Local-first AI platform

Your AI.
Every model.
One place.

Chat, compare, route and build with the models you choose. MultiGrid brings private local workflows and cloud intelligence into one calm desktop workspace.

Windows preview in development · macOS and Linux planned · local BYOK stays free

Compare models

One prompt. Multiple perspectives.
Design a privacy-first onboarding flow for a local AI app.
Smart Auto
Local model
Local-firstYour data stays under your control
OpenAI-compatibleUse familiar SDKs and tools
Multi-providerCloud and local models together
Open coreInspect, extend and self-host
One intelligent workspace

More capability.
Less complexity.

MultiGrid connects everyday AI use with the control developers need—without turning either experience into a control panel.

01

Open-ended chat grid

Keep adding persistent AI chats to an edge-to-edge workspace, tune the pane density, choose a model for each, or broadcast one prompt across the entire grid.

02

Resilient routing

Build persistent model routes with ordered fallbacks, then see which model actually answered.

03

Agents and tools

Create instructed agents with memory, MCP tools, approval policies, task tracking and execution logs.

04

Private credentials

Desktop secrets belong in the operating system credential vault—not browser storage or plaintext files.

05

Usage visibility

Understand requests, tokens, latency and provider-reported costs with persistent local analytics.

06

Local and cloud

Bring your own keys, connect Ollama, or opt into hosted access later. Local workflows remain first-class.

For developers

A familiar API with better routes.

Point an OpenAI-compatible client at MultiGrid to access models, fallbacks, Chat Completions, Responses and embeddings from one local endpoint.

Python
from openai import OpenAI

client = OpenAI(
  base_url="http://127.0.0.1:7777/v1",
  api_key="your-local-gateway-key"
)

result = client.chat.completions.create(
  model="multigrid/auto",
  messages=[{"role": "user",
             "content": "Hello"}]
)
Privacy architecture
1

Choose where inference runs

Use a local model, contact a selected provider directly, or explicitly enable hosted access.

2

Keep secrets out of the UI

Native credentials are stored through Windows, macOS or Linux security services.

3

Approve sensitive tools

Agent policies and confirmation gates keep consequential actions visible.

Privacy by choice

Local is the default, not an afterthought.

MultiGrid is designed so useful local workflows do not require a cloud account. Optional services will be clearly separated and opt-in.

Early desktop preview

Help shape MultiGrid.

Installer signing and public distribution are still being prepared. Follow development or contact us for preview access.