For AI and automation builders

Put several models on one job,
and keep a person on every write.

NeuralVault gives you the pieces: Orchestra to split one job across several models, your own MCP servers, plugins and skills, and an approval card on every write.

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Why it fits you

You are wiring agents into real processes, and a person has to stay in the loop at the right moment.

  1. 01

    A human at the right moment

    Every write to your vault waits on an approval card showing which files it touches, so a chain of agents cannot change your files unseen.

  2. 02

    One job, several models

    Orchestra splits a task across models and combines the answers, with an estimate before it runs.

  3. 03

    Your tools, not a fixed menu

    Add the MCP servers, plugins and skills you already use, and switch them on or off from Settings.

The difference it makes

Before, and with NeuralVault.

Without it

  • Glue scripts with no place for a person to step in
  • One model doing every part of the job
  • An approval that is a chat message nobody sees

With NeuralVault

  • Every write waits on an approval card
  • Orchestra splits a job across several models
  • Your own MCP servers, plugins and skills plug in
  1. 1

    Pick your models

    Use your own key or a local model for each part of the job.

  2. 2

    Split the job

    Orchestra puts them on parts of one question and combines the answers.

  3. 3

    Approve the writes

    Anything written to your vault waits for a yes.

What it does for you

The parts you would
otherwise build yourself.

Approval cards on every write

Writes wait for a yes, and one control puts the files back after an approved chat write.

Orchestra across models

Put several models on one problem. Each agent runs in its own lane, so you can see which did what.

MCP servers, with a Check button

Add a connector, give it its credentials, and press Check: it starts the connector and reports what answered.

Plugins and skills

Install a plugin, switch it off or remove it, and teach agents skills that live as files you can read.

Route models to your own server

Point NeuralVault at a DGX Spark, a home server, vLLM, LM Studio or a rented box, several at once.

A guard on every action

Checks each action before it runs, so a step that goes wrong is stopped or asked about before it does damage.

See what it catches, with the scores
What is not ready

Workflows are not in the app yet, and an approvals queue for work that runs while you are away is not part of 2.0. The nv command line, for scripts and cron, is coming soon and is not in a public download yet. Free is chat first: the Dashboard, Library, Orchestra, MCP connectors, plugins and the agent features need a Personal plan.

Release updates

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