Awesome AI Agents › Multi-Agent Frameworks

JuliaDynamics/Agents.jl

⭐ 912 Julia added to this list on 2025-04-19 repository created 2018-11-30

Agents.jl is a pure Julia framework designed for agent-based modeling (ABM), a computational simulation methodology where autonomous agents interact with their environment and other agents based on predefined rules. The framework is recognized for its speed, outperforming other popular ABM platforms such as MASON, NetLogo, and Mesa. It emphasizes simplicity, offering a short learning curve and requiring minimal code to create simulations. Agents.jl provides an extensive interface with thousands of built-in agent actions, enabling users to model complex behaviors easily. It supports simulations on Open Street Maps, allowing for realistic spatial modeling. The framework accommodates both traditional discrete-time ABM simulations and continuous-time event queue-based simulations, providing flexibility for various modeling needs. The project is well-documented, with comprehensive online resources and the option to build documentation locally. It is actively maintained, with continuous integration and quality assurance measures in place. The package is widely used and cited in academic publications, highlighting its relevance and reliability in the scientific community. Overall, Agents.jl is a powerful, efficient, and user-friendly tool for researchers and developers interested in agent-based modeling and simulation.

https://github.com/JuliaDynamics/Agents.jl

abmagent-actionsagent-based-frameworkagent-based-modelingagent-based-simulationagentsautonomous-agentscellular-automatacomplex-systemscomputational-simulationcontinuous-time-simulationdiscrete-time-simulationevent-queuehacktoberfestheterogeneous-agent-modelindividual-based-modellingjuliajulialangminimal-codemodeling-frameworkopen-street-mapsperformancescientific-researchsimulationsimulation-framework

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