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シーケンスオーケストレーション

  • Visual no-code platform to orchestrate multi-step AI agent workflows with LLMs, API integrations, conditional logic, and easy deployment.
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    What is FlowOps?
    FlowOps delivers a visual, no-code environment where users define AI agents as sequential workflows. Through its intuitive drag-and-drop builder, you can assemble modules for LLM interactions, vector store lookups, external API calls, and custom code execution. Advanced features include conditional branching, looping constructs, and error handling to build robust pipelines. It integrates with popular LLM providers (OpenAI, Anthropic), databases (Pinecone, Weaviate), and REST services. Once designed, workflows can be deployed instantly as scalable APIs with built-in monitoring, logging, and version control. Collaboration tools allow teams to share and iterate on agent designs. FlowOps is ideal for creating chatbots, automated document extractors, data analysis workflows, and end-to-end AI-driven business processes without writing a single line of infrastructure code.
    FlowOps Core Features
    • Visual no-code workflow builder
    • Multi-step LLM orchestration
    • Conditional logic and loops
    • Integration with external APIs and databases
    • Vector store integration
    • Custom code execution modules
    • Version control and collaboration
    • Built-in monitoring and logging
    • One-click API deployment
    • Error handling and retry mechanisms
    FlowOps Pro & Cons

    The Cons

    No explicit pricing details or free tier information provided, requiring contact for pricing.
    Potential complexity for non-developer users due to developer-first design.
    Limited information on user interface or end-user experience.

    The Pros

    Open source and developer-first, providing flexibility and control.
    Supports fully or semi-agentic AI workflows capable of autonomous decision making.
    Unified integration layer simplifies connection to knowledge bases and external services.
    Uses simple JavaScript scripts, lowering the barrier for developing AI workflows.
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