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How to use By2 KB: what you can do with it

by2kb is a Python CLI and Hermes plugin that turns Bilibili and YouTube video links, or local audio and video files, into transcript, short abstract, and study-note Markdown files in a local knowledge base.

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5 use cases

  • Browse video picks for a topic and save the ones you choose

    Ask Hermes about a learning topic, review recommendations, then reply with a number to transcribe one.

    View prompt
    Use the by2kb repository (github.com/Charlesmpc/by2kb) through Hermes to search for videos about <topic>. Expected output: separate Bilibili and YouTube lists with unique numbers. Reply with the number of the chosen video and verify that three Markdown artifacts are written to the knowledge base.
  • Turn local meeting audio and lecture video into notes

    Ingest an mp3 or mp4 file from disk and produce the same three Markdown artifacts.

    View prompt
    Use the by2kb repository (github.com/Charlesmpc/by2kb) to ingest the local file <file path> into my knowledge base. Expected output: a content folder with raw, short, and long Markdown files. Verify by running by2kb doctor --json and checking that the media step succeeded.
  • Track and control video ingest jobs from an agent

    Check status, wait, cancel, or retry a running By2 KB job using JSON output.

    View prompt
    Use the by2kb repository (github.com/Charlesmpc/by2kb) to start ingesting <video URL> and then manage the job with status, wait, cancel, and retry in JSON mode. Expected output: a JSON status for each step and the final artifact paths. Verify that the job reaches a completed state or that the retry resumes it.

Quick start with By2 KB

  1. Check you have what it needs: Python 3.12 or newer; pipx installed; ffmpeg and ffprobe available on PATH.
  2. Open Charlesmpc/by2kb on GitHub and read the README and license.
  3. Run pipx install "by2kb[asr-whisper,youtube]" to install By2 KB with local Whisper and YouTube support.
  4. Run by2kb init --preset agent-local and follow the prompts for the knowledge base folder and summary mode.
  5. Run by2kb models install to download the local transcription model.
  6. Run by2kb doctor and fix any failed check it reports.

These steps come from our top use case, Save a Bilibili or YouTube video as Markdown notes, which also has a copy-paste agent prompt.

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By2 KB alternatives · Best AI repos for Research

About this repo

  • Who it is forPeople who find videos in a mobile app or on their computer and want the content kept as searchable Markdown in their own knowledge base.
  • Why it is hot154 stars, launched 72 days ago
  • LanguagePython
  • Sourcegithub.com/Charlesmpc/by2kb · Back to Hot repos

Requirements

  • Python 3.12 or newer
  • pipx installed
  • ffmpeg and ffprobe available on PATH
  • Optional: Deno 2.3+ or Node.js 22+ for YouTube player challenges
  • Optional: a Hermes agent for chat-based use, or an OpenAI-compatible API key for standalone summaries

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Questions about By2 KB

What is By2 KB?

by2kb is a Python CLI and Hermes plugin that turns Bilibili and YouTube video links, or local audio and video files, into transcript, short abstract, and study-note Markdown files in a local knowledge base. It is an open-source project on GitHub: https://github.com/Charlesmpc/by2kb.

Who is By2 KB for?

People who find videos in a mobile app or on their computer and want the content kept as searchable Markdown in their own knowledge base.

What can I do with By2 KB?

5 use cases so far, for example: Save a Bilibili or YouTube video as Markdown notes; Send video links to a Hermes bot and get notes back; Browse video picks for a topic and save the ones you choose. Each has steps and a copy-paste agent prompt.

What do I need to run By2 KB?

Python 3.12 or newer; pipx installed; ffmpeg and ffprobe available on PATH; Optional: Deno 2.3+ or Node.js 22+ for YouTube player challenges.

What are alternatives to By2 KB?

Other hot AI repos in Research: Trustworthy Agent Simulation, Kaas, Md2 HD, Loci, LT2 MD.

Is By2 KB safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.