Everything you need.
Nothing you don't.

A grid of features. Read top-to-bottom — pricing tiers labeled inline.

GPU-rendered grid

Virtualized and fed by a row stream. The grid is a Metal/DirectX/Vulkan surface, not a DOM table.

performance status frame-rate validation ongoing

delivery

stream

paint

viewport

runtime

native

Native on every desktop OS

Same Rust + GPUI codebase on macOS, Windows, Linux. Identical shortcuts. No 'we ported it' second-class citizens.

macOS

12+ · arm64 · x86_64

→ Metal

Windows

10+ · x86_64

→ DirectX 12

Linux

GNOME · KDE · Wayland

→ Vulkan

Bring-your-own AI

BYOK

Plug in Ollama, the claude CLI, or an Anthropic / OpenAI / OpenRouter key. AI usage is billed by your provider, not by zolt.

top 10 repeat customers in q1 via ollama · llama3.1

-- preview · press ⌘⏎ to insert
select u.email,
       count(*) as orders
from orders o
join users u on u.id = o.user_id
where o.placed_at >= '2026-01-01'
group by 1
order by orders desc limit 10;

SSH tunneling

public beta

In development for the public beta: define a bastion once and zolt opens, holds, and tears down the tunnel per session. No PuTTY, no autossh dance.

your laptop

bastion

postgres

SSH (password / key file) TLS for remote DB sessions

Keychain-backed credentials

Passwords are stored keychain-first — macOS Keychain, Windows Credential Manager, or Linux Secret Service — with an encrypted local vault fallback. Never in plaintext config files.

analytics-prod

postgres · admin@db-1.acme.io

password = ••••••••••••

● keychain · macOS

Production guardrails

CORE

Risky statements are classified before execution, with read-only mode, confirmation gates, and local history making database changes explicit.

review

confirm

history

DELETE without WHERE → confirmation required

History is local and credentials are redacted.

Schema diff & DDL gen

Diff two schemas, generate the migration, paste into your repo. No external diff tool.

+ ALTER TABLE users ADD COLUMN tier text;

CREATE INDEX users_email_lower

~ ALTER COLUMN orders.total TYPE numeric(12,2);

− DROP TABLE legacy_sessions;

4 changes · postgres · ready to copy

Streaming result pipeline

CORE

Drivers expose result sets as streams. Rows move through a bounded buffer into the virtualized grid instead of being collected into one full in-memory result.

→ database driver · row stream

← schema arrives before the final row

→ bounded buffer · incremental ingest

← visible range handed to the native grid

● no full-result Vec at the driver boundary

Three workflows, one native client.

zolt — capture 1/3 · palette

monthly active users by week ⌘K

Generate SQL · MAU by week ollama · llama3.1

Open dashboard

Run last query again

-- generated · review before run
select date_trunc('week', started_at) as wk,
       count(distinct user_id) as maus
from sessions
where started_at >= '2026-01-01'
group by 1
order by wk;

events · streamed result · scroll position 423,118 ● virtualized

event

payload

user

423,118

page_view

{"path":"/p/0"}

14:00:0

u_23s6

423,119

click

{"path":"/p/73"}

14:01:7

u_23s7

423,120

sign_up

{"path":"/p/146"}