Block 1 - AI Agent
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 1.9
This workflow is provided as-is. Please review and test before using in production.
About this workflow Hi! I'm Bruno, and I'm here to help you automate your finances intelligently. This workflow has been carefully developed to transform the way you manage your money, using the...
@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorypostgreschat, @n8n/n8n-nodes-langchain.toolworkflow, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.telegramtrigger, n8n-nodes-base.set, n8n-nodes-base.telegram
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Bruno Dias.
Original n8n.io sourceHi! I'm Bruno, and I'm here to help you automate your finances intelligently. This workflow has been carefully developed to transform the way you manage your money, using the power of artificial intelligence and the flexibility of n8n. With a focus on usability and innovation, this financial agent is the perfect solution for anyone seeking control and insights into their personal or business finances.
This ready-to-use workflow acts as a powerful AI financial assistant, capable of recording your transactions (income and expenses), categorizing them, and providing personalized advice and tips. It is designed to be highly extensible and adaptable to your needs, using cutting-edge technologies to ensure accuracy and efficiency.
This workflow requires n8n self-hosted (or n8n Cloud with custom credentials + community nodes enabled).
For the agent to function correctly, the following tables are required in the PostgreSQL database (Supabase):
transactions: To store details of each transaction (income/expense).balances: To store consolidated balance per day and per user.memoria_chat: To store conversation history for agent memory.Set the webhook path to receive messages from your Telegram API provider (or other messaging platform).
Ensure the supporting workflows (Financial | AI Agent | Register Tool and Financial | AI Agent | Balance Tool) are also imported and connected correctly to the main workflow (Financial | AI Agent).
This workflow uses LangChain agents, OpenAI GPT-4.1, Supabase, and PostgreSQL. It includes multiple "sticky notes" inside the workflow with detailed explanations.
Ideal for individuals, consultants, and developers looking for an intelligent and extensible AI chatbot experience for financial management.
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 | π° Financial AI agent Telegram and WhatsApp |
|---|---|
| Complexity | intermediate |
| Nodes | 9 |
| Categories | Personal Productivity, AI Chatbot |
| Author | Bruno Dias |
| Published | 24 Jun 2025 |
Use the JSON export at /data/workflows/5259/5259.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.
About this workflow Hi! I'm Bruno, and I'm here to help you automate your finances intelligently. This workflow has been carefully developed to transform the way you manage your money, using the...
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.