obsidian-llm-wiki — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by green-dalii · Agent Tool · ★ 458

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is obsidian-llm-wiki safe to install? View the security audit →

About obsidian-llm-wiki

🧠 Karpathy LLM Wiki Plugin for Obsidian AI-powered structured knowledge base that ingests your notes and generates a connected Wiki — based on Andrej Karpathy's LLM Wiki concept. Obsidian official score 95/100 Works with every provider ![Downloads](https://img.shields.io/badge/dynamic/json?logo=obsidian&color=483699&label=downloads&query=$[karpathywiki].downloads&url=https://r

anthropicgraph-algorithmskarpathyknowledge-graphknowledge-managementllm-wikimarkdownnote-takingobsidianobsidian-plugins

Quick Facts

Stars458
Forks56
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score60.2380037253084/100
Open Issues32
Last Updated2026-08-15
Created2026-04-26
Platformsnode
Est. Tokens~24k

Compatible Skills

These tools work well together with obsidian-llm-wiki for enhanced workflows:

  • swarmvault — semantic(0.48)+complementary+rare_topics+same_lang+similar_pop+shared_platform (71%)
  • llm-wiki-plugin — semantic(0.42)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • modular-context-obsidian-plugin — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • open-knowledge — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (64%)

obsidian-llm-wiki alternative? Top 6 similar tools

Looking for a obsidian-llm-wiki alternative? If you're comparing obsidian-llm-wiki with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • karpathy-llm-wiki by Astro-Han · ⭐ 1.9k

    Agent Skills-compatible LLM wiki for Claude Code, Cursor, and Codex. Build a Karpathy-style knowledge base fro

  • swarmvault by swarmclawai · ⭐ 649

    The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Bui

  • ctx by stevesolun · ⭐ 573

    Repo-aware recommendations for skills, agents, MCP servers, and model harnesses. Use your own inventory or the

  • llm-wiki by Pratiyush · ⭐ 362

    LLM-powered knowledge base from your Claude Code, Codex CLI, Copilot, Cursor & Gemini sessions. Karpathy's LLM

  • zettelkasten-mcp by entanglr · ⭐ 162

    A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allow

  • cognithor by Alex8791-cyber · ⭐ 153

    Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP to

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Frequently Asked Questions

What is obsidian-llm-wiki?

obsidian-llm-wiki is Karpathy's LLM Wiki implementation plugin for Obsidian - turns notes and PDFs into a linked, LLM-powered knowledge base with entity pages, concept pages, graph-powered Q&A, and local-first privacy.. It is categorized as a Agent Tool with 458 GitHub stars.

What programming language is obsidian-llm-wiki written in?

obsidian-llm-wiki is primarily written in TypeScript. It covers topics such as anthropic, graph-algorithms, karpathy.

How do I install or use obsidian-llm-wiki?

You can find installation instructions and usage details in the obsidian-llm-wiki GitHub repository at github.com/green-dalii/obsidian-llm-wiki. The project has 458 stars and 56 forks, indicating an active community.

What license does obsidian-llm-wiki use?

obsidian-llm-wiki is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to obsidian-llm-wiki?

The top alternatives to obsidian-llm-wiki on Agent Skills Hub include karpathy-llm-wiki, swarmvault, ctx. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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