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bahgs/self-improving-obsidian-llm-wiki — explained in plain English

Analysis updated 2026-05-18

21Audience · researcherComplexity · 2/5Setup · moderate

TL;DR

An Obsidian template where an AI agent organizes your notes into a linked wiki and improves its own organizing rules over time.

Mindmap

mindmap
  root((Self Improving Wiki))
    What it does
      Ingests source material
      Builds linked notes
      Updates its own rules
    Tech stack
      Obsidian
      Markdown
      AI coding assistants
    Use cases
      Personal knowledge base
      Research organization
      Concept summaries
    Audience
      Researchers
      Note takers

Code map

Detail Auto

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filefunction / class

Why would anyone build with this?

REASON 1

Turn a folder of articles and papers into a linked Obsidian wiki automatically.

REASON 2

Keep source documents untouched while an agent builds summaries and concept pages.

REASON 3

Ask the agent to query the wiki for the strongest concepts across your research.

REASON 4

Let the system refine its own extraction rules as it processes more material.

What's in the stack?

ObsidianMarkdownClaude CodeCursor

How it stacks up

bahgs/self-improving-obsidian-llm-wiki0whitedev/detranspiler0xluk3/zk-resources
Stars212121
LanguagePython
Setup difficultymoderatehardeasy
Complexity2/54/51/5
Audienceresearcherdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · moderate Time to first run · 30min

Requires Obsidian plus an AI coding assistant such as Claude Code, Gemini, or Cursor.

Wtf does this do

Self-Improving Obsidian LLM Wiki is a template for building a personal knowledge base in Obsidian, a note-taking app that stores everything as plain Markdown files, where an AI agent does the work of reading source material you drop in and organizing it into linked notes, concept summaries, and structured wiki pages. The key idea is that the system improves itself over time. Most AI note systems just get bigger as you add material. This one is designed to also get better at its own process: as it ingests sources, it can propose improvements to its own operating rules, extraction patterns, and quality rubrics stored in a "schema" folder. Future ingest sessions run according to updated rules, so the system's judgment and output quality can evolve. The folder structure separates three layers: a "raw" folder for original source documents (which are never edited by the agent), a "wiki" folder for generated notes, concept pages, entity entries, and summaries, and a "schema" folder that contains the agent's operating instructions and its improvement log. You point any AI coding assistant (the template includes configuration files for Claude Code, Gemini, Cursor, and a generic agent format) at the repository root, tell it to read the agent instructions, then give commands like "INGEST: raw/web/example.md" or "QUERY: What are the strongest concepts in the vault?" You would use this if you accumulate a lot of research material, articles, papers, notes, book excerpts, and want an AI to maintain a connected knowledge graph from it without you manually organizing each piece. The full README is longer than what was provided.

Yoink these prompts

Prompt 1
Set up this Self-Improving Obsidian LLM Wiki template and read its agent instructions from the schema folder.
Prompt 2
Ingest raw/web/example.md into the wiki using this template's INGEST command.
Prompt 3
Query the wiki vault for the strongest concepts using this template's QUERY command.
Prompt 4
Explain how this template's schema folder lets the agent improve its own operating rules over time.

Frequently asked questions

wtf is self-improving-obsidian-llm-wiki?

An Obsidian template where an AI agent organizes your notes into a linked wiki and improves its own organizing rules over time.

How hard is self-improving-obsidian-llm-wiki to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is self-improving-obsidian-llm-wiki for?

Mainly researcher.

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