Showing 3 open source projects for "tiny-workflow"

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    Floneum

    Floneum

    Instant, controllable, local pre-trained AI models in Rust

    Floneum is an open-source platform for building AI-powered workflows using large language models through a visual and extensible interface. The system allows users to design complex AI pipelines using a drag-and-drop workflow builder rather than writing extensive code. It focuses on enabling developers and researchers to create language model applications that combine different tools, data sources, and AI capabilities into automated workflows. Floneum supports a plugin architecture that allows external components to extend the platform while maintaining isolation and security. ...
    Downloads: 4 This Week
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    BAML

    BAML

    The AI framework that adds the engineering to prompt engineering

    ...BAML also allows developers to specify which models are used for each prompt and how outputs should be validated or structured. By converting prompt engineering into a more formal programming workflow, the framework improves reliability, debugging, and maintainability of AI systems.
    Downloads: 0 This Week
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    SmartGPT

    SmartGPT

    A program that provides LLMs with ability to complete complex tasks

    ...It works by decomposing larger objectives into smaller steps and gathering information from the internet and other outside sources as needed. The project is written in Rust and emphasizes modularity, allowing developers to compose different “Autos” depending on the workflow they want to build. Its architecture separates responsibility between a dynamic agent that reasons about what to do next and a static agent that plans and executes tool chains in a defined order. The repository describes this approach as a way to improve flexibility and consistency compared with simpler agent loops, while still acknowledging that the project is highly experimental and not focused on backward compatibility.
    Downloads: 0 This Week
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