TopoPlanner: topology-consistent task planning for LLM-based agents
The paper (arXiv:2610.07004v1) introduces TopoPlanner, a planning framework that lifts tool dependency graphs into cellular workflow complexes and uses cosheaf-consistent cellular retrieval plus multidimensional structural reasoning as topology-aware context for LLM tool-sequence generation. Experiments on four tool-planning benchmarks report consistent improvements over prompt-based and graph-enhanced baselines across different local LLM backbones for workflows with loops, merges, and reusable intermediate states.