Just trying out AI
+ tax where it applies
- Software
- $10
- Usage balance
- $20
A desktop app that runs a fleet of agents. Graph everything you know into local memory, give Cortex an objective and let it split the work across agents that iterate rather than stopping at the first attempt, and keep every byte on the computer in front of you. Free is available now as a Beta. Public early access.
Personal is all your AI bills in one place: we handle the billing, the routing and the backups, and routing is only available through Personal.
Concretely: you download an application and install it, the same as any other desktop program. It opens on a dashboard. One of its tabs is a chat with Cortex, the assistant that runs the place, and the rest are the screens where the actual work happens.
Underneath that, it graphs what you know, holds what it learned last week, and dispatches sub-agents to do the jobs you hand off. All of it on the machine in front of you.
Cortex assigns the work and everything reports back up to it, so nothing runs unwatched and you are only asked when the decision is actually yours. They all read from memory and save to it, which is why what one run works out is there for the next. Nothing here leaves your computer unless you connect an outside model and allow it to.
Every note is a node and every link between them an edge, so search follows the connections you have written. There is no map view to look at yet. Answers cite the note they came from.
Hand a job off and the agent taking it decides whether it needs breaking up, then spawns sub-agents for the pieces. You see which tools each may touch, and a card shows exactly what it will write and which files it touches before anything is saved.
Agents get a defined set of things they may touch and nothing outside it. You decide what is on that list before anything runs.
What ran, when, and why it decided to. When something changes unexpectedly, there is a trail rather than a shrug.
What it learned about your stack last week is still there this week. It gets sharper the longer you run it, without manual retraining.
Use an outside API while you evaluate it, then move the model onto your own hardware and cut the last thing that leaves the machine.
It makes the change, runs the suite, reads what actually failed and goes again, up to a bounded number of rounds. You get the result of a loop rather than a first draft, and it stops on its own rather than running away with your machine.
This is the part that makes it a harness rather than a chat window. You are not managing a list of bots. You brief one controller, it works out who does what, and the results come back up to it rather than landing in your lap piece by piece.
The assistant in the chat tab is also the controller. You give it the objective, it decides which agents the job needs, hands them their share of it and watches what comes back. You are talking to the thing in charge rather than to one worker among many.
An agent carries its standing instructions, the tools it may call and the folders it may touch, in a configuration you can open and read rather than a hidden registry, so an agent that behaves oddly is something you can inspect.
Delegation is a tool an agent can call, so an agent handed something large breaks it up and hands the pieces down to sub-agents of its own. Each inherits a narrower scope than its parent, never a wider one, and reports its result back up the chain rather than off to the side.
Decisions climb the same chain the work came down. A sub-agent that needs a call asks the agent that gave it the job. That agent settles what it can and passes up only what it cannot. Cortex does the same, and puts something in front of you when the answer is genuinely yours: an executive call, a judgement it should not be making alone, or a case where it is simply not sure. The point of the hierarchy is that you are the last resort rather than the first interruption.
Underneath all of it: every agent is held to the tools and folders it was given, every call it makes is written to an audit log and a run ledger. Files are snapshotted before a write you approve in chat, and one control puts them back; a write made by a scheduled agent run is captured but has no restore control yet. Agents can propose edits to their own instructions, and those proposals never take effect on their own: they are held on disk, and the screen for reviewing them is not built yet.
You are not locked to one model, and you are not limited to one at a time. Run any Ollama model locally, point it at any OpenAI-compatible endpoint, or add an API key for any cloud provider at all, then choose per role which model does what. There is no approved list: if it has an API, it can take a seat.
Check-work adds a second pass over an answer. It reads the answer in a fresh context, without the conversation that produced it, and looks for what is wrong. You get the answer and the critique together, so you can judge the check as well as the work.
Whichever model you assigned the role does the work and gives its answer.
Not the conversation, not the reasoning behind it: the answer on its own, and one instruction, find what is wrong with it. Unsupported claims, plain errors, parts of the task it skipped, anything that would break if you acted on it.
The answer and the critique together, so you can judge the check as well as the work.
With NeuralVault routing you pick a model from a catalogue of 390+ models and use it, with nothing to connect and no key to paste. Free works with your own API key or a local model. Personal does that and adds routing on top.
Your own key, or a local model.
390+ models, nothing to connect.
462 models were listed in the public OpenRouter model catalogue on 14 October 2026, and 393 of them can use NeuralVault's tools, which are the ones its model picker lists. Routing draws on that catalogue, so the number moves as it adds and removes models.
Not a feature list. This is the loop you are in most days, and every step of it happens without your code leaving the machine.
It graphs them into local memory: every note a node, every link an edge. Nothing is uploaded; the index lives beside the files.
