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What you can do with Knowledge Base Kit

Knowledge Base Kit is a Python toolkit that helps Claude Code or Codex turn documents into a local, source-backed Markdown knowledge base with full text, summaries, and a catalog.

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4 use cases

  • Build a source-backed knowledge base from your documents

    Set up a separate Markdown workspace and file documents with the Codex backend after review.

    View prompt
    In the knowledge-base-kit repo, initialize a Codex workspace at <workspace-path>. Then open that workspace in Codex and use the local process_docs skill with the Codex backend on <document-path>, and show the proposed category and changed files before filing. Verify that the workspace passes `python kb.py check --backend codex`.
  • File documents into a knowledge base with Claude Code

    Initialize a workspace for Claude Code and process a document through the local skill.

    View prompt
    In the knowledge-base-kit repo, initialize a Claude backend workspace at <workspace-path>. Open it in Claude Code and use the local process_docs skill with the Claude backend on inbox/<file-name>. Show the proposed category and changed files and wait for review before filing. Verify that `python kb.py check --backend claude` passes.
  • Try the offline demo with no account or model calls

    Run the bundled demo to see extraction and validation without AI generation.

    View prompt
    In the knowledge-base-kit repo, run `python scripts/offline_demo.py ../kb-demo`. Confirm that the demo workspace was created and that validation passed. Report the paths of examples/expected-output/quickstart/full.md and summary.md for comparison, and state that the demo does not simulate AI generation.
  • Validate a knowledge base before sharing it

    Run the structure, link, and TeX checks on a workspace before you hand it to others.

    View prompt
    In the my-kb workspace, run `python kb.py check --backend codex`. List each reported structure, link, archive folding, or TeX problem with its file path, fix only those files, and confirm the check passes again.

How to use Knowledge Base Kit

  1. Check you have what it needs: Python 3.10+; Node.js 20+; Pandoc 3+.
  2. Open Sixian-Li/knowledge-base-kit on GitHub and read the README and license.
  3. git clone https://github.com/Sixian-Li/knowledge-base-kit.git && cd Knowledge Base Kit (inferred, check the README)
  4. python3 -m venv .venv
  5. source .venv/bin/activate
  6. python -m pip install -r requirements.txt

These steps come from our top use case, Build a source-backed knowledge base from your documents, which also has a copy-paste agent prompt.

Knowledge Base Kit alternatives · Best AI repos for Research

About this repo

Requirements

  • Python 3.10+
  • Node.js 20+
  • Pandoc 3+
  • An authenticated Claude Code or Codex CLI for model-assisted processing
  • A downloaded or cloned copy of the knowledge-base-kit repository
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Questions about Knowledge Base Kit

What is Knowledge Base Kit?

Knowledge Base Kit is a Python toolkit that helps Claude Code or Codex turn documents into a local, source-backed Markdown knowledge base with full text, summaries, and a catalog. It is an open-source project on GitHub: https://github.com/Sixian-Li/knowledge-base-kit.

Who is Knowledge Base Kit for?

Written for people who keep research, reading, or project documents and want an AI agent to help file them into a checked Markdown knowledge base.

What can I do with Knowledge Base Kit?

4 use cases so far, for example: Build a source-backed knowledge base from your documents; File documents into a knowledge base with Claude Code; Try the offline demo with no account or model calls. Each has steps and a copy-paste agent prompt.

What do I need to run Knowledge Base Kit?

Python 3.10+; Node.js 20+; Pandoc 3+; An authenticated Claude Code or Codex CLI for model-assisted processing.

What are alternatives to Knowledge Base Kit?

Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.

Is Knowledge Base Kit 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.