Comprehensive modular pipelines Tools for Every Need

Get access to modular pipelines solutions that address multiple requirements. One-stop resources for streamlined workflows.

modular pipelines

  • NeXent is an open-source platform for building, deploying, and managing AI agents with modular pipelines.
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    What is NeXent?
    NeXent is a flexible AI agent framework that lets you define custom digital workers via YAML or Python SDK. You can integrate multiple LLMs, external APIs, and toolchains into modular pipelines. Built-in memory modules enable stateful interactions, while a monitoring dashboard provides real-time insights. NeXent supports local and cloud deployment, Docker containers, and scales horizontally for enterprise workloads. The open-source design encourages extensibility and community-driven plugins.
  • AgentsFlow orchestrates multiple AI agents in customizable workflows, enabling automated, sequential and parallel task execution.
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    What is AgentsFlow?
    AgentsFlow abstracts each AI agent as a node in a directed graph, enabling developers to visually and programmatically design complex pipelines. Each node can represent an LLM call, data preprocessing task, or decision logic, and can be connected to trigger subsequent actions based on outputs or conditions. The framework supports branching, loops, and parallel execution, with built-in error handling, retries, and timeout controls. AgentsFlow integrates with major LLM providers, custom models, and external APIs. Its monitoring dashboard offers real-time logs, metrics, and flow visualization, simplifying debugging and optimization. With a plugin system and REST API, AgentsFlow can be extended and integrated into CI/CD pipelines, cloud services, or custom applications, making it ideal for scalable, production-grade AI workflows.
  • QueryCraft is a toolkit for designing, debugging, and optimizing AI agent prompts, with evaluation and cost analysis capabilities.
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    What is QueryCraft?
    QueryCraft is a Python-based prompt engineering toolkit designed to streamline the development of AI agents. It enables users to define structured prompts through a modular pipeline, connect seamlessly to multiple LLM APIs, and conduct automated evaluations against custom metrics. With built-in logging of token usage and costs, developers can measure performance, compare prompt variations, and identify inefficiencies. QueryCraft also includes debugging tools to inspect model outputs, visualize workflow steps, and benchmark across different models. Its CLI and SDK interfaces allow integration into CI/CD pipelines, supporting rapid iteration and collaboration. By providing a comprehensive environment for prompt design, testing, and optimization, QueryCraft helps teams deliver more accurate, efficient, and cost-effective AI agent solutions.
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