RushDB: AI-Ready Data
Create a graph and vector database to store and search AI data — with no schema needed.
"A founder, Emma, wants to build a chatbot that recommends products to her customers based on their interests. She uses RushDB to connect her product data with her users' preferences, setting up a simple query to return relevant product recommendations. Emma can then refine these recommendations by using additional AI models and integrating them with RushDB."
- •When building AI-powered apps that require complex data relationships and queries
- •When needing a flexible data storage solution that adapts to changing data structures
- •When integrating AI agents that require efficient and scalable data access
db.insert({ name: 'John', age: 30, interests: ['reading', 'hiking'] })Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/rushdb && curl -fsSL https://workflowstacks.com/api/skills/rushdb/claude-skill -o ~/.claude/skills/rushdb/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/rushdb && curl -fsSL https://workflowstacks.com/api/skills/rushdb/claude-skill -o ~/.claude/skills/rushdb/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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