What it is
openContextGraph is an open-source Graph Knowledge (GK) engine that provides primitives for building explainable, traceable, and verifiable systems. It's the foundation that powers explainability features in SecAI Radar and ctxeco.
The project is released under the MIT License, making it freely available for use in both open-source and commercial projects. It provides graph-based data structures and algorithms for representing relationships, lineage, and trust networks.
Use Cases
Explainability
Build visual graphs that show how decisions are made, what evidence supports conclusions, and how different components relate to each other. Perfect for AI/ML systems that need to explain their reasoning.
Lineage Tracking
Track the provenance of data, models, and decisions through complex pipelines. Understand where information comes from and how it's transformed at each step.
Trust Graphs
Model trust relationships between entities, evidence, and claims. Build systems that can reason about trustworthiness based on graph structures and evidence chains.
Open Source vs Commercial
OSS core is MIT; hosted features are commercial.
The openContextGraph library itself is fully open-source under the MIT License. You can use it in any project, commercial or otherwise, without restrictions.
However, the hosted services, managed infrastructure, and enterprise features we build on top of openContextGraph (like SecAI Radar's trust hub and ctxeco's gateway) are commercial products. This separation ensures the core technology remains open while allowing us to build sustainable business models around managed services.
How It Powers Our Products
SecAI Radar
Uses openContextGraph to build trust graphs showing relationships between MCP servers, tools, permissions, data domains, hosting infrastructure, and evidence. The Trust Graph Explorer visualizes these relationships and enables interactive exploration.
ctxeco
Leverages graph structures to track request lineage, understand policy dependencies, and generate explainable audit logs. Every policy decision can be traced back through the graph to supporting evidence.
Future Applications
The graph primitives enable new capabilities like automated risk propagation, evidence chain validation, and cross-product trust relationships. As we add features, the open-source core benefits the entire community.
Explore openContextGraph
Check out the GitHub repository, contribute, or learn how it can power your own explainability needs.