by panaversity · MCP Server · ★ 142
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KSoR (Knowledge System of Record) is an open-source SDK for building governed, authoritative knowledge systems for humans and AI agents. It is a foundation of an AI-native knowledge platform.
| Stars | 142 |
| Forks | 28 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 54.0431458849492/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-03 |
| Created | 2026-08-17 |
| Platforms | mcp, node |
| Est. Tokens | ~13k |
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ksor is KSoR (Knowledge System of Record) is an open-source SDK for building governed, authoritative knowledge systems for humans and AI agents. It is a foundation of an AI-native knowledge platform.. It is categorized as a MCP Server with 142 GitHub stars.
ksor is primarily written in TypeScript. It covers topics such as agents, ai-agents, ai-data.
You can find installation instructions and usage details in the ksor GitHub repository at github.com/panaversity/ksor. The project has 142 stars and 28 forks, indicating an active community.
ksor is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ksor on Agent Skills Hub include aser, DashClaw, deepcontext-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: