llmwiki
Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !
No outside reports on file
Only use this tool with non-sensitive documents, assume the generated wiki may contain errors, and understand that all content you upload goes to Anthropic's Claude API.
Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (lucasastorian/llmwiki)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/lucasastorian/llmwiki ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-22.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Llmwiki
This tool lets you upload documents and automatically have Claude create a wiki (a collection of linked pages) from them. It works as an MCP connector, which means Claude can access it through a special integration. The project was inspired by Andrej Karpathy's ideas about using AI to organize knowledge.
Who it’s for
People who want to build searchable wikis from their documents without writing everything by hand. Teams or individuals who use Claude and want their AI assistant to help organize and write documentation.
Alternatives
- Obsidian: A local note-taking app that builds wikis without sending data to external servers. - Notion AI: Offers AI-assisted note organization but within Notion's ecosystem. - Mediawiki: Traditional wiki software you can self-host without AI components. - Docusaurus: Documentation framework focused on code projects and manual organization.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README at the GitHub link provided. The setup likely involves cloning the repository, installing dependencies, and configuring Claude Desktop to connect to this MCP server through its configuration file.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.7k
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Document access: The tool reads every document you upload, so sensitive files (medical records, financial data, private emails) would be exposed to the Claude API. - AI-generated wiki quality: Claude might misinterpret documents, create false connections between topics, or include made-up information in your wiki. - Data sent to Anthropic: All your documents get sent to Claude's servers to generate the wiki content. - Early/limited project: This appears to be a smaller project with limited adoption (no recent npm downloads shown), so bugs or security issues may not be caught quickly. - File injection attacks: Specially crafted documents or filenames could potentially trick Claude into behaving unexpectedly or leaking information.
How to lower the risk
Least-privilege permissions
- Use a separate Claude account if possible for wiki generation tasks.
- Never upload documents containing passwords, API keys, or personal identifiers.
Network isolation
- Run this only when you actively need it; don't leave it as a persistent connection.
- Review generated wikis before sharing them publicly.
Monitoring
- Check what documents you've uploaded and what wikis were created.
- Spot-check generated content for accuracy and missing or added information.
Red flags to watch for
- Wiki pages that contain information you didn't put in source documents.
- Unusual formatting or AI errors that suggest something went wrong.
- Large volumes of data being sent during initial wiki generation.
Questions
How do I install Llmwiki?
Llmwiki does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/lucasastorian/llmwiki.
Are there security reports about Llmwiki?
No reports found for this package in our research (last checked 2026-10-30). Llmwiki currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include document access.
Is Llmwiki actively maintained?
Llmwiki has 1.7k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/lucasastorian/llmwiki before pinning it in production.
What are alternatives to Llmwiki?
Notable alternatives to Llmwiki include Obsidian (A local note-taking app that builds wikis without sending data to external servers. - **Notion AI**: Offers AI-assisted note organization but within Notion's ecosystem. - **Mediawiki**: Traditional wiki software you can self-host without AI components. - **Docusaurus**: Documentation framework focused on code projects and manual organization). You can also compare Llmwiki side by side with other MCP servers in the Related tools section on this page.
README badge and team notes
Maintain or use Llmwiki? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/lucasastorian-llmwiki)HTML embed:
<a href="https://agentarmorhq.com/skills/lucasastorian-llmwiki"><img src="https://agentarmorhq.com/api/badge/lucasastorian-llmwiki" alt="AgentArmorHQ Risk Grade for Llmwiki" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "lucasastorian-llmwiki"Share with your security lead
Need sign-off to use llmwiki? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: llmwiki
- **Listing URL:** https://agentarmorhq.com/skills/lucasastorian-llmwiki
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.7k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (lucasastorian/llmwiki)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/lucasastorian/llmwiki
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- lucasastorian
- Source code
- github.com/lucasastorian/llmwiki
- Est. context load
- ~700 tokens / turn (~4 tool schemas, 0.35% of 200k context)
- Popularity
- 1.7k GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-22
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