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

We just published a deep-dive on how we built Agentbot — a multi-tenant AI agent platform that lets anyone deploy autonomous agents in under a minute. Here's the breakdown.

What the Article Covers

• Multi-tenancy architecture — isolated user data, session management, and resource allocation
• OpenClaw Gateway — 8 channels (Telegram, WhatsApp, Discord, Slack, Signal, iMessage, Google Chat, Nostr)
• BYOK infrastructure — bring your own AI key, pay wholesale rates
• Open source strategy — why we built in the open, shipped in private
• Docker agent containers — OpenClaw running in Railway with auto-provisioning

Why We Open Sourced

The open source repo (github.com/Eskyee/agentbot-opensource) shows our architecture, CI quality, and code standards. The private repo has real features, customer data, and production infra.

Building in the open builds trust. Contributors see the architecture, users see the code quality, and we attract talent without handing over the sauce.

Read the Full Article

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

Links

• Live Platform: agentbot.sh
• Open Source: github.com/Eskyee/agentbot-opensource
• Docs: raveculture.mintlify.app