Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Create free account
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
MATSim is a framework for building multi-agent transport simulations.
MATSim has moved to GitHub: https://github.com/matsim-org/matsim
Source code and newer releases are now hosted at GitHub!
JASA allows researchers in agent-based computational economics to write high-performance trading simulations using a number of different auction protocols. The software also provides base classes for implementing simple adaptive trading agents.
The Project moved to github https://github.com/EnFlexIT/AgentWorkbench
The project has moved to github https://github.com/EnFlexIT/AgentWorkbench
Agent.GUI is a simulation framework and toolkit based on the JADE framework. It provides functionalities for time aspects, agent-environment interaction, visualization and load balancing, Furthermore, the included application focuses the usability for end users.
Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.
Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
Agent-based framework for Artificial Life and Complex Systems
BitBang is an agent-based simulation framework, best suited for complex systems or artificial life research. It is developed with ease of integration in mind, allowing the interplay with existing 3D and physics engines.
Software agents and human actors combine their decision making skills to arrive at efficient solutions to real-life planning and scheduling problems, especially in domains where unexpected incidents require changes to existing plans.
The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
Access competitive interest rates on your digital assets.
Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform.
Geographic restrictions, eligibility, and terms apply.
A demonstration of the result of using an agent based approach in software. Shows a swarm of icons representing agents that follow user selected rules.
Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.
QASE is a Java-based API designed to provide all the functionality needed to create game agents in Quake 2. Powerful enough to facilitate high-end research, it is also suitable for undergrad courses geared towards classic AI and agent-based systems.
ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
RegMAS (Regional Multi Agent Simulator) is a spatially explicit multi-agent model framework, developed in C++ language and designed for long-term simulations of effects of government policies over agricultural systems (farm sizes, incomes, land use..).
LabLOVE (Life On a Virtual Environment) is an evolutionary multi-agent simulation environment. It is fast, modular and extensible. Contains the reference implementation for the gridbrain algorithm.
Agent-based Grid simulator built on top of Repast simulation engine. Allows for a quick and easy development and analysis of agent-based coordination mechanisms for the Grid
Agent based model of organizations considering the interplay between the formal hierarchical structure and the process network emerging while the organization performs a task-set.
ABSim is an Agent-Object-Relationship (AOR) simulation system based on a Java program library. The development of ABSim has terminated. Its successor is <a href="http://oxygen.informatik.tu-cottbus.de/aor/?q=node/2">AOR-JSim </a>
This is a framework to develop Contexts and Agents and a Container to run them. The Container lets each Agent interact with the Context and other Agents. The agents are deployed in jar files and each one runs in an exclusive sandbox.