Local & Cloud AI Orchestration

Run your AI stack from one command center.

Connect LM Studio servers and top cloud AI providers. Run persona teams, benchmark with structured episodes, and track model performance.

LM Studio OpenAI Anthropic Google Qwen
LM Manager Pro machine management screen
Built For Power Users

Local model infrastructure, cloud models, teams, benchmarks, and history in one workflow.

LM Manager Pro is a native iOS and iPadOS app for developers and AI enthusiasts who run their own language model infrastructure. It keeps local nodes, cloud providers, personas, episodes, comparisons, and performance history close together.

Inference Nodes

Manage every server at a glance.

Add Mac Minis, workstations, or Tailscale peers as inference nodes. See loaded models, network health, and VRAM usage without switching tools.

AI Personas

Build an engineering team.

Give each model a name, role, personality overlay, and custom system prompt. Assign local and cloud models to the work they do best.

Structured Episodes

Benchmark repeatable workflows.

Run multi-step prompt scripts with pause points and archived history, then compare results across models, teams, and sessions.

Compare Mode

Watch models compete side by side.

Run the same prompt across two to four models in parallel with live TPS, TTFT, token count, and completion time.

Timeline

Search every response later.

Browse a chronological feed of AI responses across sessions, sorted by newest, fastest TPS, most tokens, or session type.

Local First

Your data stays on your device.

No accounts, no analytics, and no telemetry. Export your full dataset as JSON for backup or migration when you need it.

Product Screens

Current App Store marketing screenshots from the latest LM Manager Pro build.

Onboarding screenshot
Onboarding
Machine list screenshot
Machines
Model inventory screenshot
Models
Persona roster screenshot
Personas
Team coordination screenshot
Teams
Episode setup screenshot
Episodes
Streaming chat screenshot
Chat
Compare mode screenshot
Compare
Image Studio screenshot
Image Studio
Workspace dashboard screenshot
Workspace
Repository Status

A working public companion with release verification remaining.

This repository supports the private native app with a public product page, browser companion, privacy policy, and GitHub-backed feedback queue. Status is based on the code and deployment evidence in this repo.

Built

Public product and support surfaces

  • Responsive landing and privacy pages with current product captures.
  • A browser companion for machines, personas, teams, episodes, chat, comparison, scoring, and export.
  • A searchable public GitHub issue board with cached, account-free browsing.
  • Native relay source and issue-bridge workflows kept separate from browser credentials.

Available

Direct email support is live

The support page opens a private, prefilled email draft without a GitHub account, and the public issue queue remains available to browse. The native public-issue relay and private-tracker bridge remain separate operational workflows.

Open issues on GitHub

Next

Keep the support loop verified

  1. Restore and test the native public-issue relay with a scoped credential.
  2. Recheck the published support contact before each App Store release.
  3. Validate one labeled public issue through the private triage bridge.
  4. Reconcile the web companion's cloud-provider copy with its implemented connection paths.

Later

Make operational confidence visible

Add repeatable browser smoke checks for the public board and narrow layouts, then record dated verification beside future support-flow changes so the site distinguishes implemented code from proven service health.

Support Site

Browse the public feedback queue.

Browse requests, follow progress, and keep privacy details one click away.