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  • A Python-based framework orchestrating dynamic AI agent interactions with customizable roles, message passing, and task coordination.
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    What is Multi-Agent-AI-Dynamic-Interaction?
    Multi-Agent-AI-Dynamic-Interaction offers a flexible environment to design, configure, and run systems composed of multiple autonomous AI agents. Each agent can be assigned specific roles, objectives, and communication protocols. The framework manages message passing, conversation context, and sequential or parallel interactions. It supports integration with OpenAI GPT, other LLM APIs, and custom modules. Users define scenarios via YAML or Python scripts, specifying agent details, workflow steps, and stopping criteria. The system logs all interactions for debugging and analysis, allowing fine-grained control over agent behaviors for experiments in collaboration, negotiation, decision-making, and complex problem-solving.
    Multi-Agent-AI-Dynamic-Interaction Core Features
    • Dynamic agent orchestration
    • Customizable role and objective definitions
    • Message passing and context management
    • Support for multiple LLM integrations (e.g., OpenAI GPT)
    • Configurable workflows via YAML or Python
  • PM.bot: AI-powered project management assistant.
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    What is pm.bot?
    PM.bot is an advanced AI assistant facilitating project management by automating routine tasks such as creating tickets and assigning tasks. It integrates seamlessly with tools like Slack, proactively engaging with team members to ensure timely updates and progress tracking. PM.bot also offers robust customization options, making it adaptable to various project management methodologies and workflows. With PM.bot, teams can save time, reduce manual errors, and focus on strategic activities.
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