Showing 6 open source projects for "files server"

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    Google Workspace MCP Server

    Google Workspace MCP Server

    Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms

    ...By acting as a bridge between AI clients and the Google ecosystem, the server enables automated workflows such as searching emails, creating calendar events, retrieving documents, or editing files without leaving the AI environment. The system is designed to operate as a backend service that integrates with AI applications such as coding agents, automation tools, and conversational assistants. Authentication is handled through OAuth-based flows that allow both single-user and multi-user environments while maintaining access control over Workspace data.
    Downloads: 2 This Week
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  • 2
    Anyquery

    Anyquery

    Query anything (GitHub, Notion, +40 more) with SQL and let LLMs

    Anyquery is an open-source SQL query engine designed to allow users to query data from almost any source using a unified SQL interface. The system enables developers and analysts to run SQL queries on files, APIs, applications, and databases without needing separate connectors or query languages for each platform. Built on top of SQLite, the engine uses a plugin architecture that allows it to extend support to dozens of external services and data sources. Users can query structured files such as CSV, JSON, and Parquet as well as remote data sources like SaaS APIs, cloud storage services, and local applications. ...
    Downloads: 0 This Week
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  • 3
    SeaGOAT

    SeaGOAT

    local-first semantic code search engine

    SeaGOAT is an open-source semantic code search engine designed to help developers explore and understand large codebases more efficiently. Instead of relying solely on traditional keyword search, it uses vector embeddings to represent the meaning of code and queries, allowing users to perform semantic searches that find relevant code even when the exact keywords are not present. The tool runs locally on a developer’s machine and processes repositories using a combination of embedding models...
    Downloads: 1 This Week
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  • 4
    Extractous

    Extractous

    Fast and efficient unstructured data extraction

    ...For broader format support, the system combines its Rust core with ahead-of-time compiled Apache Tika shared libraries, which allows it to extend parsing coverage while still avoiding traditional server-based overhead. It also supports OCR for images and scanned documents through Tesseract, making it useful for document ingestion pipelines that include image-based or scanned inputs.
    Downloads: 0 This Week
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    LangChain Extract

    LangChain Extract

    Did you say you like data?

    LangChain Extract is an open-source reference application designed to demonstrate how large language models can be used to extract structured data from unstructured text and document files. The project implements a lightweight web service that allows developers to define extraction schemas and apply them to various sources such as plain text, HTML, or PDF documents. Built using FastAPI and the LangChain framework, the application exposes a REST API that can process documents and return...
    Downloads: 0 This Week
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  • 6
    AutoGPT.js

    AutoGPT.js

    Auto-GPT on the browser

    AutoGPT.js is an open-source project that brings autonomous AI agent capabilities similar to AutoGPT directly into the browser environment. The system allows users to run an AI agent capable of performing tasks such as generating code, searching the web, and interacting with files on the local computer. Unlike traditional AutoGPT implementations that require server infrastructure, AutoGPT.js is designed to run primarily in the browser, making it easier to deploy and experiment with autonomous agents. The platform uses web APIs and language model integrations to give the agent the ability to plan tasks, execute commands, and store short-term memory during operations. ...
    Downloads: 0 This Week
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