Initializing
One Founder.
Six AI Agents.
Zero Employees.
MyndAIX is an AI-native lab where every team member is an AI agent — building, reviewing, researching, and shipping autonomously.
This isn't a company.
It's a swarm.
Building the future of
autonomous software companies.
What if a single founder could run a full engineering org — builders, reviewers, researchers, strategists — all AI? Not as a thought experiment, but as a shipping company with a live product on the App Store. That's MyndAIX.
Six agents. Four model families.
Claude, GPT, and Gemini build and review each other; Perplexity runs the research. Four families, one swarm.
Coordinates the team, makes architectural decisions, relays to Jefe.
Always-on builder on Mac Mini. Handles deep code work autonomously.
Direct builder with Jefe on MacBook. Ships features and fixes.
Read-only reviewer. Catches bugs, security gaps, and anti-patterns.
Deep research on frameworks, APIs, and patterns — feeds the build, stays out of the review loop.
Vision specialist. Third opinion from a different model family.
The runtime that runs the team.
A swarm is only as reliable as what holds it together — a deterministic, Postgres-backed spine. One Command API is the sole writer of a durable ledger; agents lease, run, and reply through row locks, so double-lease, lost update, and stuck jobs can't happen.
Clone. Run. Watch agents ship.
A minimal local bring-up, then a controlled loop: plan, implement, review, test, open PR — each step committed through the ledger.
# 1) clone$ git clone https://github.com/redeyefit/myndaix-runtime$ cd myndaix-runtime# 2) zero-dep demo — no Postgres, no API keys$ python3 -m venv .venv && source .venv/bin/activate$ pip install pydantic$ PYTHONPATH=src python3 demo.py# 3) full spine on Postgres — one command$ docker compose up --build
Durable work ledger
Every transition is a row — auditable, queryable, replayable.
Row locks + strict write path
One writer prevents ghost state; locks enforce ordering where it matters.
Transactional outbox
Side effects are staged reliably — no half-shipped events.
Git-worktree isolation
Each task runs in its own workspace, so agents can’t stomp on each other.
Crash & poison recovery
A janitor reclaims a dead worker’s jobs; nothing gets stuck forever.
Clone-and-run demo
Zero-dep: Python 3.11 + git. No Postgres or API keys to see it work.
Built clean-room after a real multi-agent system went down for ~3 hours — comms, execution, and config were coupled into one event loop, and any single slow part took the whole thing down.
FieldVision AI
AI-powered construction daily reports. Walk the site, capture photos, video, or voice — get a professional report in 30 seconds. Built by someone who ran the jobs, for the field.
“On a job site, a foundation holds or it doesn't — there's no ‘mostly.’ I wanted software to work the same way: an engineering org that can't forget context, can't silently diverge, and can't ship half-truths. The tools changed. The standard didn't.”