knowledge-graph-system — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

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 aaronsb · MCP Server · ★ 128

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

🔒 Is knowledge-graph-system safe to install? View the security audit →

About knowledge-graph-system

Kappa Graph — κ(G) A semantic knowledge graph that extracts concepts from documents, tracks how well-supported they are, and remembers where sources disagree. κ(G)) — vertex connectivity of a graph. The minimum number of connections you'd need to cut before the graph falls apart. A measure of how robust the structure is. Also kg — the unit of mass. Because knowledge here has weight. Grounding scores measure how heavy an idea is: well-evidenced claims carry more than thin ones. Contested concepts weigh differently than unchallenged ones. Quick Start Install Client Tools The CLI, MCP server (for AI assistants), and optional FUSE filesystem: Or just the CLI: Deploy the Platform Run your own knowledge graph backend: Or from source: bash git clone h

apache-ageconcept-extractiondockerfastapigraph-databaseknowledge-graphmcp-servernlppostgresqlsemantic-search

Quick Facts

Stars128
Forks21
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score68.4339730645156/100
Open Issues53
Last Updated2026-10-02
Created2025-10-05
Platformsdocker, mcp, python
Est. Tokens~15k

Compatible Skills

These tools work well together with knowledge-graph-system for enhanced workflows:

  • agent-second-brain — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
  • AI-Search-Hub — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)

knowledge-graph-system alternative? Top 6 similar tools

Looking for a knowledge-graph-system alternative? If you're comparing knowledge-graph-system 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.

  • phpMyFAQ by thorsten · ⭐ 620

    phpMyFAQ - Open Source FAQ web application for PHP 8.4+ and MySQL, PostgreSQL and other databases

  • octocode by Muvon · ⭐ 477

    Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in o

  • MARM-Systems by Lyellr88 · ⭐ 305

    Stop re-explaining yourself to AI. MARM offers persistent memory, cross-agent context sharing, write queues, s

  • LeanKG by FreePeak · ⭐ 220

    LeanKG: Stop Burning Tokens. Start Coding Lean.

  • omega-memory by omega-memory · ⭐ 219

    Persistent memory for AI coding agents

  • mengram by alibaizhanov · ⭐ 195

    Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn fro

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Frequently Asked Questions

What is knowledge-graph-system?

knowledge-graph-system is Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.. It is categorized as a MCP Server with 128 GitHub stars.

What programming language is knowledge-graph-system written in?

knowledge-graph-system is primarily written in Python. It covers topics such as apache-age, concept-extraction, docker.

How do I install or use knowledge-graph-system?

You can find installation instructions and usage details in the knowledge-graph-system GitHub repository at github.com/aaronsb/knowledge-graph-system. The project has 128 stars and 21 forks, indicating an active community.

What license does knowledge-graph-system use?

knowledge-graph-system 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 knowledge-graph-system?

The top alternatives to knowledge-graph-system on Agent Skills Hub include phpMyFAQ, octocode, MARM-Systems. 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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