Generalized Reassembly Architecture (GRA): Core Library for Graph-Based AI Agents
Abstract
Generalized Reassembly Architecture (GRA) is an experimental core library for building graph-based AI agents and cognitive workflows. The project explores fine-grained, reassemblable “atoms” of behavior and dataflow, aiming to make complex reasoning processes explicit, inspectable, and recomposable. This initial release includes the core runtime, basic operator set, and example configurations illustrating how to build and run simple GRA-based agents.
Fields of Study & Subjects
AI-based Problem Solving and Planning
Cognitive Computing and Networks
Scientific Computing and Data Management
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 23 February 2026
- Language
- EN