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Comprehensive automação de múltiplas etapas Tools for Every Need

Get access to automação de múltiplas etapas solutions that address multiple requirements. One-stop resources for streamlined workflows.

automação de múltiplas etapas

  • Julep AI

    Julep AI creates scalable, serverless AI workflows for data science teams.
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    What is Julep AI?
    Julep AI is an open-source platform designed to help data science teams quickly build, iterate on, and deploy multi-step AI workflows. With Julep, you can create scalable, durable, and long-running AI pipelines using agents, tasks, and tools. The platform's YAML-based configuration simplifies complex AI processes and ensures production-ready workflows. It supports rapid prototyping, modular design, and seamless integration with existing systems, making it ideal for handling millions of concurrent users while providing full visibility into AI operations.
    Julep AI Core Features
    • Create agents
    • Add tools to agents
    • Define multi-step tasks
    • Deploy scalable AI workflows
    Julep AI Pro & Cons

    The Cons

    Primarily designed for enterprise and technical users, which may limit accessibility for non-technical users.
    No mobile applications or consumer-facing apps listed, limiting direct end-user engagement outside of enterprise contexts.

    The Pros

    Enables creation and deployment of persistent AI agents with advanced task capabilities.
    Supports modular design with clear tool interfaces and model independence.
    Allows rapid prototyping and production-ready workflows with minimal backend engineering.
    Offers infinite scalability to millions of concurrent users with automatic scaling and fault tolerance.
    Enterprise-grade security, private deployments, and compliance features.
    Full observability with execution traces for debugging and monitoring.
    Julep AI Pricing
    Has free planYES
    Free trial details
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://julep.ai

  • Triagent

    Triagent orchestrates three specialized AI sub-agents—Strategist, Researcher, and Executor—to plan, research, and execute tasks automatically.
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    What is Triagent?
    Triagent provides a tri-agent architecture consisting of Strategist, Researcher, and Executor modules. The Strategist breaks down high-level goals into actionable steps, the Researcher retrieves and synthesizes data from documents, APIs, and web sources, and the Executor performs tasks like generating text, creating files, or invoking HTTP requests. Built on top of OpenAI language models and extensible via a plugin system, Triagent supports memory management, concurrent processing, and external API integrations. Developers can configure prompts, set resource limits, and visualize task progress through a CLI or web dashboard, simplifying multi-step automation pipelines.

  • X AI Agent

    An open-source Python framework to build custom AI agents with LLM-driven reasoning, memory, and tool integrations.
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    What is X AI Agent?
    X AI Agent is a developer-focused framework that simplifies building custom AI agents using large language models. It provides native support for function calling, memory storage, tool and plugin integration, chain-of-thought reasoning, and orchestration of multi-step tasks. Users can define custom actions, connect external APIs, and maintain conversational context across sessions. The framework’s modular design ensures extensibility and allows seamless integration with popular LLM providers, enabling robust automation and decision-making workflows.
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