Gear lets developers configure and build multi-agent systems easily
GEAR: Feature-Based Configuration and Code Generation for Agentic Systems
Multiagent SystemsSoftware Engineering
Summary
Building systems with multiple intelligent agents is tricky because different tools need different coding styles and settings. The authors created Gear, a tool that lets developers pick options for agents in one place and then automatically generates code for various agent frameworks. This tool also checks if the chosen options work well together before creating the code. Gear can produce projects for ten different agent systems from the same setup, helping people try out new ideas quickly. It is open-source and assists both developers and researchers looking into multi-agent designs.
What this means in practice
- •For software developers: Generate working multi-agent system code for multiple frameworks from one configuration to speed up prototyping.
- •For system architects: Compare and evaluate different agent frameworks by generating and inspecting framework-specific adaptations from a common design.
Authors
Brell Sanwouo, Nada Zine, Paul Temple, Clément Quinton, Romain Rouvoy
Abstract
Engineering multi-agent systems (MAS) requires choosing agents, orchestration strategies, communication mechanisms, reasoning approaches, and memory configurations. These choices depend on framework-specific capabilities and abstractions, requiring developers to learn different APIs when exploring alternative implementations. We present GEAR, an open-source tool for configuring MAS and generating framework-specific implementations from a common specification. GEAR uses a feature-based representation to make configuration options and their constraints explicit, enabling users to validate specifications before code generation. Through connectors for ten agentic frameworks, users generate projects from the same specification and can then inspect reports describing framework-specific adaptations. A preliminary assessment of mapping feasibility identifies translation strategies for 271 of 320 evaluated feature-framework pairs (84.69%). GEAR supports developers prototyping agentic systems and researchers exploring MAS configurations across frameworks. GEAR is available as open-source software at https://github.com/brellsanwouo/gear-framework and a video demo is available at https://youtu.be/iwNi-oC2tCw.