Teable combines a PostgreSQL-backed database collaboration platform with an AI app builder, AI chat, and AI automations. Teams can describe an application in natural language, and an agent builds and deploys it within an isolated sandbox connected to live business data.
Project overview
The project uses real PostgreSQL as its underlying database rather than a bolt-on data store, allowing AI agents to operate directly inside live team data and real processes.
Project type
AI Agent · Workflow
Use cases
Documents & Office · Data Analysis
Deployment
Refer to project documentation
License
License pending
Best for
Enterprise teams and developers who need to build custom applications and AI automations directly on top of live PostgreSQL data.
Key capabilities
Users describe the application they need, and an agent builds it within an isolated sandbox before deploying it to its own URL.
A full-featured database collaboration platform built on PostgreSQL that includes tables, views, permissions, and API access.
Every AI session operates in its own isolated container, which is started on demand and terminated when the session concludes.
Provides multiple views including Grid, Form, Kanban, Gallery, and Calendar, alongside formulas, filtering, grouping, sorting, aggregation, comments, real-time collaboration, charts, and SQL queries.
Limitations and risks
Self-hosting the Teable Community Edition operates under the AGPL-3.0 license, which carries specific requirements and obligations for distribution.
Getting started
Setup requires initializing and running backend and frontend services via the command line. The documented first success path includes enabling corepack, installing project dependencies, initializing Postgres, setting custom environment variables, and running the development server.
Alternatives and comparisons
A modern open-source VPS control panel providing a web interface to manage servers and natively run AI agents and LLMs, serving an infrastructure management role rather than a database app builder.
An autonomous agent runtime providing ownership over agents and data with multi-channel messaging support, serving a personal agent role rather than a database collaboration platform.
An automated financial agent platform for stock selection and trading with local data storage, serving a specific financial domain rather than general business app generation.