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Chat agent with chat memory and a calculator

by Mindketn8n workflowProductivity
Newversion 1 · updated
Nodes10Apps1Like

Overview

  1. OpenAI Chat Model
  2. Calculator
  3. Chat Trigger
  4. Window Buffer Memory
  5. Chat Memory Manager
  6. Aggregate
  7. AI Agent
  8. Chat Memory Manager1
  9. Limit
  10. Edit Fields
Chat agent with chat memory and a calculator, picture 1
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An n8n workflow with a chat window and an AI Agent that remembers the conversation. Each message is read with the earlier ones, and the agent answers through an OpenAI model and can use a Calculator tool.

Chat agent with chat memory and a calculator is an n8n workflow in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page or copy its JSON, then import it into an n8n canvas. Nothing runs until you activate it in n8n.

At a glance

Runs in
  • n8n Cloud: import the file into a new workflow there
  • Your own n8n server: the same file and steps
  • The editor’s chat button: the quickest way to test
  • A public chat address: the file has it switched on, so add authentication before you share it

Platform

n8nWorkflow automation, in n8n’s cloud or on your own server
Connects 1 app

How it works

Trigger

Chat message

It starts when you send a message in n8n’s chat:

  • The message you type

Actions

  1. Chat Memory Manager reads the stored messages for the session
  2. Aggregate gathers them into one list of earlier messages
  3. The AI Agent gets that list with your new message and answers through gpt-5.6-terra, using Calculator for sums
  4. Chat Memory Manager1 adds your message and the answer to the memory
  5. Edit Fields returns the answer as output for the chat window

Result

An answer in the chat window that takes the earlier messages into account

Integrations

What you need before you start.

OpenAI

Language model

Runs gpt-5.6-terra as the chat model behind the AI Agent.

NeedsOpenAI API key

Workflow check

Checked by Mindket on 13 Nov 2026

Steps
7 steps, starting on a chat message
AI
1 step calls an AI model: AI Agent
Sign-ins
Signs in to: OpenAI
API keys
No API key is left in the file
Step types
Mindket’s checker reads all 6 of its step types

Read from the workflow’s file, not from a run.

About

What it is

This n8n workflow is a chat agent with a memory. You type in n8n’s chat, and a memory node hands back the earlier messages. An AI Agent reads them with your new message, answers through an OpenAI chat model and can use a Calculator tool. The exchange is then stored for the next turn. Mindket’s copy swaps the retired OpenAI Assistant node for that agent and a model node. Ten working nodes run it, beside five sticky notes.

Who it suits

Builders who want a small chat agent that holds a conversation, and teams moving an older assistant flow off OpenAI’s retired Assistants API. Skip it if you need an assistant’s files or retrieval, which this copy does not reproduce.

Who uses it, and how
IndustryWho uses itHow they use itExample
SoftwareDevelopersStart a chat agent they can extend with more toolsA developer adds a lookup tool beside the Calculator and tests it in the chat.
SupportTeam leadsTry a helper that keeps context before wiring it to a live channelA lead checks that the agent keeps a customer’s name across five messages.
EducationCourse buildersShow how chat memory works in n8nA trainer tells the agent a name, then asks for it a few messages later.
Small businessOwnersKeep a private helper for quick sumsAn owner asks for a quote total, then a discount on it.

You need a little n8n: import a file, add an OpenAI credential and write the agent’s instructions.

Where to use it

Any n8n that can reach OpenAI will run it. The chat opens inside the n8n editor, and with Make Chat Publicly Available on it can also open from its own address.

  • n8n Cloud: import the file into a new workflow there
  • Your own n8n server: the same file and steps
  • The editor’s chat button: the quickest way to test
  • A public chat address: the file has it switched on, so add authentication before you share it

Setup

Download saves a zip with workflow.json and Mindket’s setup notes in your downloads folder. One OpenAI key covers the model.

What you need first
NeedDetail
n8nOn n8n Cloud or on a server of your own
OpenAIAn API key with access to gpt-5.6-terra
InstructionsThe text your assistant used to be given, if it had any
  1. In n8n, create a workflow, open its menu, choose Import from File and pick workflow.json.
  2. Open OpenAI Chat Model and add an OpenAI credential with your key.
  3. Open AI Agent, choose Add Option, then System Message, and type the instructions the agent should follow.
  4. Save and open the chat from the button at the bottom of the canvas.
  5. Tell the agent your name, then ask what your name is. Ask for a sum such as 1234 * 5678 to see the Calculator work.

How to use it

Open the chat and talk to it. Each turn the workflow reads up to 20 earlier interactions from the memory node, adds your new message and sends the whole text to the model. The answer and your message are then stored.

What to change for a different result
To changeWhere
The modelModel in OpenAI Chat Model
The agent’s instructionsSystem Message in AI Agent
How much it remembersContext Window Length in Window Buffer Memory, 20 as it stands
More toolsConnect other tool nodes to AI Agent, beside Calculator
Who can chatMake Chat Publicly Available in Chat Trigger

Example

A shop owner types “My name is Dana and I sell tea.” The agent greets her. A few messages later she asks for the cost of 18 boxes at 23.5 each, less 10%, and then asks what her name was.

The agent works the sum with the Calculator and gives the total. It also answers with Dana, because the stored messages come back into every prompt. Edit Fields returns each answer as output for the chat window.

For newcomers and experts

If you are new. n8n draws a workflow as boxes joined by lines, and each box, a node, does one job. Here the agent sits in the middle with its model and Calculator plugged in underneath. The boxes before and after it read and write the conversation. Send two messages, then open the run and read the prompt the agent received.

For experts. The history is pasted into the agent’s text by an expression, so the agent node itself has no memory attached.

