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éditeur de flux visuel

  • Orra.dev is a no-code platform for building and deploying AI agents that automate support, code review, and data analysis tasks.
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    What is Orra.dev?
    Orra.dev is a comprehensive AI agent creation platform designed to simplify the end-to-end lifecycle of intelligent assistants. By combining a visual workflow builder with seamless integrations to leading LLM providers and enterprise systems, Orra.dev allows teams to prototype conversation logic, refine agent behavior, and launch production-ready bots across multiple channels within minutes. Features include access to pre-built templates for FAQ bots, e-commerce assistants, and code review agents, along with customizable triggers, API connectors, and user role management. With built-in testing suites, collaborative versioning, and performance dashboards, organizations can iterate on agent responses, monitor user interactions, and optimize workflows based on real-time data, accelerating deployment and reducing maintenance overhead.
    Orra.dev Core Features
    • Drag-and-drop workflow editor
    • Multi-model LLM integrations
    • Pre-built agent templates
    • Custom API connectors
    • Real-time analytics dashboard
    Orra.dev Pro & Cons

    The Cons

    Pricing is relatively high with custom infrastructure starting at $1,000+ per month.
    Might require technical expertise to deploy and manage multi-agent systems.
    No mobile app or other platform integrations currently available.

    The Pros

    Provides robust orchestration of AI agents and tools for multi-agent workflows.
    Built to handle non-deterministic failures and adapt dynamically.
    Supports custom deployment and scalable production-grade architectures.
    Open source and actively maintained on GitHub.
  • Swarms is an open-source platform to build, orchestrate, and deploy collaborative multi-agent AI systems with customizable workflows.
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    What is Swarms?
    Swarms operates as a Python-first framework and web-based interface, empowering users to configure individual agents with specific roles, memory management, and custom prompts. Users define agent interactions through a visual flow builder or YAML configuration, orchestrating complex decision trees, debates, and collaborative tasks. The platform supports plugin integration for data querying, knowledge base access, and third-party API calls. Upon deployment, Swarms provides real-time monitoring of agent activities, performance metrics, and logs. It scales horizontally using container orchestration tools, enabling large-scale AI simulations, robotic control architectures, or intelligent workflow automations. The open-source architecture ensures extensibility, community-driven enhancements, and self-hosting options for full data control.
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