Showing 6 open source projects for "data integration"

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  • 1
    ConfiChat

    ConfiChat

    Lightweight, standalone, multi-platform, and privacy focused local LLM

    ...Built as a standalone application without heavy dependencies, it emphasizes simplicity, portability, and ease of setup across multiple platforms including desktop and mobile environments. The tool supports local models such as Ollama and llama.cpp for fully offline operation, while also allowing integration with cloud APIs like OpenAI and Anthropic for access to more advanced capabilities. A key differentiator is its optional encryption of chat history and assets, ensuring that sensitive data can remain secure even when stored locally. Conversations are managed as local JSON files, giving users transparency and direct control over their data. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    MindWork AI Studio

    MindWork AI Studio

    Independent cross-platform desktop app for local and cloud LLMs

    AI Studio by MindWorkAI is a cross-platform desktop application designed to provide a unified interface for interacting with multiple large language model providers, both local and cloud-based. It is built with a strong focus on accessibility and democratization, enabling users to run AI workflows even on low-cost hardware while maintaining flexibility in choosing providers such as OpenAI, Gemini, Anthropic, and self-hosted solutions like Ollama or llama.cpp. The platform introduces a...
    Downloads: 2 This Week
    Last Update:
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  • 3
    Ninjabot

    Ninjabot

    A fast cryptocurrency platform for trading bot in Go

    A fast cryptocurrency trading bot framework implemented in Go. Ninjabot permits users to create and test custom strategies for spot markets. Ninjabot is an open-source platform that provides tools to implement custom strategies and backtests for trading cryptocurrencies in Go. Ninjabot CLI provides utilities commands to support backtesting and bot development. Currently, we only support Binance exchange. If you want to include support for other exchanges, you need to implement a new struct...
    Downloads: 9 This Week
    Last Update:
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  • 4
    Better Chatbot

    Better Chatbot

    Just a Better Chatbot. Powered by MCP Client & Workflows

    Better‑chatbot is an AI chatbot framework powered by MCP protocols and workflows, allowing developers to deploy and integrate AI-powered chat systems with ease. Integrates all major LLMs: OpenAI, Anthropic, Google, xAI, Ollama, and more. MCP protocol, web search, JS/Python code execution, data visualization. Custom agents, visual workflows, artifact generation. Custom agents, visual workflows, artifact generation. Realtime voice chat with full MCP tool integration.
    Downloads: 0 This Week
    Last Update:
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  • 5
    MCP Apps

    MCP Apps

    Official repo for spec & SDK of MCP Apps protocol

    ...The project defines standards, interfaces, and reusable components so different application modules can communicate context, state, and user intent reliably while preserving privacy and user control. Designed to work with large language models and agent systems, Ext-Apps lets developers create plugins that extend core behaviors — such as search integration, data retrieval, workflow automation, or domain-specific tools — without rewriting the host system. The ecosystem emphasizes composability, meaning developers can stack, combine, or swap out apps to tailor functionality to specific use cases or industries. It also includes governance primitives so host platforms can enforce permissions, limit app capabilities, and audit inter-app communication.
    Downloads: 0 This Week
    Last Update:
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  • 6
    Algobot

    Algobot

    Cryptocurrency trading bot with a graphical user interface

    Cryptocurrency trading bot that allows users to create strategies and then backtest, optimize, simulate, or run live bots using them. Telegram integration has been added to support easier and remote trading. Please note that Algobot requires TA-LIB. You can view instructions on how to download TA-LIB. For Windows users, it's best to download the .whl package for your Python install and pip install it. For Linux and MacOS users, there's excellent documentation available. Create graphs with real time data and/or moving averages. ...
    Downloads: 0 This Week
    Last Update:
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