Sunny YuenFrontend Engineer / Full Stack Engineer / Software Engineer

/projects/openclaw-control-plane

OpenClaw Control Plane

active2026 — now

A governed, auditable provisioning shell for AI agent runtimes on Railway, separating reusable operating discipline from client-specific automation.

The problem

Deploying and re-deploying an AI agent runtime for each new client normally means manual wizard configuration and untracked drift between instances. Nothing verifies that a live deployment still matches what was intended.

My role

Sole developer and architect — designed and built the provisioning shell, contracts, and deployment discipline end-to-end.

Highlights

  • Built an idempotent setup-profile applier that drives a live OpenClaw instance's setup API from a declarative profile, replacing manual wizard configuration for every client onboarding
  • Engineered a build-time wrapper patch for scoped state export, cutting a full-instance backup from 541MB to roughly 7MB while preserving exact restore compatibility
  • Implemented HMAC-SHA256 GitHub App webhook verification ahead of the proxy's body parser, with a JSON-configured per-repo allowlist gating what can dispatch into an isolated agent turn
  • Added live Railway proof checks that verify a deployment's source, runtime settings, and health endpoints against the pinned template, catching infrastructure drift automatically
  • Designed a workflow-neutral public core with zero client-specific assumptions baked in, letting private profile repos attach automations after onboarding without touching the shared baseline

Architecture

OpenClaw Control Plane is a TypeScript monorepo that provisions and configures OpenClaw agent runtime instances without becoming the runtime itself. An idempotent setup-profile applier reads a declarative client profile and drives a live instance's own setup API automatically, replacing manual configuration for every onboarding. Build-time wrapper patches add scoped state export/import and verified GitHub App webhook handling ahead of the proxy's body parser, and live Railway 'proof' checks continuously verify a deployment's source, settings, and health against what was intended. The public core stays workflow-neutral, with private agency profile repos attaching client-specific connectors and credentials after onboarding.

Stack

TypeScriptNode.jsRailwayDockerGitHub Actions

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