omni-agent-setup

To connect AI agents to messaging channels, you create a provider defining how the backend communicates, then assign that provider to a specific channel instance. This links your AI agent to platforms like WhatsApp or Telegram for automated message handling.

Messaging integration supports multiple AI backend provider schemas including genie, claude-code, agno, webhook, and openclaw. These options allow diverse AI backend integrations for routing automated responses across various communication platforms.

Yes, you can configure reply filters and advanced routing rules for per-chat or per-user message handling. This allows you to restrict AI agent responses to specific contexts like direct messages or mentions.

Set up a WhatsApp support bot by creating a provider for your AI agent, assigning it to your WhatsApp instance, and applying reply filters. This ensures the AI handles incoming queries and filters responses to direct messages and mentions.

No, you can configure session strategies to handle messages either per-chat or per-user. This flexibility allows you to manage how the AI agent processes and responds to individual conversations across connected channels.

Using a provider schema defines exactly how the messaging platform communicates with your specific AI backend. This abstraction facilitates seamless integration and automated message routing across diverse platforms like Discord and Telegram.