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Comprehensive estrutura de desenvolvimento de IA Tools for Every Need

Get access to estrutura de desenvolvimento de IA solutions that address multiple requirements. One-stop resources for streamlined workflows.

estrutura de desenvolvimento de IA

  • 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.
    Tongui Agent Core Features
    • Stateful conversation memory
    • Custom tool and action integration
    • Multi-agent orchestration
    • Plugin and middleware support
    • SDK and CLI interfaces
    • Observability and logging hooks
    • Support for major LLM backends
    Tongui Agent Pro & Cons

    The Cons

    Slightly worse performance compared to some models using 40 times more training data.
    No direct information on pricing or commercial deployment models beyond base website.
    Limited information about user interface or ease of integration into existing systems.

    The Pros

    Extensive multimodal dataset (143K trajectories) across multiple OS platforms and applications.
    Significant improvement in grounding and navigation tasks for GUI agents.
    Reduces need for costly manual annotations by leveraging online tutorials.
    Open-source availability of code, dataset, and trained models.
    Supports cross-platform and diverse GUI interactions.

  • TypeAI Core

    TypeAI Core orchestrates language-model agents, handling prompt management, memory storage, tool executions, and multi-turn conversations.
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    What is TypeAI Core?
    TypeAI Core delivers a comprehensive framework for creating AI-driven agents that leverage large language models. It includes prompt template utilities, conversational memory backed by vector stores, seamless integration of external tools (APIs, databases, code runners), and support for nested or collaborative agents. Developers can define custom functions, manage session states, and orchestrate workflows through an intuitive TypeScript API. By abstracting complex LLM interactions, TypeAI Core accelerates the development of context-aware, multi-turn conversational AI with minimal boilerplate.
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