by JetBrains · Agent Tool · ★ 80
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Databao Context Engine is an open-source engine that automatically generates a governed semantic context from your databases, BI tools, documents, and spreadsheets. It runs locally in your environment and integrates with any LLM to deliver accurate, context-aware answers
| Stars | 80 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 54.8726590366424/100 |
| Open Issues | 9 |
| Last Updated | 2026-04-10 |
| Created | 2025-10-31 |
| Platforms | python |
| Est. Tokens | ~182k |
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databao-context-engine is Databao Context Engine is an open-source engine that automatically generates a governed semantic context from your databases, BI tools, documents, and spreadsheets. It runs locally in your environment. It is categorized as a Agent Tool with 80 GitHub stars.
databao-context-engine is primarily written in Python. It covers topics such as agentic-analytics, analytics, business-intelligence.
You can find installation instructions and usage details in the databao-context-engine GitHub repository at github.com/JetBrains/databao-context-engine. The project has 80 stars and 6 forks, indicating an active community.
The top alternatives to databao-context-engine on Agent Skills Hub include orionbelt-semantic-layer, orionbelt-semantic-layer, sidemantic. 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.
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