icon
AI Tools AI Agents MCP Ranking Submit & Advertise
Login

Comprehensive данные-ориентированный AI Tools for Every Need

Get access to данные-ориентированный AI solutions that address multiple requirements. One-stop resources for streamlined workflows.

данные-ориентированный AI

  • Tongui Agent

    A lightweight JavaScript framework for building AI agents with memory management and tool integration.
    0
    0
    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.
Featured