Showing 4 open source projects for "foo_input_sacd.fb2k-component"

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  • 1
    Flowise

    Flowise

    Drag & drop UI to build your customized LLM flow

    Open source UI visual tool to build your customized LLM flow using LangchainJS, written in Node Typescript/Javascript. Conversational agent for a chat model which utilizes chat-specific prompts and buffer memory. Open source is the core of Flowise, and it will always be free for commercial and personal usage. Flowise support different environment variables to configure your instance. You can specify the following variables in the .env file inside the packages/server folder.
    Downloads: 8 This Week
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    Tiledesk Server

    Tiledesk Server

    Tiledesk Server is the main API component of the Tiledesk platform

    Tiledesk Server is the backend component of the Tiledesk platform, providing a comprehensive open-source live chat system with integrated chatbot capabilities for customer support and engagement.
    Downloads: 0 This Week
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  • 3
    Agents-Flex

    Agents-Flex

    Agents-Flex is an elegant LLM Application Framework like LangChain

    ...Agents-Flex provides a rich set of development templates and Prompt Frameworks, including FEW-SHOT, CRISPE, BROKE, and ICIO. Developers can also customize their own unique prompt templates. Agents-Flex has a very flexible Function Calling component. It supports local method definitions, parsing, callbacks through LLMs, and executing local methods to obtain results. Agents-Flex offers Loader, Parser, and Splitter components for the Document. Each component has multiple implementations, making it easy to load data from the web, local files, databases, and various data types.
    Downloads: 0 This Week
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  • 4
    NagaAgent

    NagaAgent

    A simple yet powerful agent framework for personal assistants

    NagaAgent is an experimental framework for building interactive virtual agents capable of autonomous reasoning, dialog, and task execution using components that mirror human cognitive patterns. It provides abstractions for representing goals, context, and state so that agents can plan sequences of actions, evaluate outcomes, and adjust behavior over time. The project includes mechanisms for semantic memory, reasoning pipelines, and integration points with external data sources and language...
    Downloads: 0 This Week
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