How We Built a Multi-Tenant AI Agent Platform (And Open-Sourced It)

We just open-sourced Agentbot — a platform for deploying and managing AI agents at scale. Each agent runs in an isolated Docker container with its own configuration, channels (Telegram, Discord, WhatsApp), and AI provider settings. Here's what we built, why we built it this way, and what we learned from building in the open. The Problem Every AI agent platform we looked at was either: A chatbot wrapper with no real agent capabilities A self-hosted tool that required a PhD to configure A SaaS with no transparency into what was actually running We wanted something different. A platform where: Each agent is genuinely isolated (not just namespaced) Users can connect their own channels (Telegram, Discord, WhatsApp) Auth uses wallet-based identity (SIWE — Sign-In with Ethereum) Payments are Stripe + on-chain (x402 gateway on Base) The code is open source (MIT license) Architecture Frontend (Next.js 16 + Tailwind CSS) ├── Dashboard (agent management) ├── Onboarding (provisioning wizard) └── D