Showing 3 open source projects for "chroma"

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    PhotoPrism

    PhotoPrism

    AI-Powered Photos App for the Decentralized Web 🌈💎✨

    PhotoPrism® is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud. Our mission is to provide the most user- and privacy-friendly solution to keep your pictures organized and accessible. That's why PhotoPrism was built from the ground up to run wherever you need it, without compromising freedom, privacy, or functionality.
    Downloads: 25 This Week
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    Claude-Mem

    Claude-Mem

    Claude Code plugin that automatically captures everything Claude does

    Claude-Mem is a persistent memory compression system built specifically for Claude Code to preserve context across coding sessions. It automatically captures Claude’s tool usage, observations, and decisions, then compresses them into semantic memories that carry forward into future sessions. By enabling long-term continuity, Claude-Mem helps Claude “remember” project history, past fixes, and prior reasoning even after restarts or reconnects. Its progressive disclosure approach intelligently...
    Downloads: 8 This Week
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    Vector Admin

    Vector Admin

    The universal tool suite for vector database management

    Vector Admin is a full-stack management platform designed to simplify the handling, visualization, and control of vector databases used in modern AI and machine learning applications. It acts as a universal interface for interacting with multiple vector database providers such as Pinecone, Chroma, Weaviate, and Qdrant, enabling users to manage embeddings without relying solely on APIs or backend tooling. The platform provides a user-friendly graphical interface that allows developers and non-technical users alike to inspect, edit, and organize vectorized data in a way that is typically opaque in standard workflows. It includes tools for uploading and embedding documents, migrating data between databases, and managing large datasets efficiently while minimizing redundant embedding costs.
    Downloads: 0 This Week
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