数据 分类的热门项目
按最近已完成的 8 小时观测回合间的 GitHub 星标增量排序
按最近已完成的 8 小时观测回合间的 GitHub 星标增量排序
Context provider for data agents (MCP + REST + CLI): metrics, golden queries, and interpretation knowledge. Google Cloud native (Cloud Run + Cloud SQL), secret-zero.
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
ochakai is a context provider for data agents. Semantic layers tell
you that revenue = SUM(price) — they don't tell you whether 100 is good
or bad. ochakai keeps that missing half in one knowledge base: metric
definitions, verified golden queries, interpretation knowledge (how to
read a metric), glossary terms, and table catalog entries — curated by
humans and agents together, and served to Claude Code and every other
data agent over MCP, REST, a CLI, and
a bundled web UI. More at ochak.ai.
One Go binary and Postgres — Docker and nothing else locally, Cloud Run
and Cloud SQL when it is real.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
ochakai is a context provider for data agents. Semantic layers tell
you that revenue = SUM(price) — they don't tell you whether 100 is good
or bad. ochakai keeps that missing half in one knowledge base: metric
definitions, verified golden queries, interpretation knowledge (how to
read a metric), glossary terms, and table catalog entries — curated by
humans and agents together, and served to Claude Code and every other
data agent over MCP, REST, a CLI, and
a bundled web UI. More at ochak.ai.
One Go binary and Postgres — Docker and nothing else locally, Cloud Run
and Cloud SQL when it is real.查看完整 README ↗