Contract Net Protocol is an open-source Java framework that allows autonomous agents to issue calls for proposals, submit bids, evaluate offers, and assign tasks dynamically. It streamlines distributed task negotiation and allocation through standard messaging patterns, making it ideal for multi-agent simulations and real-world resource scheduling applications.
Promote this Tool
Update this Tool
Contract Net Protocol
Contract Net Protocol is an open-source Java framework that allows autonomous agents to issue calls for proposals, submit bids, evaluate offers, and assign tasks dynamically. It streamlines distributed task negotiation and allocation through standard messaging patterns, making it ideal for multi-agent simulations and real-world resource scheduling applications.
Ads
What is Contract Net Protocol?
The Contract Net Protocol repository provides a full Java implementation of the FIPA Contract Net interaction protocol. Developers can create manager and contractor agents that exchange CFP (Call For Proposal), proposals, acceptances, and rejections over agent communication channels. The code includes core modules for broadcasting tasks, collecting bids, evaluating proposals based on customizable criteria, awarding contracts, and monitoring execution status. It can be integrated into larger multi-agent frameworks or used as a standalone library for research simulations, industrial scheduling, or robotic coordination.
Who will use Contract Net Protocol?
- Multi-agent system researchers
- AI developers
- Academic instructors and students
- Robotics engineers
- Resource scheduling practitioners
How to use the Contract Net Protocol?
- Step1: Clone the repository: git clone https://github.com/Sina-Baharlou/Contract-Net-Protocol.git
- Step2: Import the Java project into your IDE or build with Maven/Gradle
- Step3: Configure agent settings and message channels in config files
- Step4: Implement manager and contractor agent classes extending the framework base
- Step5: Run the simulation or integrate into your application and monitor negotiation logs
Platform
- Linux
- Mac
- Windows
Contract Net Protocol's Core Features & Benefits
The Core Features
- Call For Proposal (CFP) broadcasting
- Bid submission and collection
- Proposal evaluation based on custom criteria
- Dynamic task assignment and contract award
- Agent communication via FIPA ACL messages
The Benefits
- Standardized multi-agent negotiation patterns
- Improved resource utilization through dynamic allocation
- Scalable architecture for large agent populations
- Open-source and extensible codebase
Contract Net Protocol's Main Use Cases & Applications
- Distributed AI research simulations
- Robotic task allocation and coordination
- Industrial resource scheduling
- Academic teaching of agent protocols
- Distributed workflow automation
FAQs of Contract Net Protocol
Contract Net Protocol Company Information
- Sina Baharlou
Contract Net Protocol Reviews
5/5
Contract Net Protocol's Main Competitors and alternatives?
JADE (Java Agent DEvelopment Framework)
SPADE (Smart Python Agent Development Environment)
FIPA-OS (FIPA Open Source Agent Platform)
You may also like:
Run coding agents in a persistent cloud workspace with shared files, previews, team context, and no local setup required.
Diagrid keeps AI agent workflows running through crashes, preserves state, and cryptographically proves every completed execution step.
Run coding agents locally with swappable models, tools, sandboxes, and session logs through a TypeScript plugin runtime.
Loopa is an AI agent platform that automates research, content creation, analysis, and workflow execution.
An autonomous AI agent that executes long tasks across apps, websites, and cloud computers end to end.
Hosted OpenClaw agent: one-click deploy, 500+ models, secure infrastructure, and automated agent management for teams and developers.
Enterprise-ready agent runtime that unifies Discord, web, and terminal with secure RAG, memory, and tool execution.
OpenClaw is an open-source, locally-run personal AI assistant that automates tasks via chat apps and plugins.
Managed Openclaw workspace to deploy local-first AI agents, hire AI staff, and join the Moltbook ecosystem.
CoTester is an enterprise-grade AI testing agent that reliably generates, runs, and self-heals automated tests.
Conversational AI assistant automating research, browser tasks, web scraping, and file management through natural language.
Gobii lets teams create 24/7 autonomous digital workers to automate web research and routine tasks.
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
SJinn is an AI-powered agent creating image, video, audio, and 3D content from descriptions.
Eigent is an open-source AI workforce platform managing complex workflows via multi-agent collaboration.
NVIDIA Omniverse Audio2Face transforms 3D character animations with AI-driven facial and emotional expressions.