AutomationFlowsAI & RAG › AI Chat Agent with OpenRouter & Redis Memory

AI Chat Agent with OpenRouter & Redis Memory

Original n8n title: Agente (chat Trigger)

AGENTE. Uses chatTrigger, agent, lmChatOpenRouter, memoryRedisChat. Chat trigger; 7 nodes.

Chat trigger trigger★★☆☆☆ complexityAI-powered7 nodesChat TriggerAgentOpenRouter ChatMemory Redis ChatHTTP RequestNoco Db ToolTool Workflow
AI & RAG Trigger: Chat trigger Nodes: 7 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

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How this works

This workflow transforms incoming Telegram messages into actionable tasks by automatically creating and managing them in Google Tasks, ensuring you never lose track of important requests or reminders. It's ideal for individuals or small teams who rely on Telegram for quick communications but need a structured task management system to boost productivity without manual data entry. The key step involves the Telegram trigger capturing messages, followed by processing to add tasks directly to Google Tasks, with optional notifications back via Telegram for seamless follow-up.

Use this workflow when you handle frequent Telegram interactions that require task tracking, such as personal to-do lists or team coordination, to automate organisation and reduce oversight. Avoid it for high-volume enterprise needs where more robust tools like dedicated project management software are better suited, or if you don't use Google Tasks. Common variations include adding filters for specific message types or integrating with calendars for deadline reminders.

About this workflow

AGENTE. Uses chatTrigger, agent, lmChatOpenRouter, memoryRedisChat. Chat trigger; 7 nodes.

Source: https://github.com/fer336/workback/blob/328a48f11b1e3d69b6c7a911b4269e5d6497480b/workflows/zTro0HmoKp2MbfmJ.json — original creator credit. Request a take-down →

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