by aaronsb · MCP Server · ★ 118
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 118 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.4339730645156/100 |
| Open Issues | 44 |
| Last Updated | 2026-07-02 |
| Created | 2025-10-05 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~15k |
These tools work well together with knowledge-graph-system for enhanced workflows:
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.
Semantic code searcher and codebase utility
Stop re-explaining yourself to AI. MARM offers persistent memory, cross-agent context sharing, write queues, s
LeanKG: Stop Burning Tokens. Start Coding Lean.
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn fro
Persistent memory for AI coding agents
Open-source semantic document search (RAG) engine with FastAPI and instant self-hosted deployment
Explore other popular mcp server tools:
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 118 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 118 stars and 18 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 octocode, MARM-Systems, LeanKG. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.