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Comprehensive IA orientada a dados Tools for Every Need

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IA orientada a dados

  • MARFT

    MARFT is an open-source multi-agent RL fine-tuning toolkit for collaborative AI workflows and language model optimization.
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    What is MARFT?
    MARFT is a Python-based LLMs, enabling reproducible experiments and rapid prototyping of collaborative AI systems.
    MARFT Core Features
    • Multi-agent orchestration API
    • Reinforcement fine-tuning pipelines
    • Role and memory management
    • Environment simulation toolkit
    • Customizable reward functions
    • Built-in evaluation metrics

  • Tongui Agent

    A lightweight JavaScript framework for building AI agents with memory management and tool integration.
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    What is Tongui Agent?
    Tongui Agent provides a modular architecture for creating AI agents that can maintain conversation state, leverage external tools, and coordinate multiple sub-agents. Developers configure LLM backends, define custom actions, and attach memory modules to store context. The framework includes an SDK, CLI, and middleware hooks for observability, making it easy to integrate into web or Node.js applications. Supported LLMs include OpenAI, Azure OpenAI, and open-source models.

  • DataEnvGym

    A customizable reinforcement learning environment library for benchmarking AI agents on data processing and analytics tasks.
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    What is DataEnvGym?
    DataEnvGym delivers a collection of modular, customizable environments built on the Gym API to facilitate reinforcement learning research in data-driven domains. Researchers and engineers can select from built-in tasks like data cleaning, feature engineering, batch scheduling, and streaming analytics. The framework supports seamless integration with popular RL libraries, standardized benchmarking metrics, and logging tools to track agent performance. Users can extend or combine environments to model complex data pipelines and evaluate algorithms under realistic constraints.
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