Block 1 - AI Agent
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 2.2
This workflow is provided as-is. Please review and test before using in production.
Overview This workflow streamlines the process of setting up a chat bot using the Signal Messager API. What this is for Chat bot applications have become very popular on W...
@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.set, n8n-nodes-base.if, n8n-nodes-signal-cli-rest-api.signal, n8n-nodes-signal-cli-rest-api.signaltrigger, @n8n/n8n-nodes-langchain.toolthink, @n8n/n8n-nodes-langchain.memorybufferwindow
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Chris Pryce.
Original n8n.io sourceThis workflow streamlines the process of setting up a chat-bot using the Signal Messager API.
Chat-bot applications have become very popular on Whatsapp and Telegram. However, security conscious people may be hesitant to connect their AI agents to these applications. Compared to Whatsapp and Telegram, the Signal messaging app is more secure and end-to-end encrypted by default. In part because of this, it is more difficult to create a chat-bot application in this app. However, this is still possible to do if you host your own Signal API endpoint.
This workflow requires the installation of a community-node package. Some additional setup for the locally hosted Signal API endpoint is also necessary. As such, it will only work with self-hosted instances of n8n.
You may use any AI model you wish for this chat-bot, and connect different tools and APIs depending on your use-case.
Before implementing this workflow, you must setup a local Signal Client Rest API.
version: "3"
services:
signal-cli-rest-api:
image: bbernhard/signal-cli-rest-api:latest
environment:
- MODE=normal #supported modes: json-rpc, native, normal
#- AUTO_RECEIVE_SCHEDULE=0 22 * * * #enable this parameter on demand (see description below)
ports:
- "8080:8080" #map docker port 8080 to host port 8080.
volumes:
- "./signal-cli-config:/home/.local/share/signal-cli" #map "signal-cli-config" folder on host system into docker container. the folder contains the password and cryptographic keys when a new number is registered
An n8n web-form has been created in this workflow to make headless setup easier. In the Form nodes, replace the URL with the address of your local Signal Rest API endpoint.
Open the webform and enter the phone number you are using to register your bot's Signal account
Signal needs to verify you are human before registering an account. Visit this page to complete the captcha challenge. The right-click the 'Open Signal' button and copy the link address. Paste this into the second form field and hit 'Submit'.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Create a secure personal AI assistant with OpenAI and Signal Messenger |
|---|---|
| Complexity | advanced |
| Nodes | 22 |
| Categories | Personal Productivity, AI Chatbot |
| Author | Chris Pryce |
| Published | 09 Nov 2025 |
Use the JSON export at /data/workflows/10661/10661.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Overview This workflow streamlines the process of setting up a chat bot using the Signal Messager API. What this is for Chat bot applications have become very popular on W...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Chatbot use case.