Multi-Agent Programming Framework

A Multi-Agent Programming Framework is a AI agent software framework that enables the development and orchestration of multi-agent systems.

• AKA: Multi-Agent Framework.
• Context:
  • It can (typically) enable agent communication through interaction protocols.
  • It can (typically) support agent collaboration via workflow orchestration.
  • It can (typically) manage agent roles and agent behaviors.
  • It can (typically) provide tool integration for external interactions.
  • ...
  • It can (often) implement memory management for agent state.
  • It can (often) handle error recovery during execution.
  • It can (often) support human oversight via interaction interfaces.
  • It can (often) enable workflow customization through configuration options.
  • ...
  • It can have Architecture Types including centralized networks, decentralized networks, and hierarchical networks.
  • It can provide Development Tools for agent design and deployment.
  • It can implement Security Measures for system protection.
  • It can maintain Performance Metrics for system evaluation.
  • ...
• Examples:
  • Modern Multi-Agent Frameworks, such as:
    • LLM Based Frameworks for language model orchestration:
      • AutoGen Framework for conversation orchestration.
      • CrewAI Framework for role based workflow.
      • LangGraph Framework for graph based execution.
      • MetaGPT Framework for software development simulation.
    • Agent Composition Frameworks for system architecture:
      • Microsoft Semantic Kernel for plugin orchestration.
      • Haystack Framework for pipeline composition.
      • Langchain Framework for chain orchestration.
  • Traditional Multi-Agent Frameworks, such as:
    • FIPA Compliant Frameworks for standardized communication:
      • JADE Framework for java based agents.
      • SPADE Framework for python based agents.
      • ZEUS Framework for enterprise agents.
    • Academic Frameworks for research implementation:
      • INGENIAS Framework for model driven development.
      • AgentSpeak Framework for BDI architecture.
      • SARL Framework for general purpose agents.
  • Generative Social Agent Frameworks, such as:
    • Behavioral Simulation Frameworks for human behavior:
      • Stanford Generative Framework for social interaction.
      • Meta AI Cicero Framework for negotiation behavior.
      • OpenAI Virtual Agent Framework for task completion.
    • Social Network Frameworks for agent community:
      • Cooperative Agent Network for group coordination.
      • Competitive Agent Framework for strategic interaction.
  • Domain Specific Frameworks, such as:
    • Game AI Frameworks for virtual environments:
      • Unity ML Framework for game agents.
      • Unreal AI Framework for simulation agents.
    • Robotics Frameworks for physical agents:
      • ROS Multi-Agent Framework for robot coordination.
      • MOOS Framework for autonomous systems.
  • Industrial Frameworks, such as:
    • Manufacturing Frameworks for production systems:
      • Factory Agent Framework for process automation.
      • Supply Chain Framework for logistics coordination.
    • Service Frameworks for business processes:
      • Customer Service Framework for interaction management.
      • Resource Allocation Framework for task distribution.
  • Research Frameworks, such as:
    • Experimental Frameworks for agent study:
      • Cognitive Architecture Framework for mental processes.
      • Social Learning Framework for behavioral adaptation.
    • Validation Frameworks for system testing:
      • Agent Verification Framework for behavior validation.
      • Performance Benchmark Framework for system evaluation.
  • Generative Social Agent Frameworks, such as:
    • Research Simulation Frameworks for behavioral study:
    • Policy Analysis Frameworks for societal impact:
    • Virtual World Frameworks for environment simulation:
    • Gaming Environment Frameworks for interactive simulation:
    • Training Simulation Frameworks for skill development:
  • ...
• Counter-Examples:
  • Single-Agent Frameworks, which lack multi-agent coordination.
  • Monolithic Frameworks, which do not support agent distribution.
  • Static Frameworks, which cannot handle dynamic interactions.
• See: Software Framework, Multi-Agent System, Agent Architecture, Distributed System, Collaborative AI, System Orchestration.

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