The world's first unlimited AI
Discover what's possible when you stop worrying about tokens: background agents scanning your code for bugs, self-correcting loops executing full task lists, and models learning your workflow. Hand over the tasks, go to sleep and wake up with everything done.
Download for Mac · Apple Silicon
$20/month, truly unlimited usage — for any person or organization. Runs comfortably even on a regular laptop, no high-end GPU needed.
Clear requirements, open reasoning, and double-checking
While working on your project, the Coder maintains a Live Plan: goal, hypotheses tested against evidence, discarded theories, verified targets, and an explicit stop condition. You don't see a black box spitting diffs — you watch reasoning take shape and can correct course at any time.
And it doesn't start from scratch: a Product Requirements file lives alongside the session, tracking what needs to be done and why — the ruler that keeps the agent on target instead of improvising.
A second model, the Reviewer, audits the work of the first. Since each model has its own biases, one catches errors the other misses — elevating the output to the level of much larger models, with optional auto-fix.
Fix session leak in runtime.js
Per-session state leaks on switch — confirmed by evidence
Race condition in watcher — discarded
Isolate state at session boundary ·
session-state.js
Author Patch generated for
runtime.js
Reviewer Unhandled expired session —
blocked
Fix applied and resubmitted to Author
Approved · output quality of a much larger model
A team of auditors running while you sleep
Specialized agents scan your repositories in the background — each with a dedicated focus. They find vulnerabilities, logic bugs, dead code, test gaps, and even new feature opportunities. You choose: wake up with a prioritized list to approve, or with fixes already applied — never with a production outage.
Best of all: scans start automatically when you step away from your computer, turning idle time into completed work. Need a new auditor? Describe it in plain English and it starts running.
Asynchronous: request, forget, and receive a notification when it's done.
Guardian Hardcoded API key in
config-utils.js:42
Bug Hunter Unhandled Promise catch in
stream-service.js
Cleaner 3 unused imports in
workspace.js
Test Reviewer Global queue missing
cancellation test
A living map of your repository
The agent understands your entire codebase — how every piece connects. This allows it to assemble context without re-reading thousands of files — faster execution, superior answers — and act knowing the impact of every change.
Ask "what breaks if I replace JWT with sessions?" and get an answer backed by evidence, affected files, and dependency chains. The Wiki turns all of this into browsable, auto-updated, and exportable documentation.
auth/session.ts · imports · conf. 0.95
middleware/jwt.ts · used_by · conf.
0.88
Authentication · Permissions · Workspace
evidence_score 0.82 · suggested reading order ✓
The more you use it, the smarter it gets
It learns from your actual work — code, docs, daily tasks — and masters what is specific to your domain: industry vocabulary, internal guidelines, and coding style. Fewer generic answers, higher accuracy on things unique to your company.
You can combine multiple adapters simultaneously — one for your codebase, one for your writing tone, another for business logic — and toggle them as needed. The more you train and refine, the sharper it gets on what matters to you — even with compact models.
Training · quality (rank 32) · iter 420/500 · loss 0.83
legal-en · scale 1.0 ———●
internal-style · scale 0.5 ——●——
product-support · ready to activate
Assign a task, go live your life, return to finished work
Because usage is unlimited, you don't need to sit and watch. Assign a long task and let your computer work for you: it plans, executes, runs tests, and reviews — while you sleep, go out, or focus on other work.
When complete, receive a notification on your phone or desktop. Tasks taking hours run silently in the background. We call this asynchronous programming.
Planned refactoring for auth module
Modified 14 files · 6 commits
Ran test suite — 218 passing
Reviewer auditing changes…
Notification sent to your phone: ready to review ✅
A living network of specialized micro-models
A network that grows stronger with every user who joins. Each machine specializes in a domain and contributes while idle — and everyone reaps the rewards together. That's why AI works even if you don't own high-end hardware: the network runs for you. The more you contribute, the more usage credits you earn. And no message content is ever transmitted — only anonymized learning signals generated locally.
Shared Model
Your idle machine processes network requests and earns credits as a contributor.
Deep Domain Knowledge
Thousands of micro-models tuned for specific domains, from "coffee" to "Python".
Privacy Preserved
Only anonymized signals travel, and you can leave the network at any time.
All your machines working as one
Expose models from a powerful desktop to your other devices, share embeddings across the network, and sync agents and findings across your team. By pooling your hardware power, you run massive models without relying on any third-party cloud.
