Agency Agents is a framework focused on orchestrating multiple AI agents that collaborate to complete complex tasks through structured coordination. It is designed around the idea of “agency,” where each agent has a defined role, responsibility, and interaction pattern within a larger system. The framework enables developers to define workflows where agents communicate, delegate tasks, and share context, creating a distributed problem-solving environment. It supports modular design, allowing agents to be composed into reusable systems that can be adapted across different use cases. The project emphasizes clarity in agent responsibilities, which helps reduce ambiguity and improve reliability in multi-agent workflows. It also provides mechanisms for managing interactions, ensuring that communication between agents remains structured and predictable. Overall, agency-agents serves as a foundation for building collaborative AI systems that operate through coordinated agent behavior.

Features

  • Multi-agent orchestration framework
  • Role-based agent design and interaction
  • Structured communication between agents
  • Modular and reusable workflow composition
  • Task delegation across agents
  • Scalable architecture for complex systems

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Project Activity

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Categories

AI Agents

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Registered

2026-04-22