Private production repository for the Factory AI platform.
This repository contains the live product code for Factory AI: a high-performance private-cloud platform for autonomous agents. It manages identity (DIDs), execution (Durable Workflows), and state (Gitlawb mirroring) across a unified Railway-native infrastructure.
- Factory AI Unified: High-energy "Factory Orange" aesthetic (#EF6F2E).
- Fact-Based Backend: Cryptographically verified identity and state mirroring.
- Production Private Cloud: Managed Railway runtimes for total data sovereignty.
- AI Gateway Mastery: Ultra-performance inference via Vercel AI Gateway + MiMo V2 Pro.
web/Next.js 16 app powering the Factory dashboard and APIs.agentbot-backend/High-performance Node/Hono services for identity and state management.gateway/Managed multi-platform communication bridge (x402 protocol).mintlify-docs/Docs source for the Factory protocol.skills/Managed skill library including Bitcoin, Liquid, and Social integrations.soul/Borg-7139 soul host and cognitive architecture logic.
- Main Site:
https://agentbot.sh - Ops Command Center:
https://agentbot.sh/admin(Live Data) - Agentbot Coach:
https://agentbot.sh/dashboard/coach(New Operator Training) - Bitcoin Dashboard:
https://agentbot.sh/dashboard/bitcoin(Mainnet Active) - Fleet Control:
https://agentbot.sh/dashboard/fleet
- Identity:
SignatureGuardenforced across all backend routes.signedFetch(DID-native) on frontend. - Infrastructure: 100% Railway-native. Render references purged.
- Model:
xiaomi/mimo-v2-pro(Factory Master) via Vercel AI Gateway. - Persistence: SQL State + Gitlawb Fact Mirroring.
- Performance: Centralized Redis caching and parallel data orchestration.
cd web
npm install
npm run build
npm run startnpm run build # Turbo-orchestrated full build
npm run dev # Parallel dev environment
npm run test # Identity and Logic verification- docs/ARCHITECTURE.md — The Fact-Based Backend
- docs/NEW_FEATURES_APRIL_2026.md — Launch log
- SECURITY.md — SignatureGuard and DID Protocol
- PLATFORM_RULES.md — Operational guidelines
MIT