Not "explain this file" but "where does this break". It answers from the graph, with paths and call sites you can open.
Not "change this line" but "fix every call site and get the suite green". Cortex assigns it, the agent splits it across sub-agents, and it works through what failed rather than stopping at the first attempt.
Nothing lands without you. Reject it and the correction goes into memory, so the next attempt is better.
One dialog lists the models. You pick where each chat goes, and you can change it any time. The NeuralVault AI score and our full model picker come with NeuralVault routing. With your own keys you get a plain model list. You can also use your own keys, such as OpenRouter, OpenAI and Anthropic, and that is free to use with your own keys. Routing makes it easier and nicer.
Type a name, a maker or what you want it for.
NeuralVault routing is the model we serve for you. My own keys is your key, or a model on this PC. The switch shows once you have one.
Each row shows if it sees images, uses tools and thinks first. A dashed box means the provider does not say.
Starred models get their own Favourites group at the top.
NeuralVault routing is partly built. Your own keys and local models work today.
Personal is not a code assistant with extras bolted on. It is the whole application, and the repository work above is one of the things you can point it at. These are the other screens, all of them included, none of them an upgrade.
A harness is only worth running if you can see what it did and stop it doing more. These are the mechanisms, each stated with its limit.
What ran, whether it was allowed, and what came back are written to an audit log and a run ledger on your disk. The audit log is readable on every edition, Free included.
When Cortex asks to create, append to or move a note, a card shows what it asked for and which files it touches, and nothing happens until you approve. Deletions are refused outright.
An approved write is snapshotted first and one control puts the files back. It restores the files an approved chat write touched, not the conversation: the transcript still shows what was written.
In developmentCovers approved chat writes only. Scheduled agent runs capture a snapshot but have no restore control.The model catalogue shows capability scores beside a per-vendor data-handling label, on every edition, so the choice rests on the facts and not on the brand.
Say “remember that I prefer short answers” and the fact is written to a durable profile that is read back into every later conversation. The write waits on your approval.
A standing rule is appended to your own CORTEX.md, the file Settings shows you, so you can read it, edit it or delete it. It also waits on your approval.
Your notes are plain Markdown on your disk, searched by keyword and by meaning together, and read back into the conversation when they are relevant.
nv: the same fleet, headless, every other command surface beyond run. Every tool is denied unless you allow it. Part of Personal, not a separate purchase, and not in a public download yet.
In developmentBuilt, tested and gated to Personal. It is not in any public download yet.
# the same agents and memory as the app, headless
PS> nv search launch plan
# notes matching, best first
PS> nv audit
# what ran, when, and why
PS> nv board
# the pipeline board
PS> nv run <prompt> --json
# one turn, one event per line
# tools denied unless you allow them
# exit code 5: a tool was refusednv commands, shown without output. The CLI is built and tested and part of Personal, and it is not in a public download yet.If you have spent months tuning standing instructions, skills and slash commands for another agent, none of that is wasted. Point NeuralVault at the same folder and it picks them up untouched. No migration, no second file to maintain, nothing to rewrite in a proprietary format.
CLAUDE.mdStanding instructions read as written, up to 12,000 characters, and exactly one file per directory so nothing is injected twice.
AGENTS.mdThe same idea in the AGENTS.md format. A project set up with one runs here with no second file to maintain.
*/SKILL.mdSkills discovered in the standard folder layout. The ones you have already written are found and read, not re-declared.
.claude/commands/Slash commands picked up from the same place they already live, right beside your skills.
MCP serversAdd the servers you already run through the connector catalogue. Their tools arrive as tools, inside the same permission model as everything else.
CORTEX.mdThe one that is not optional. It is what tells the model how NeuralVault itself works, and it gets its own section below.
Your instructions, your skills, your commands, and the MCP servers you add. What changes is underneath them: memory that survives the session, permissions on every action, and a record of what ran.
A CLAUDE.md by another name, after the assistant that reads it. The difference is what goes in it. Instructions for a coding agent say how you like your code. This says how NeuralVault works, and it is what turns whatever model you point at it into something that can operate the place.
Edit it freely, that is the point. Just do not delete the core sections: they are what tell the model these capabilities exist. Strip them and you keep the features while losing the thing that knows how to use them.
You are most of the way there. NeuralVault reads Claude Code's CLAUDE.md as written, so a project you have already tuned works on day one. It just works better converted, because a CLAUDE.md says nothing about NeuralVault: it was never written for it. Left as-is, your rules get followed by a model that does not know the board or the approval cards exist.
The conversion is one instruction: ask Cortex to read your CLAUDE.md and write it out as a CORTEX.md, keeping your rules and adding the core sections.
Exactly one instruction file is read per directory and CORTEX.md is checked first, so adding one does not stack on your CLAUDE.md, it replaces it.
