Developer Preview · Local setup required

Sovereign AI Workspace

Your models. Your machine.
One sovereign workspace.

YveChat connects a hosted workspace to AI models running on your computer, while your models, conversations, images, and compute remain on your machine.

  • Local models via Ollama
  • Six-digit pairing
  • Data stays on your machine
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Local models, served by Ollama

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The Position

Own the word. Sovereignty.

Money proved the thesis. Intelligence is the second application.

Privacy

A policy about what a host chooses to do with your data.

Custody

A physical fact about where data sits and who can reach it.

YveChat is built on custody.

01

Own your compute

Ollama runs open models on your hardware. Prompts, output, and weights stay on your machine.

02

Own your data

Conversations, generated images, and credentials persist on your computer, in your custody.

03

Own your access

A six-digit code pairs the workspace to your machine, and you approve it locally.

YveChat is the sovereign AI workspace for people who run or control their own AI infrastructure. It suits local-AI users, self-hosters, builders, and privacy-conscious operators who are ready to install a local component.

What you need

A short checklist.

YveChat runs local models through a component on your computer. Five things get you started.

  1. A supported desktop computer

    Windows, macOS, or Linux with enough memory for the models you choose.

  2. YveChat Local Bridge

    The connector that links the hosted workspace to your machine. Public installers are on the way, so the preview uses a local build today.

  3. Ollama or another configured runtime

    Ollama is the primary supported runtime. vLLM and OpenAI-compatible endpoints have experimental support.

  4. At least one downloaded model

    Pull a model with Ollama before you begin. Availability depends on what you install.

  5. A compatible browser with local-network permission

    A current browser that can reach your local runtime once you grant permission.

The Sovereign Stack

Four layers. One machine.

Interface, bridge, runtime, and data. Hover a layer to isolate it, and switch the mode to recolour the page.

Drag to rotate

What leaves your machine

Nothing

Where your data goes

Follow the data.

Four paths, stated plainly. Each row shows what leaves your machine.

Local models

Available

Prompts, output, and model weights stay on your computer.

Nothing

Hosted providers

Experimental

When you connect a hosted provider with your own key, that request reaches the provider you chose.

Prompts and output, to your provider

Web search

Available

A search query travels through the local tool gateway to the search provider, and results return with sources.

Your query, to the search provider

Hosted interface

Available

The workspace is static files served from yvechat.xyz. Models and conversations stay on your machine.

Only the page load

Capabilities

Every capability, with its status.

Available runs today. Experimental works with limits. Planned sits on the roadmap.

AvailableWorks today in the developer preview.ExperimentalPartially working, with limits.PlannedOn the roadmap for a future release.
01

Local language models

Ollama serves open models on your hardware. Prompts, output, and weights stay on your machine.

Available
02

Local Bridge pairing

A six-digit code links the hosted workspace to your computer, and you approve it locally.

Available
03

Local image generation

ComfyUI renders images on your machine through image workflows discovered on your system.

Available
04

Web search with citations

Web search runs through the local tool gateway and returns clickable sources.

Available
05

Local and wallet sign-in

Sign in with a local account. Wallet authentication is available and optional.

Available
06

OpenAI-compatible and vLLM endpoints

Configured OpenAI-compatible and vLLM endpoints have limited support today.

Experimental
07

Hosted-provider key management

Full management of hosted-provider API keys is in progress.

Experimental
08

MCP connections

Model Context Protocol connections sit on the roadmap.

Planned
09

Document reading

Reading and retrieval over your documents sits on the roadmap.

Planned
10

Sandboxed code execution

Running code in a local sandbox sits on the roadmap.

Planned
The tool gateway

Tools that run on your machine.

Web search runs today through the local tool gateway and returns clickable sources. Image generation renders locally through ComfyUI. Document reading and code execution sit on the roadmap.

gateway.activitylive
The Local Bridge

Pair the workspace to your machine.

Local Bridge runs on your computer and connects the hosted workspace to your local runtimes through an explicit pairing flow. A six-digit code links the two, and you approve it locally.

Available

Pairing flow

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  1. 1Local Bridge runs on your computer.
  2. 2The workspace shows a six-digit code.
  3. 3You approve the code on your machine.
  4. 4The workspace reaches your local runtimes.

What stays on your machine

  • Models
  • Conversations
  • Generated images
  • Credentials
  • Execution

Why a bridge exists

01

Ollama origins

Ollama rejects cross-origin requests by default. Reaching it from a hosted page needs OLLAMA_ORIGINS set and the daemon restarted.

Read the source
02

Chrome Local Network Access

Chrome gates access from public sites to loopback and private ranges behind a permission prompt, now extended to WebSocket and WebTransport.

Read the source
03

WebKit loopback history

WebKit carried a loopback mixed-content issue since 2017. Safari 18 blocked HTTPS pages from loading http://127.0.0.1 until a March 2025 fix.

