AlphaMao1

AlphaMao1 / kk-vault

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LLM-compiled personal research knowledge base. Inspired by Karpathy's llm-wiki gist. Engineered for Antigravity agent.

gist.github.comkarpathy442a6bf555914893e9891c11519de94f
16
4
100% credibility
Found Apr 09, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

KK-Vault is a set of scripts for creating personal research workspaces that use AI to compile documents into a structured, interconnected wiki with optional links to an Obsidian notes app.

How It Works

1
📚 Discover KK-Vault

You learn about a helpful tool that turns your scattered research notes, papers, and articles into a smart, connected wiki that grows as you add more.

2
🆕 Start Your Research Project

You create a simple folder for a topic like quantum computing, and everything gets set up ready for your materials.

3
📥 Add Your Notes and Papers

You simply drop your PDFs, articles, or handwritten notes into the collection spot, and it safely stores them.

4
✨ Build the Connected Wiki

You give the go-ahead, and the smart helper reads everything to create linked pages about key ideas, people, and timelines, making your knowledge easy to explore.

5
❓ Ask Questions and Get Insights

You type everyday questions about your topic, and it pulls together clear answers straight from your materials with links back to the sources.

6
⭐ Save Your Best Discoveries

You pick the most useful answers or pages and move them to your trusted spot, or even blend them into your everyday notes app.

🎉 Enjoy Your Living Knowledge Vault

Your research now lives in an organized, growing web of insights that connects everything, helping you think deeper and remember better every time you add more.

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AI-Generated Review

What is kk-vault?

KK-Vault is a Python-based CLI tool for building an LLM-compiled personal research knowledge base from raw sources like papers, articles, and notes. It compiles them into a structured, interlinked wiki with concepts, entities, and themes, avoiding one-off RAG queries—inspired by Karpathy's llm-wiki gist and engineered for the Antigravity agent. Users get commands like `kk init`, `kk ingest`, `kk compile`, `kk ask`, and `kk promote` to manage workspaces, query the base, and sync with Obsidian vaults.

Why is it gaining traction?

It stands out with a four-layer trust model (raw sources to curated outputs) that prevents LLM pollution, incremental compiles for idempotency, and bidirectional Obsidian integration for seeding notes or promoting artifacts. Developers notice the clean separation of authoritative sources from agent-generated content, plus maintenance checks for wiki health and cross-workspace discovery—making k vault a reliable agent base for ongoing research without rebuilding from scratch.

Who should use this?

AI researchers diving into topics like quantum-computing or LLM safety, who use Obsidian and want a personal knowledge vault kk 音标 that evolves with Antigravity agents. Obsidian power-users handling kk card vault consignment of papers and notes, or devs building topic-specific bases with traceable claims and promote-to-curated workflows.

Verdict

With 16 stars and a 1.0% credibility score, this early-stage project has solid docs and a mature CLI, but lacks tests and broad adoption—try it for Antigravity setups if Obsidian research fits your flow. Worth prototyping a workspace before committing.

(198 words)

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