Comparison

Lobu and OpenClaw are complementary, but they solve different layers of the problem.

• OpenClaw provides the agent runtime/engine.
• Lobu provides deployment, orchestration, isolation, and multi-platform delivery around that runtime.

How Lobu Uses OpenClaw Runtime

Inside each worker, Lobu runs OpenClaw sessions and tool execution.

Lobu wraps OpenClaw with platform and infrastructure concerns:

1. Gateway receives user messages (Slack/Telegram/WhatsApp/API).
2. Gateway routes jobs to worker runtime instances.
3. Worker executes with OpenClaw using Lobu’s tool policy and workspace model.
4. Gateway streams responses and manages integrations/OAuth/secrets.

So the AI execution engine is OpenClaw, while Lobu is the operating layer around it.

Lobu vs OpenClaw

Capability	Lobu	OpenClaw
Runtime engine	Uses OpenClaw in workers	Native OpenClaw runtime
Multi-platform delivery	Built-in (Slack, Telegram, WhatsApp, API)	Integrations available, but no Lobu gateway model
Worker isolation	Sandboxed worker model + gateway proxy	Not the same built-in gateway isolation model
Secret handling	Centralized in gateway/proxy	Direct runtime usage depends on setup
Egress control	Domain policy through gateway proxy	Depends on host/network setup
Deployment model	Docker or Kubernetes orchestration	Typically single runtime deployment

Why This Split Matters

Using Lobu with OpenClaw gives you:

• OpenClaw’s agent runtime capabilities
• Lobu’s production concerns: isolation, routing, persistence, multi-tenant operations, and controlled network/auth boundaries