openclaw-multi-agent

To set up multi-agent message routing in OpenClaw, you configure the gateway with binding rules that direct messages to specific agents based on criteria like channel or user, while defining individual workspaces and model assignments for each agent.

Per-agent sandboxing in multi-agent systems isolates agents by enforcing specific operational constraints and tool access policies, ensuring each AI agent operates securely within defined boundaries and cannot execute unauthorized actions.

Yes, you can assign different models to individual agents during agent creation and configuration, allowing you to optimize each agent's workspace with specific model capabilities tailored to its designated tasks.

You configure a multi-agent system by creating distinct agents for customer support, billing, and technical support, then implement message routing rules to direct user inquiries to the correct agent based on channel criteria.

Binding rules for message routing require explicit configuration for each channel and agent pathway, meaning complex routing logic must be manually defined and any unconfigured channels will not properly route messages to the intended agent.