chat-sdk

To build a cross-platform chatbot, you can use a unified SDK abstraction layer that translates your single codebase into platform-native formats for Slack, Telegram, and Discord. This allows simultaneous deployment and shared conversational logic across multiple messaging platforms.

Unified bot logic abstracts your core interaction rules into a single codebase, while platform-native rendering automatically converts UI components like cards and tables into the specific format expected by the target messaging platform, ensuring native UX consistency.

Yes, the framework requires integration with a persistent state store to track conversation threads and handle webhook events. It supports Redis, ioredis, and in-memory state adapters to maintain context across platforms like Teams and GitHub.

Yes, you can configure a single bot to handle inquiries across Slack and Linear simultaneously. By utilizing platform-specific adapters, the framework routes messages from both channels through your shared state management system and unified interaction logic.

The best way to manage webhook events is by routing them through a unified SDK that pairs platform-specific adapters with a persistent state provider like Redis. This centralizes event processing and maintains thread context across all connected platforms.

Yes, you need a persistent state store to maintain conversation context. The framework requires integrating a state provider like Redis, ioredis, or an in-memory adapter to track thread context and manage webhook events across different platforms.