xoai

xoai / sage-wiki

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An LLM-compiled personal knowledge base. Drop in your papers, articles, and notes. sage-wiki compiles them into a structured, interlinked wiki — with concepts extracted, cross-references discovered, and everything searchable.

31
5
100% credibility
Found Apr 05, 2026 at 31 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

sage-wiki compiles personal documents like papers, articles, and notes into a structured, searchable, interconnected wiki using AI.

How It Works

1
💡 Discover sage-wiki

You hear about a simple way to turn scattered papers, articles, and notes into a smart, connected wiki that understands and links your ideas.

2
Choose your setup
🆕
Start fresh

Create a brand new space just for your growing collection.

📱
Enhance current notes

Layer it onto your existing note-taking app for instant smarts.

3
📥 Add your files

Simply drop your PDFs, articles, and personal notes into the ready folder.

4
🧠 Link a thinking helper

Connect an AI brain to read, summarize, and discover connections in your content.

5
🚀 Build your wiki

Hit the build button – it crafts summaries, key ideas, and smart links automatically.

6
🔍 Ask and search

Type questions or search terms to get clear answers with exact sources cited.

Your wiki lives and grows

Everything interconnects beautifully, updating itself as you add more, ready for daily discovery.

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Star Growth

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AI-Generated Review

What is sage-wiki?

sage-wiki is an LLM-powered personal knowledge base in Go: drop papers, articles, and notes into a raw/ folder, and it compiles them into a structured, interlinked wiki. LLMs extract concepts, discover cross-references, generate summaries, and build wiki pages—everything becomes searchable via hybrid BM25 + semantic queries or natural language Q&A. Run as a single binary with CLI commands like `sage-wiki init`, `compile --watch`, or `query "flash attention memory?"`; outputs Obsidian-ready Markdown and exposes tools via MCP for LLM agents.

Why is it gaining traction?

It turns chaotic notes—like sage wiki valorant strats, sage wiki kaffee recipes, or research papers—into a compounding wiki that grows smarter with each addition, auto-linking concepts across sources. Unlike manual Obsidian plugins or static tools, it handles extraction, ontology graphs, and hybrid search out-of-box, with vault overlays for existing setups. The Karpathy-inspired hook: effortless "sources in, wiki out" via watch mode and Git auto-commits.

Who should use this?

Researchers dumping papers into a base of extracted concepts; Obsidian power-users overlaying AI on vaults for cross-references; devs building sonic wiki sage-style notes from code docs, articles, or wikinger saga lore. Ideal for anyone tired of tagging everything manually.

Verdict

Promising early experiment (31 stars, 1.0% credibility score) with clean Go CLI, solid docs, and integration tests—worth a spin for AI PKM if you're okay with fresh projects. Maturity lags, but the wiki-compiling workflow delivers real value fast.

(198 words)

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