Comprehensive scalable design Tools for Every Need

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scalable design

  • Convert text into scalable vector illustrations instantly.
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    What is Vectify- AI-Powered SVG Art?
    Vectify enables users to convert plain text into scalable vector illustrations in real-time. By leveraging advanced AI algorithms, Vectify provides high-quality, unique, and creative designs tailored to your input. Whether you need logos, intricate illustrations, or any other vector design, Vectify delivers quick results. With easy SVG export and seamless integration into any project, users can maintain perfect scalability and clarity across all platforms and devices. Vectify significantly reduces the time required for the design process, making it an ideal tool for designers and creators looking for efficiency without compromising on quality.
  • A modular Node.js framework converting LLMs into customizable AI agents orchestrating plugins, tool calls, and complex workflows.
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    What is EspressoAI?
    EspressoAI provides developers with a structured environment to design, configure, and deploy AI agents powered by large language models. It supports tool registration and invocation from within agent workflows, manages conversational context via built-in memory modules, and allows chaining of prompts for multi-step reasoning. Developers can integrate external APIs, custom plugins, and conditional logic to tailor agent behavior. The framework’s modular design ensures extensibility, enabling teams to swap components, add new capabilities, or adapt to proprietary LLMs without rewriting core logic.
  • HMAS is a Python framework for building hierarchical multi-agent systems with communication and policy training features.
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    What is HMAS?
    HMAS is an open-source Python framework that enables development of hierarchical multi-agent systems. It offers abstractions for defining agent hierarchies, inter-agent communication protocols, environment integration, and built-in training loops. Researchers and developers can use HMAS to prototype complex multi-agent interactions, train coordinated policies, and evaluate performance in simulated environments. Its modular design makes it easy to extend and customize agents, environments, and training strategies.
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