Persistent. Read first. Built to finish the work.

Ask your data.Put the answer to work.

Investigate live data, create verified deliverables, and repeat the work that matters—with explicit control over every change.

Agent readyatlas / local host
Works with
Databases · files · MCP
Produces
Answers · reports · data exports
Repeats
Profiles · routines · inbox
Changes
Exact scope · explicit approval

Compare revenue to plan, export the variances, and check again Monday.

What changes for you

From question to durable outcome.

Daita stays with the work after the first answer—without turning every request into an open-ended automation.

01
Understand

Investigate the data you already have

Ask grounded questions across PostgreSQL, SQLite, structured local files, and exact admitted remote tools.

02
Deliver

Turn the answer into something useful

Create reports, canonical snapshots, and exact CSV or XLSX exports with the evidence and provenance intact.

03
Continue

Keep watching—and act carefully

Run durable profiles, repeat bounded read work on a schedule, and approve exact PostgreSQL corrections when needed.

One request, end to end

Ask once. Keep the useful parts moving.

A single piece of work can cross several bounded capabilities while every source, output, schedule, and approval stays visible.

“Compare revenue to plan, export the material variances, and check again Monday.”
01

Grounded analysis

Inspect

Daita searches the relevant database, workspace files, or admitted remote tools for current evidence.
02

Useful output

Package

The result becomes a readable answer and, when useful, a verified report, spreadsheet, or data snapshot.
03

Deliberate continuity

Repeat

Promote the work into a durable profile or a one-time, interval, or calendar check with frozen scope.
04

Human control

Review

Return to the result in your inbox and approve an exact correction only when the evidence calls for one.
One direct loop

The agent can recover from a failed call, but stale data, changed files, exceeded limits, or missing approval stop the operation.

Useful without being unchecked

Control is part of the product.

The agent can produce and repeat real work while keeping action behind narrow, runtime-enforced boundaries.

01

Read first

Database, workspace, MCP, job, and scheduled surfaces begin with read or no data access. Writes never appear by implication.

02

Change by explicit approval

File replacement and scoped PostgreSQL updates require exact targets, previews, approval, and drift checks.

03

Inspectable and bounded

Evidence, artifacts, conversations, jobs, schedules, limits, and failures stay attached to the work that produced them.

Explore the capability and safety details in the documentation

Fits the way you work

Your data. Your model route. Your interface.

Daita keeps a consistent agent and control model across local, hosted, interactive, and scripted use.

01DataPostgreSQL · SQLite · CSV · TSV · JSON · NDJSON · Parquet · MCP
02DeliverablesAnswers · documents · CSV · XLSX · JSON · conversation inbox
03ContinuityConversations · memory · business semantics · reusable skills
04ModelsHosted APIs · Codex, Claude Code, and Grok subscriptions · Ollama
05InterfacesInteractive TUI · headless CLI · Python API · explicit resident host

From install to first outcome

Two commands. Then ask.

The first launch walks you through creating an agent, choosing a model route, and admitting the data you want to work with.

daita — terminal

$ curl -fsSL https://daita-tech.io/install.sh | bash$ daita

Agent created

Model route configured

Workspace admitted

Ask your first question…