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by aaronsb · MCP Server · ★ 124
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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
| Stars | 124 |
| Forks | 19 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.4339730645156/100 |
| Open Issues | 45 |
| Last Updated | 2026-07-02 |
| Created | 2025-10-05 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~15k |
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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 124 GitHub stars.
knowledge-graph-system is primarily written in Python. It covers topics such as apache-age, concept-extraction, docker.
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 124 stars and 19 forks, indicating an active community.
knowledge-graph-system is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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.