Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

🚀 Launched today 2.0 🐘 Modern Postgres Terminal. Fast. Native. Written in Rust. Everything you already had in the shell - now with a native TUI and PgBot built in. → SQL - write queries and inspect results → Data - browse schemas, tables and rows → Branches -...

66,979 Aufrufe • vor 1 Monat •via X (Twitter)

23 Kommentare

Profilbild von ActiveRabbit
ActiveRabbitvor 1 Monat

Great design!

Profilbild von alex shapalov
alex shapalovvor 1 Monat

tnx, open for contribution)

Profilbild von Sujal
Sujalvor 1 Monat

what pushed you to native over a tui? curious whether it was rendering speed or just wanting proper mouse support in the terminal.

Profilbild von alex shapalov
alex shapalovvor 1 Monat

it's a tui, that was a mock and terminals do mouse fine OSC 22 even gets you a real hand cursor. it needs to run over ssh, so native was never on the table)

Profilbild von Matt DeLuco
Matt DeLucovor 1 Monat

You should have lead with no electron! 🎉

Profilbild von alex shapalov
alex shapalovvor 1 Monat

yee, and i lead with Rust!

Profilbild von alex shapalov
alex shapalovvor 1 Monat

Worth trying:

Profilbild von The Chieftain A
The Chieftain Avor 1 Monat

Amazing

Profilbild von alex shapalov
alex shapalovvor 1 Monat

Thanks. 🙏 Some more updates will be soon

Profilbild von Axiom 🔬
Axiom 🔬vor 1 Monat

The safety model is the product edge here. A DB agent needs a signed query plan, row-limit, mutation gate, explain trace, and rollback handle next to the TUI. Otherwise ask your database becomes let a chatbot discover DELETE.

Profilbild von Alexander Holbreich
Alexander Holbreichvor 1 Monat

Actualy looks like fun!

Profilbild von alex shapalov
alex shapalovvor 1 Monat

Yes, fan and useful

Profilbild von Christian Lempa
Christian Lempavor 1 Monat

That looks great

Profilbild von alex shapalov
alex shapalovvor 1 Monat

Tnx for feedback

Profilbild von هزيم الرعد
هزيم الرعدvor 1 Monat

is there an in terminal browser ?

Profilbild von alex shapalov
alex shapalovvor 1 Monat

A browser based terminal wouldn’t be secure

Profilbild von هزيم الرعد
هزيم الرعدvor 1 Monat

would be cool tho

Profilbild von alex shapalov
alex shapalovvor 1 Monat

Maybe for test db, or I am not sure about security…

Profilbild von pgrun.dev
pgrun.devvor 1 Monat

install: curl -fsSL | sh

Profilbild von alex shapalov
alex shapalovvor 1 Monat

Yes, the installation process is the same for all versions.

Profilbild von PuneetSingh���️
PuneetSingh���️vor 1 Monat

native TUI + PgBot is a nice agent surface — curious if PgBot gets schema/table browse as tools with structured returns, or if it's still chat-over-SQL. structured row previews beat dumping query text into the context window

Profilbild von Leo Oliemans | Refinery
Leo Oliemans | Refineryvor 1 Monat

A native Postgres terminal plus a bot sounds useful for inspection. I’d keep the mutation boundary very visible, though: read, explain, propose, then explicitly execute. Especially when the result looks plausible but the target rows changed meanwhile.

Profilbild von alex shapalov
alex shapalovvor 1 Monat

No Electron!

Ähnliche Videos

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 Aufrufe • vor 11 Monaten