JADE (Java Agent DEvelopment Framework) is an open-source middleware for building multi-agent systems. It implements FIPA specifications, offering agent life-cycle management, asynchronous messaging, directory services, and mobility support. Developers can create autonomous agents in Java, integrate with external systems, and deploy distributed applications across networks.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#multi-agent systems
#agent framework
#Java agent development
#FIPA compliance
#distributed systems
#agent mobility
#agent management
#message transport
#IoT coordination
#debugging tools
#scalable architecture
#modular design
#research community support
#simulations
#enterprise automation
#behavior scheduling
#graphical monitoring tools
#container deployment
#agent discovery
#runtime environment
...
Promote this Tool
Update this Tool
JADE
JADE (Java Agent DEvelopment Framework) is an open-source middleware for building multi-agent systems. It implements FIPA specifications, offering agent life-cycle management, asynchronous messaging, directory services, and mobility support. Developers can create autonomous agents in Java, integrate with external systems, and deploy distributed applications across networks.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#multi-agent systems
#agent framework
#Java agent development
#FIPA compliance
#distributed systems
#agent mobility
#agent management
#message transport
#IoT coordination
#debugging tools
#scalable architecture
#modular design
#research community support
#simulations
#enterprise automation
#behavior scheduling
#graphical monitoring tools
#container deployment
#agent discovery
#runtime environment
...
Featured
What is JADE?
JADE is a Java-based agent development framework that simplifies the creation of distributed multi-agent systems. It provides FIPA-compliant infrastructure including a runtime environment, message transport, directory facilitator, and agent management. Developers write agent classes in Java, deploy them in containers, and use graphical tools like RMA and Sniffer for debugging and monitoring. JADE supports agent mobility, behavior scheduling, and lifecycle operations, enabling scalable and modular designs for research, IoT coordination, simulations, and enterprise automation.
Who will use JADE?
- AI researchers and academicians
- Java software developers
- Enterprise architects building distributed systems
- IoT solution engineers
- Students learning multi-agent systems
How to use the JADE?
- Step1: Install Java JDK (version 8 or above).
- Step2: Download JADE distribution or clone the GitHub repository.
- Step3: Add jade.jar to your Java project’s classpath.
- Step4: Create agent classes by extending jade.core.Agent and override setup().
- Step5: Configure runtime arguments for main container (host, port).
- Step6: Launch the MainContainer using jade.Boot with container name.
- Step7: Start additional AgentContainers for distributed deployment.
- Step8: Use RMA and Sniffer tools for agent monitoring and message inspection.
- Step9: Implement agent behaviors via jade.core.behaviours.
- Step10: Package and deploy your application across networked hosts.
Platform
- mac
- windows
- linux
JADE's Core Features & Benefits
The Core Features
- FIPA-compliant agent messaging
- Agent lifecycle and behavior management
- Directory Facilitator for agent discovery
- Agent mobility across containers
- Graphical tools: RMA, Sniffer, Introspector
- Modular container-based runtime
- Asynchronous ACL messaging
The Benefits
- Simplifies multi-agent system development
- Standards-compliant for interoperability
- Scalable distributed architecture
- Extensible and modular framework
- Integrated debugging and monitoring tools
- Wide research and community support
JADE's Main Use Cases & Applications
- Distributed simulation and modeling
- IoT device coordination and management
- Automated negotiations in e-commerce
- Smart grid and energy management
- Academic research in agent-based systems
FAQs of JADE
JADE Company Information
- EnFlexIT
JADE Reviews
5/5
JADE's Main Competitors and alternatives?
- ZEUS
- SPADE
- Jason
- JACK
- MadKit
You may also like:
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
AI-driven chatbot for top OnlyFans creators.
Aixbt is a tokenized AI Agent optimizing revenue across applications.
theGist AI Workspace unifies work apps with AI for improved productivity.
Generate brand visuals and copy using AI to boost e-commerce sales.
GPTConsole is an AI agent designed for streamlined conversation and task automation.
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
Nullify automates the entire AppSec program for security teams using AI-driven solutions.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Langbase is an AI agent that generates and analyzes natural language content efficiently.
AiTerm: AI Terminal Assistant converting natural language to commands.
Generate intriguing facts effortlessly with our AI-powered tool.
Automate your job applications and find the perfect job with AI technology.
Intellika AI enables seamless automation of data analysis and reporting for businesses.
ScholarRoll helps students find and apply for scholarships easily.
OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Letta is an AI agent that handles email responses efficiently and accurately.
Windsurf AI Agent helps optimize windsurfing conditions and gear recommendations.
Cody AI helps developers write, review, and understand code efficiently.
A solution for building customizable AI agents with LangChain on AWS Bedrock, leveraging foundation models and custom tools.
scenario-go is a Go SDK for defining complex LLM-driven conversational workflows, managing prompts, context, and multi-step AI tasks.
A ROS-based framework for multi-robot collaboration enabling autonomous task allocation, planning, and coordinated mission execution in teams.
An open-source visual IDE enabling AI engineers to build, test, and deploy agentic workflows 10x faster.
LangGraph Learn offers an interactive GUI to design and execute graph-based AI agent workflows, visualizing language model chains.
AIDE provides AI-powered code generation, debugging, documentation and package management within an integrated web IDE.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
A methodology offering twelve best practices to design, configure, and deploy scalable, maintainable AI Agents.
A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.
SARL is an agent-oriented programming language and runtime providing event-driven behaviors and environment simulation for multi-agent systems.
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
Provides a FastAPI backend for visual graph-based orchestration and execution of language model workflows in LangGraph GUI.
CodeBeaver is an AI agent that assists in coding and debugging tasks efficiently.
AveHR is an AI-driven human resources agent for streamlining HR tasks.
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
An autonomous AI agent that writes, tests, and refactors code projects using LLMs with iterative test-driven development.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
LeanAgent is an open-source AI agent framework for building autonomous agents with LLM-driven planning, tool usage, and memory management.
Autogpt is a Rust library for building autonomous AI agents that interact with the OpenAI API to complete multi-step tasks
Angular is a web development framework for building modern, scalable applications.
Skywork AI is an innovative tool to enhance productivity using AI.
Project Mariner is an AI agent designed for efficient data extraction and analysis.
Microsoft Copilot enhances productivity by automating tasks across various applications.
Glean is an AI assistant platform for enterprise search and knowledge discovery.
Twilio AI Assistants enable automated customer interactions via voice and text messaging.
AI-driven customer service platform offering efficient communication solutions.
A framework that dynamically routes requests across multiple LLMs and uses GraphQL to handle composite prompts efficiently.
CACA Agent automates content generation and knowledge acquisition processes.
AI-driven platform for creating and deploying enterprise-grade AI systems and agents.
Qoder is an agentic coding platform for real software, Free to use the best model in preview.