This workflow enables a sophisticated AI-powered Discord bot that responds to user mentions and direct messages with context-aware replies. It uses a combination of webhook triggers, language models, memory buffers, and decision nodes to provide accurate and relevant responses in both private and public channels. The workflow begins by detecting incoming messages via webhooks or Discord triggers, then processes the message data through a language model integrated with memory management to ensure responses are contextually consistent. It intelligently determines whether to reply publicly or via DM and then sends the response accordingly. This setup is ideal for communities seeking automated, intelligent interaction that maintains conversation context, such as support servers, community channels, or moderation tools.
AI Discord Bot for Context-Aware Mentions and DMs
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolHttpRequest, discord, discordTool, if, n8n-nodes-discord-trigger.discordTrigger, set, stickyNote, webhook |
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