AI-powered database interface primitives with mdxld conventions
SyncAgent React SDK — AI database chat widget & hooks
SyncAgent JavaScript SDK — AI database agent for any app
SQLite persistence layer for Grackle — schema, stores, and migrations
SyncAgent Angular SDK — service and component for AI database chat
The AI Database pack
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The official Pinecone TypeScript SDK for building vector search applications with AI/ML.
Onmau AI database javascript SDK
Core engine for EnginIQ AI database tools
Promptbook: Create persistent AI agents that turn your company's scattered knowledge into action
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Official MCP server for Notion API
An HTTP/REST based AI Search client built on top of Upstash REST API.
Initialize Neon projects
Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser
Media Type Database
This is the Firebase Realtime Database component of the Firebase JS SDK.
Shared AI types and model definitions for Directus AI
The Realtime Database component of the Firebase JS SDK.
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AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
Persistent memory system for AI agents
RcrewAI Rails is a comprehensive Rails engine that brings AI agent orchestration to your Rails applications. Build intelligent AI crews that collaborate to solve complex tasks with full database persistence, background job integration, and a beautiful web dashboard for monitoring and management. Features: • ActiveRecord models for crews, agents, tasks, and executions with full persistence • Rails generators for scaffolding AI crews and agents • ActiveJob integration for asynchronous crew execution (works with any Rails background job adapter) • Web dashboard with real-time monitoring and management interface • Multi-LLM support: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Production-ready with logging, error handling, and security controls • Human-in-the-loop workflows with approval mechanisms • Tool ecosystem: web search, file operations, SQL, email, code execution
Solid Agent stores agent runs in its own database and dispatches staged workflow tasks to the RubyLLM runtime with a built-in Rails UI.
Glancer is a Ruby on Rails engine that enables natural language queries over your database using RAG and LLMs.
Interact with PostgreSQL, MySQL, and Oracle databases using natural language. Powered by RubyLLM with a locally-running Ollama model.
MysqlGenius gives Rails apps a mountable performance dashboard for MySQL databases. Monitor slow queries, analyze query statistics from performance_schema, detect unused and duplicate indexes, and explore your database with optional AI-powered optimization.
Rails Engine that captures exceptions, stores them in your database with rich context, and exposes error data via a bundled MCP server so AI agents can triage, resolve, and fix errors autonomously.
TartaAPI enables seamless integration of AI-driven job search capabilities into Ruby applications. Access a vast database of job listings, utilize AI matching algorithms, and automate interview scheduling, all through an easy-to-use interface with the Tarta API.
An MCP server that provides access to BioRuby KEGG functionality, allowing AI assistants to query KEGG databases for biological pathways, compounds, and other molecular information.
SolidAgent extends ActiveAgent with database-backed prompt context management, declarative tool schemas, and real-time streaming updates. Provides has_context, has_tools, and streams_tool_updates concerns for building robust AI agents.
A mountable Rails engine that lets users write natural language questions and get SQL queries generated by AI (OpenAI, Anthropic, Gemini, Ollama, and more via RubyLLM), executed against their database, with results displayed in a single interface.
Shared library used by the mysql_genius Rails engine and the mysql_genius-desktop standalone app. Contains the SQL validator, query runner, database analyses, and AI services, all of which take an explicit connection abstraction (no globals, no ActiveRecord dependency).
Add semantic search and AI-powered chat to any ActiveRecord model. Uses pgvector for vector storage, OpenAI for embeddings, and your existing PostgreSQL database.
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