And because everything runs on your own hardware, zero data leaves your control — the ideal path for teams handling sensitive information.
-
Remote models — use another machine's AI as if it were local. Direct LAN
connection for sensitive data, or remote via internet for total
flexibility.
-
Shared Index — once indexed by one machine, all others reuse it. Save up
to 95% processing.
-
Enterprise Cluster — interconnect your hardware and run
trillion-parameter models locally with zero manual setup.
Your machines don't just share models. They turn more computers into faster work.
Heavy jobs are split into deterministic pieces and run in parallel across the machines in your organization. Add more available capacity, and large indexing, scanning, and mapping tasks finish sooner — without waiting on a single computer.
The scheduler assigns each piece to a machine that can run it. As your team adds compatible devices, throughput scales horizontally; if one goes offline, unfinished work returns to the pool. Every contribution is then reconciled into one consistent result.
-
Parallel by default — independent pieces run simultaneously, so large
jobs finish faster.
-
Horizontal scale — more available machines mean more capacity for
indexing, scans, and background work.
-
Resilient results — work is reassigned when a device leaves, then
deduplicated into one trusted output.
Your PC works at home. You control it from your phone.
AI runs on your hardware, while you monitor and trigger actions from anywhere via a secure link — no open ports required.
Request a scan, approve a fix, track a long task — or simply record a voice message with an idea while walking, and the AI starts working immediately. Heavy computation stays at home on your hardware.
Need more horsepower? Rent a dedicated GPU.
When your project demands extra performance, rent a dedicated GPU in a few clicks — starting at $40/month. Choose hardware based on the model you want to run and keep it online 24/7 with unlimited usage via our partner providers.
Want to run a 70B → recommended GPU matched automatically
Zero-configuration setup
Online 24/7 · unlimited usage · from $40/month
Create new capabilities by chatting
Dashboards to build, test, and monitor your assistant's tools — simply describing what you want in plain English.
Tools AI-generated
Say "Create a tool that searches Google Maps" and the AI generates it. Import OpenAI function-calling formats or build from scratch — with full execution monitoring.
Functions executable code
Say "Create a function that parses CSVs and aggregates columns." The AI writes the code, runs it safely inside a designated folder, tests it, and schedules execution — all managed from your control panel.
Not just for coding
Workflows
Visually design step-by-step AI workflows and orchestrate multiple specialized agents to divide and conquer tasks.
Navigates the Web for You
The AI opens websites, fills forms, and extracts information — exactly like a human user across any website.
Operates Your Computer
Moves your mouse, types text, and uses desktop applications on your behalf — including software with zero API integrations.
Speak Instead of Type
Say in seconds what takes minutes to type — and listen to responses completely hands-free.
Adaptive Memory
Every interaction becomes learning: the AI remembers successful outcomes and stops repeating mistakes.
Model Library
Top open-source models ready to install in one click — including vision-capable multimodal models.
New Skills
Connect AI to your existing tools and services, teaching it reusable skills applicable to any project.
Multitasking
Chat, code, and background tasks run concurrently without resource contention: nothing freezes while tasks execute.
Get Started in Minutes
Install the App
Download for Mac with Apple Silicon (M1 or later). Open the DMG and drag Local Brain to Applications.
Choose a Model
Select a model from our curated catalog and install with one click. Runs locally instantly.
Put it to Work
Code, audit, automate, train adapters — and command from anywhere.
Your data is not the product
No content telemetry and zero external model training on your conversations*. Inference happens on your hardware, and all data stays on your device*.
When using internet access, our relay servers only route encrypted requests to your machine — nothing is ever stored on them.
*Except when opting into the Infinity Network or cloud GPUs.
Your AI. Your hardware. Your rules.
Download Local Brain and deploy a team of agents that plan, audit, and learn. Unlimited AI for $20/month for everyone — no 5-hour limits, no weekly quotas. Use as much as you want.
Who's building this
Pedro Rabbi
Full-stack programmer with 10+ years of experience and entrepreneur. Founder of Pop Vagas, a jobs platform with over 9,000 users in 3 countries, and other technology startups.
Gestefane Rabbi
Computer science professor at UFMG (Brazil's 4th best university), master in Computer Science, ongoing PhD, mathematician, software engineer and entrepreneur.