LazyAgent, a unified execution framework for agent-authored programs organized around a live, goal-derived demanded set.
- LazyAgent refreshes a backward closure from requested outputs as execution state changes and materializes a ready node only when the active goal requires it.
Why it matters
The importance of “LazyAgent: Demand-Driven Materialization and Physical Optimization of Agentic Programs” will be measured by what changes in practice. User behavior, access conditions, verifiable performance and responsible-use outcomes are the signals worth following.
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