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агенты по ролям

  • An open-source framework enabling creation and orchestration of multiple AI agents that collaborate on complex tasks via JSON messaging.
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    What is Multi AI Agent Systems?
    This framework allows users to design, configure, and deploy multiple AI agents that communicate via JSON messages through a central orchestrator. Each agent can have distinct roles, prompts, and memory modules, and you can plug in any LLM provider by implementing a provider interface. The system supports persistent conversation history, dynamic routing, and modular extensions. Ideal for simulating debates, automating customer support flows, or coordinating multi-step document generation, it runs on Python, with Docker support for containerized deployments.
    Multi AI Agent Systems Core Features
    • Multi-agent orchestration with central message bus
    • Role-based agent definitions and behaviors
    • Configurable communication protocols (JSON schemas)
    • Plugin support for custom LLM providers
    • Persistent conversation memory modules
    • Dockerfile for containerized deployments
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