Read the source

Public Local Bridge installers for Windows, macOS, and Linux are on the way. The developer preview runs a local build today.

Getting started

Four steps to your first local model.

Set up the Local Bridge, connect a runtime, pair the workspace, and pick a model.

01

Install YveChat Local Bridge

Run the Local Bridge on your computer so the workspace can reach your machine.

02

Install or connect Ollama and download a model

Set up Ollama and pull at least one model. Larger models need more memory and stronger hardware.

03

Open the app and approve the six-digit pairing code

Open the workspace, then confirm the six-digit code on your machine to pair.

04

Select a detected model and begin

YveChat discovers your installed Ollama models after the Bridge connects. Pick one and start.

Troubleshooting

When something stalls.

Six common states and the step that clears each.

Local Bridge unavailable

Confirm the Bridge is running on your computer, then pair again. Restart it if the workspace cannot reach it.

Browser local-network permission denied

Grant local-network access in the browser prompt, then reload the workspace.

Ollama unavailable

Start Ollama and confirm it is listening. The Bridge reaches it once it is running.

No models detected

Download a model with Ollama, then refresh. YveChat discovers installed models after the Bridge connects.

Pairing code expired

Request a new six-digit code and approve it on your machine.

Model too large for available hardware

Choose a smaller model. Larger models need more memory and stronger hardware.

Architecture

Hosted interface, local machine.

Four layers, each with its state. The hosted page pairs to a bridge on your computer, and your runtimes and data stay local.

// hosted page, paired to your machine

Hosted-provider key management is experimental. MCP, document reading, and sandboxed code execution are planned.

L01

Hosted Interface

Available
yvechat.xyz

A static workspace served from yvechat.xyz. Models and conversations stay on your machine.

> interface = static.hosted

L02

Local Bridge

Available
Your machine

A connector on your computer, paired by a six-digit code with your local approval.

> bridge.pair = six.digit.code

L03

Local Runtimes

Available
Ollama, ComfyUI

Ollama serves language models and ComfyUI renders images, both on your hardware.

> runtime = ollama + comfyui

L04

Local Data

Available
Your custody

Conversations, images, credentials, and execution stay on your machine.

> data.location = your.machine

The Principle

Self-custody, now for your intelligence.

The principle that reshaped money applies to thought.

When the model runs on your machine, the workspace is yours to command.

YveChat carries self-custody into the way you work with AI.

session.yveyvechat
$
0Bytes leaving on local models
6Digit pairing code, approved locally
1Local Bridge links your machine
0%Inference markup on your own runtime
Roadmap

Five eras to full sovereignty.

Each era hands another layer of control to the user.

1

Custody

Local models, local data, and local pairing on your own machine.

Available
2

BridgeNow

Local inference through a signed, explicitly paired connection. Public installers are next.

Available
3

Gateway

Web search runs today. Document reading and sandboxed code execution come next.

Experimental
4

Network

An opt-in compute network for shared capacity.

Planned
5

Sovereignty

Governance over protocol parameters and independent oversight.

Planned
$YVE

Utility across the five eras.

One utility arrives per era, each tied to a capability the network gains. Every $YVE utility is planned.

$YVE has not been generated. No contract is deployed and no sale is open. Any offer of $YVE is fraudulent.

Verified links
01

Sovereign Pass

Bridge

Holding or staking unlocks the scaling tier: extended agents, team workspaces, encrypted sync, priority builds, and deployment support.

Planned
02

Gateway Credits

Gateway

Meters tool calls routed through YveChat-operated providers. Your own infrastructure is exempt.

Planned
03

Marketplace Settlement

Network

Settles paid listings and revenue share for agents, prompt packs, and configurations.

Planned
04

Compute Settlement

Network

Pays operators serving models to others through the opt-in compute network.

Planned
05

Governance

Sovereignty

Weight over protocol parameters, emissions, treasury allocation, and marketplace policy.

Planned
Verify it yourself

Proof you can run.

Four claims you can check for yourself.

pass

Local models answer with nothing leaving your machine.

Open your network inspector while a local model answers. Watch for zero outbound requests.

Verify
pass

The workspace pairs only after you approve a code.

Start the pairing flow. The workspace connects once you approve the six-digit code on your machine.

Verify
pass

A local model answers offline.

Disconnect from the network and run an Ollama-served model. It answers.

Verify
pass

Model availability matches what you installed.

Pull a model with Ollama, then reload. YveChat lists the models present on your machine.

Verify
Questions

Straight answers.

Local language models through Ollama, local image generation through ComfyUI, web search with citations, and local or optional wallet sign-in.

Developer Preview

Your models.Your machine.Your workspace.

Follow the setup to run local models today. Read the docs for the full architecture.

Built for people ready to run their own AI.