GStars
    Marker-Inc-Korea

    Marker-Inc-Korea/AutoRAG

    Your Personal Librarian Agent. Ask anything on your computer, organize files, remember important info and files.

    ai-agents
    llm
    agent
    document-parser
    embeddings
    librarian
    open-source
    TypeScript
    Apache-2.0
    5.4K stars
    486 forks
    33 GitHub watchers
    Updated Nov 8, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 2 days ago, with 35 contributors on GitHub.

    Use Cases & Benefits

    • Provides a personal librarian agent that searches, organizes, and answers questions about files, chats, mail, and notes on your computer using retrieval-augmented generation.
    • Enables fast, privacy-preserving, in-place federated search without migrating or duplicating data, combining multiple retrieval methods with direct file verification and curated answers.
    • Use for office workers needing to quickly find and verify information across diverse local documents and communication channels without uploading data externally.
    • Use for developers integrating a TypeScript API to embed advanced semantic search and document parsing capabilities into custom applications or workflows.
    • Use for teams requiring a unified search interface across multiple data sources like Slack, Telegram, Discord, GitHub, and local files with real-time indexing and multi-language support.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Now your agent can find anything in your computer.

    A Finder for your computer that understands what's inside your files. The AutoRAG desktop app puts this librarian behind a real file manager: browse your folders as usual, then ask a question and get an answer that cites the files, chats, and mail it came from. Everything it searches with is the engine in this repository.

    And more: hybrid keyword + meaning search with a reranker · scheduled re-indexing that runs even while the app is closed · an Ask entry in the Finder and Explorer right-click menu · light and dark mode · Korean, English, Japanese, and Simplified Chinese.

    Excerpt from the Marker-Inc-Korea/AutoRAG README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    View category →
    Marker-Inc-Korea/AutoRAG compared with AI Agents repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    morluto/rea450.0K+22.9K7516 days ago
    vercel-labs/agent-desktop21.4K+8.7K755 days ago
    milind-soni/OpenMausBot20.6K+8.4K75today
    stablyai/orca121.4K+6.7K75today
    thedotmack/claude-mem115.8K+4.7K75today
    Marker-Inc-Korea/AutoRAG5.4K—652 days ago
    Category median115.8K+8.4K75—
    Compare AutoRAG with rea, agent-desktop, OpenMausBot →

    Discover Repositories

    Search across tracked repositories by name or description