Popular GitHub Repositories for Airtable

Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. ?

Automate lead research, qualification, and outreach with AI agents and Langgraph, creating personalized messaging and connecting with your CRMs (HubSpot, Airtable, Google Sheets)

Airtable 模型上下文协议服务器，允许 AI 系统与您的 Airtable 数据库交互

Ask question to your Airtable base in natural language

Voice AI agent for reactivating cold leads through personalized calls, assessing their interest with AI agents, and syncing insights directly to your CRMs.

An Airtable extension that enables semantic search and Q&A using gpt-3.5

使用Claude桌面端和MCP（模型上下文协议）客户端，搜索、创建和更新Airtable数据库、表格、字段和记录。

This project is based on concept of NLU (natural language understanding) and using ML to guide a bot's next actions in the conversation. This a rasa project, I added training data, and train the model using ML pipeline. I have build a bot that logs daily wellness data to a spreadsheet (using the Airtable API), to help the user keep track of their health goals. After building a basic assistant, I added a custom actions and forms. Then I connected the assistant to a messaging channel— Slack, so users can talk to the assistant.

AutoML Prediction is an Airtable Block that helps you make predictions using custom models deployed on AutoML directly within Airtable.

This repository is an outcome of a project-based course, to build an AI assistant using RASA framework that collects a daily log of health data by text message and posts the data to a spreadsheet.

Airtable MCP服务器配置和文档

Training On Gen-Ai Basics

AutoML Training is an Airtable Block that helps you build custom machine learning models on AutoML from within your Airtable Base.

AI tạo bài viết với N8N Tự động hóa

This project is an AI-powered Project Management assistant built using Streamlit, integrated with Airtable for data storage. It leverages modular AI agents to generate tasks, allocate them, assess risks, and generate actionable insights.

My collection of automation workflows

? An offline simulator for Airtable for training and educational purposes. Explore tables, views, and automations without an internet connection.

An automated workflow using n8n to collect and analyze Twitter direct messages, enrich them with metadata like timestamp, sentiment, and summary, and store them in Airtable. A perfect no-code/low-code solution for logging communications at scale.

Audio-to-CRM pipeline using n8n and OpenAI for parsing, Airtable for structured record storage, and fallback logic for real-world robustness.