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IA pour la prise de décision

  • Create custom AI agents tailored for specific tasks and workflows.
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    What is Customised Unlimited AI Agents FOR FREE?
    Innoviary is a platform that facilitates the creation of custom AI agents suited to specific tasks and workflows. This tool enables users to design, customize, and deploy AI agents that adapt to particular needs, ensuring optimized performance and enhanced productivity. Innoviary's AI agents are capable of executing a wide range of functions, from simple repetitive tasks to complex decision-making processes. Its user-friendly interface and advanced customization options make it accessible to both beginners and experienced users.
    Customised Unlimited AI Agents FOR FREE Core Features
    • Customizable AI agents
    • User-friendly interface
    • Task automation
    • Advanced customization options
  • A meta agent framework coordinating multiple specialized AI agents to collaboratively solve complex tasks across domains.
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    What is Meta-Agent-with-More-Agents?
    Meta-Agent-with-More-Agents is an extensible open-source framework that implements a meta agent architecture allowing multiple specialized sub-agents to collaborate on complex tasks. It leverages LangChain for agent orchestration and OpenAI APIs for natural language processing. Developers can define custom agents for tasks like data extraction, sentiment analysis, decision-making, or content generation. The meta agent coordinates task decomposition, dispatches objectives to appropriate agents, gathers their outputs, and iteratively refines results via feedback loops. Its modular design supports parallel processing, logging, and error handling. Ideal for automating multi-step workflows, research pipelines, and dynamic decision support systems, it simplifies building robust distributed AI systems by abstracting inter-agent communication and lifecycle management.
  • 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.
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