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 iamsashank09 · MCP Server · ★ 62
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm-wiki-kit safe to install? View the security audit →
📚 llm-wiki-kit Stop re-explaining your research to your AI agent every session. llm-wiki-kit gives your AI agent a persistent, structured memory that compounds over time. Drop PDFs, URLs, YouTube videos — your agent builds a wiki, connects the dots, and remembers everything across sessions. Based on Karpathy's LLM Wiki pattern. Works with Claude, Codex, Cursor, Windsurf, and any MCP-compatible agent. https://github.com/user-attachments/assets/8814a581-1832-4e94-a5df-9e9b6b041507 The Problem Every time you start a new chat: You're constantly re-teaching your agent things it should already know. The Solution With llm-wiki-kit, your agent maintains its own knowledge base: The wiki persists. Cross-references build up. Your agent gets smarter with every source you add.
| Stars | 62 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.4879155777883/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-08 |
| Created | 2026-04-07 |
| Platforms | mcp, python |
| Est. Tokens | ~6k |
Looking for a llm-wiki-kit alternative? If you're comparing llm-wiki-kit with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
MCP server for reusable prompt templates, multi-step workflow chains, and quality gates — compose agentic work
C++ MCP SDK - build Model Context Protocol (MCP) servers and clients in C++ / CPP. Enterprise-grade security,
Seline is a local-first AI desktop application that brings together conversational AI, visual generation tools
Official Oxylabs MCP integration
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT
Explore other popular mcp server tools:
llm-wiki-kit is Stop re-explaining your research to your AI agent. Persistent, LLM-maintained wikis that compound over time. Drop PDFs, URLs, YouTube - your agent remembers forever. Based on Karpathy's LLM Wiki patte. It is categorized as a MCP Server with 62 GitHub stars.
llm-wiki-kit is primarily written in Python. It covers topics such as ai-agent, knowledge-base, llm.
You can find installation instructions and usage details in the llm-wiki-kit GitHub repository at github.com/iamsashank09/llm-wiki-kit. The project has 62 stars and 14 forks, indicating an active community.
llm-wiki-kit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm-wiki-kit on Agent Skills Hub include FirstData, claude-prompts, gopher-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: