orionbelt-semantic-layer

About orionbelt-semantic-layer

Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.

agentic-ai analytics-as-code bigquery business-intelligence clickhouse data-analytics databricks dremio duckdb headless-bi

Quick Facts

Stars	101
Forks	11
Language	Python
Category	MCP Server
Quality Score	34.25/100
Open Issues	4
Last Updated	2026-10-24
Created	2026-02-10
Platforms	cli, mcp, python
Est. Tokens	~1769k

Compatible Skills

These tools work well together with orionbelt-semantic-layer for enhanced workflows:

orionbelt-semantic-layer — semantic(1.00)+rare_topics+same_lang+similar_pop (65%)
WrenAI — semantic(0.41)+complementary+rare_topics+same_lang+shared_platform (63%)
sidemantic — semantic(0.52)+rare_topics+same_lang+similar_pop (58%)
hermes-memory-installer — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (50%)

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Frequently Asked Questions

What is orionbelt-semantic-layer?

orionbelt-semantic-layer is Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context ac. It is categorized as a MCP Server with 101 GitHub stars.

What programming language is orionbelt-semantic-layer written in?

orionbelt-semantic-layer is primarily written in Python. It covers topics such as agentic-ai, analytics-as-code, bigquery.

How do I install or use orionbelt-semantic-layer?

You can find installation instructions and usage details in the orionbelt-semantic-layer GitHub repository at github.com/ralforion/orionbelt-semantic-layer. The project has 101 stars and 11 forks, indicating an active community.

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