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automatización de recuperación de datos

  • Labs is an AI orchestration framework enabling developers to define and run autonomous LLM agents via a simple DSL.
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    What is Labs?
    Labs is an open-source, embeddable domain-specific language designed for defining and executing AI agents using large language models. It provides constructs to declare prompts, manage context, conditionally branch, and integrate external tools (e.g., databases, APIs). With Labs, developers describe agent workflows as code, orchestrating multi-step tasks like data retrieval, analysis, and generation. The framework compiles DSL scripts into executable pipelines that can be run locally or in production. Labs supports interactive REPL, command-line tooling, and integrates with standard LLM providers. Its modular architecture allows easy extension with custom functions and utilities, promoting rapid prototyping and maintainable agent development. The lightweight runtime ensures low overhead and seamless embedding in existing applications.
    Labs Core Features
    • DSL syntax for agent definition
    • Prompt and context management
    • Conditional branching and loops
    • External tool/API integration
    • Interactive REPL and CLI tooling
    • Support for multiple LLM providers
    • Modular extension with custom functions
  • A no-code AI agent platform for building, training, and deploying task-oriented chatbots with API integrations.
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    What is Agentube AI Agent?
    Agentube AI Agent is a web-based platform that empowers businesses and developers to create AI-driven agents without code. It offers drag-and-drop conversation flows, memory management, analytics dashboards, and seamless API integrations. Agents can handle customer support, lead qualification, scheduling, and data retrieval tasks. Built on Vercel, it supports real-time updates, collaborative editing, and one-click deployments to web widgets, Telegram, WhatsApp, or custom endpoints.
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