Kompl — security grade CAUTION, quality 70/100

Security audit verdict: CAUTION · quality 70/100

Flagged: installs a cron job. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by tuirk · MCP Server · ★ 76

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

🔒 Is Kompl safe to install? View the security audit →

About Kompl

Kompl Knowledge compiler — turns scattered links, files, and bookmarks into a living wiki that compounds with every new source. []() Why Kompl? Most tools save your stuff and forget about it. Kompl reads it, extracts the knowledge, and compiles it into an interlinked wiki, automatically. One new source can update 10+ wiki pages. Cross-references, contradictions, and synthesis are built at ingest time, not re-discovered on every query. Entity pages, concept pages, comparisons, and source summaries are wikilinked together. The wiki gets richer with every source you add. Runs locally via Docker. Outbound calls are limited to your own API keys (Gemini and/or DeepSeek for compilation, Firecrawl for scraping) and the URLs you choose to ingest. Built with Next.js, Python NLP, n8n orchestration, and SQLite. ![Kompl Wiki](docs/assets/kompl-demo.gi

dockerknowledge-graphknowledge-managementllmllm-wikimcpnlppersonal-knowledge-managementpersonal-wikipkm

Quick Facts

Stars76
Forks7
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score70.4244224977223/100
Open Issues9
Last Updated2026-09-01
Created2026-04-08
Platformsdocker, mcp, node
Est. Tokens~17k

Kompl alternative? Top 6 similar tools

Looking for a Kompl alternative? If you're comparing Kompl 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.

  • ChatCrystal by ZengLiangYi · ⭐ 58

    Local-first AI PKM for coding conversations: import Claude Code/Cursor/Codex, distill notes, semantic search,

  • LLM-Wiki by Oshayr · ⭐ 51

    Autonomous knowledge base plugin for Claude Code - captures reserch, ideas, and decisions into an interlinked

  • gno by gmickel · ⭐ 109

    Local AI-powered document search and editing with first-in-class hybrid retrieval, LLM answers, WebUI, REST AP

  • agent-second-brain by smixs · ⭐ 367

    An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul

  • llm-wiki by Pratiyush · ⭐ 362

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

  • mulmoclaude by receptron · ⭐ 351

    Nurture your own AI assistant on your own computer. Local-first and MIT: memories, data and apps stay as plain

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Frequently Asked Questions

What is Kompl?

Kompl is A compounding LLM-wiki, best fit as a personal second brain that organizes and updates itself as it grows, zero upkeep.. It is categorized as a MCP Server with 76 GitHub stars.

What programming language is Kompl written in?

Kompl is primarily written in TypeScript. It covers topics such as docker, knowledge-graph, knowledge-management.

How do I install or use Kompl?

You can find installation instructions and usage details in the Kompl GitHub repository at github.com/tuirk/Kompl. The project has 76 stars and 7 forks, indicating an active community.

What license does Kompl use?

Kompl 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 Kompl?

The top alternatives to Kompl on Agent Skills Hub include ChatCrystal, LLM-Wiki, gno. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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