Convert rather than copy, or rules you spent months on quietly stop being read.
Not two products, and not a trade. Business is this same application with the company parts switched on. Nothing here is removed or held back: every screen, every agent and every capability on this page is in Business too. What it adds on top matters the moment other people start depending on your output.
The whole harness. Agents, persistent memory, the board, approval before each write, and the audit trail. Local models and the plugin API. Sync across your own devices is in development. Of the connectors, the six named sources (Shopify, YouTube, Meta Ads, Search Console, GitHub and RSS) are not in this build; any MCP server can be connected from the catalogue.
So the question is not which product fits. It is whether you need that layer yet. If you do, go to NeuralVault Business. If you do not, nothing on this page is a compromise.
Every plan is NeuralVault Personal plus a usage balance for NeuralVault routing: choose a model from our list, the calls are paid from your balance, and there is no provider account to set up. Your own API keys and local models still work on every plan. The monthly plans start when the Stable version is released, in the next few weeks. During the Beta everyone has Personal.
Free, Personal and Business are the same application with a subscription between them, so the machine needs the same things whichever one you end up on.
Windows 10 or 11, 64-bit. Windows is the main supported platform. There is no ARM build, and macOS and Linux are experimental (see below).
It installs for your user account only, so Windows never asks you for an administrator password. About 119 MB to download.
The light way to run it. The model does its thinking on your provider’s hardware, so your machine only has to run the app.
Much heavier, and worth knowing before you start. Ollama holds the whole model in memory for as long as it stays loaded.
The one local-model number worth having in advance: the model our getting-started guide suggests, qwen3.5:9b, is a 6.6 GB download, and a smaller model costs you proportionally less. We do not publish a minimum memory figure, because with a cloud provider the app is the only thing running on your machine and with a local model it is the model that decides, not us. The app carries its own browser engine, so setup fetches nothing else. The first run needs a connection only to sign in.
NeuralVault has no AI inside it, on any edition. Pick where the thinking happens.
Pick from 390+ models and the calls come out of your balance. Nothing to connect. NeuralVault lists only models that can use its tools. The usage balance opens soon.
From a first try to full-time coding. Every plan is software plus a usage balance in one price, so pick the amount that fits and top up if you need more.
Just trying out AI
+ tax where it applies
Regular, everyday use
+ tax where it applies
Coding most days
+ tax where it applies
Heavy, all-day use
+ tax where it applies
Run low? Top up any time. Top-up money is added to your balance on top of your monthly balance and is not reset each billing cycle.
Billed in pounds sterling. Shown in dollars, euros or pounds so you can follow what you pay; the dollar and euro figures are approximate and the amount charged is the pound price. Your monthly balance resets each cycle. Tax at checkout. The terms are the software licence.
Already have your own API keys, or run a model on your own hardware? Personal on its own is $20 a month (+ tax where it applies): the software licence and only that. The app contains no AI, and model usage is billed by your own provider.
See how to get NeuralVault PersonalBuying usage from us opens soon. These are the rules it counts by.
Your balance is shown in your own currency, not in points to convert. It is never rounded up.
Each plan is one all-in total. Tax is added on top and shown as its own line at checkout.
The provider reports the exact cost, converted at a published European Central Bank rate.
Your balance sits in the corner of the app, with a ring that fills as your balance goes.
On your own API key or a local model none of this applies: your provider bills you and your messages never reach us.
Install it on every machine you own. Devices are unlimited, so a new laptop or a reinstall never costs you a slot.
Unlimited devices, and up to five copies can run at once, signed in at the same time. Start a sixth and you can end one right there, no need to be standing at it.
The same vault on every machine you own, without a server in the middle. In development: it is not in the build yet.
Free is the same application with the paid capabilities locked, so trying it costs nothing and moving up is a subscription rather than a reinstall. Running a company rather than a codebase? NeuralVault Business is priced to the size of the deployment and quoted after a free consultation. Weighing the three of them up? See all three editions side by side.
A release list, not a newsletter. The only thing that is ever sent is news of a build: the first download when it is ready, and after that the releases and feature changes big enough to be worth your attention.
It is in active development and the interface is still moving. That is the reason to be early rather than a reason to wait: the people who get in first are the ones whose friction decides what ships.
Be first to the build.The download lands in your inbox the day it is ready. After that you only hear from us when something genuinely changes what the app does. Never a patch note, and your address goes nowhere else.
Thanks. You are on the list. We will be in touch when the first build lands.
Takes about four seconds. No account, no card.
Welcome aboard.You would be joining while the edges are still rough, which is the point: what you find gets fixed first.
No spam, no drip sequence. Pick what you want to hear about and nothing else.