Where to look closer
NodeWhat it doesWhat to know
Chat Memory ManagerReads the stored messages from Window Buffer MemoryVersion 1 returns one item for each exchange, with human and ai
AggregateFolds those items into one messages listAI Agent builds its “Our Previous Conversation” from it
AI AgentTools Agent 1.8 with OpenAI Chat Model and CalculatorpromptType is define, with the text built by an expression
Chat Memory Manager1Adds your message and the answer to the memoryVersion 1 returns every stored message as an item
LimitKeeps one itemThe chat then gets one answer, not one for each stored message

Good to know

The OpenAI Assistants API is gone, and this copy no longer uses it.

  • The API: OpenAI’s deprecations page, read on 12 November 2026, lists the Assistants API as shut down on 26 August 2026, with the Responses API and the Conversations API as its replacement. Mindket’s copy swaps the OpenAI Assistant node for an AI Agent with an OpenAI Chat Model
  • The assistant: its ID is gone. Instructions, files and tools kept on OpenAI’s side do not carry over, so put the instructions in System Message
  • The model: the file sets gpt-5.6-terra. The same page gives 11 December 2026 as the shutdown of gpt-5-mini, the model this node version picks when none is set
  • Open chat: Make Chat Publicly Available is on, so once the workflow is active anyone with the chat address can use your key
  • Memory: Simple Memory lives in n8n’s own memory, which its node says does not suit queue mode, and its code clears a session after an hour without a message
  • First message: the memory is empty, so the history in the prompt reads undefined
  • Billing: OpenAI bills each model call, and a sum with the Calculator adds one
  • Your data: your messages and the stored history go to OpenAI
  • Credentials: the JSON holds none

README and files

README

Chat agent with chat memory and a calculator

An n8n workflow with a chat window and an AI Agent that remembers the conversation. Each message is read together with the
earlier ones, the agent can use a Calculator tool, and its answer and your message are stored for the next turn.

What is inside

  • workflow.json: the workflow as n8n exports it, ten working nodes and five sticky notes. It holds no credential.
  • README.md: these notes.

What we changed from the original copy

  • The original called an OpenAI assistant through n8n's OpenAI Assistant node, which uses OpenAI's Assistants API. OpenAI's
    deprecations page, read on 12 November 2026, lists that API as shut down on 26 August 2026, with the Responses API and the
    Conversations API as its replacement. The node is now an AI Agent (the Tools Agent, version 1.8) with an
    OpenAI Chat Model node (gpt-5.6-terra) and the same Calculator tool. The prompt it receives, with the earlier messages
    and the new one, is unchanged.
  • The assistant's ID is gone. What the assistant held on OpenAI's side (its instructions, files and its own tools) does not
    carry over: put the instructions in the agent's System Message option.
  • Edit Fields read the answer from the old node's name. It now reads AI Agent.
  • Two sticky notes talked about choosing an assistant. They now describe the AI Agent.
  • The credential links and the Chat Trigger's webhook ID are gone.
  • Nothing else. The file has no Code node.

Before you start

  • An n8n instance, on n8n Cloud or your own server.
  • An OpenAI API key with access to gpt-5.6-terra.

Set it up

  1. In n8n, create a workflow, open its menu and choose Import from File. Pick workflow.json.
  2. Open OpenAI Chat Model and add an OpenAI credential with your key. Change the model there if you want another.
  3. Open AI Agent, and under Add Option choose System Message. Type what your assistant used to be told.
  4. Save and open the chat from the button at the bottom of the canvas.
  5. Test the memory: in a first message, tell the agent your name. In a second, ask what your name is. Then ask it to work out
    something like 1234 * 5678 to see the Calculator.

How a run goes

  1. Chat Trigger takes the message. Make Chat Publicly Available is on, and Load Previous Session is set to From Memory,
    so the chat window can show earlier messages.
  2. Chat Memory Manager reads the stored messages from Window Buffer Memory. Aggregate puts them into one messages
    list.
  3. AI Agent gets a text made of that history under "Our Previous Conversation" and the new message under "Current
    message". It answers with OpenAI Chat Model, and may call Calculator.
  4. Chat Memory Manager1 adds your message and the agent's answer to the memory.
  5. Limit keeps one item. Edit Fields sets output to the agent's answer, which the chat window shows.

Window Buffer Memory (Simple Memory 1.1) keeps the last 20 interactions. Its key is the chat's session ID with 123 added.

Change the look

  • The model: Model in OpenAI Chat Model.
  • The agent's instructions: System Message in AI Agent.
  • How much it remembers: Context Window Length in Window Buffer Memory, 20 as it stands.
  • More tools: connect other tool nodes to AI Agent, beside Calculator.
  • Who can chat: switch Make Chat Publicly Available off in Chat Trigger.

Good to know

  • The Assistants API is gone from OpenAI. Mindket's copy uses the agent and chat model nodes instead, so the old
    OpenAI Assistant node and its assistant ID are not part of it.
  • OpenAI's page, read on 12 November 2026, also gives 11 December 2026 as the shutdown of gpt-5-mini, which an
    OpenAI Chat Model node of this version picks when no model is set. The file sets gpt-5.6-terra.
  • Make Chat Publicly Available is on. Once the workflow is active, anyone with the chat address can talk to the agent on your key.
  • Simple Memory stores in n8n's own memory. n8n's node says it does not suit queue mode or several main instances, and its
    code clears a session after an hour without a message.
  • On a session's first message the memory is empty, so the history in the prompt reads undefined for both sides.
  • Chat Memory Manager1 is version 1, which returns every stored message as an item. Limit is there so the chat gets one
    reply.
  • Each message is sent to OpenAI together with up to 20 earlier interactions.
Files
NOTICE.md  630 B
README.md  4 KB
workflow.json  8 KB

3 files, 13 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

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