LINE Assistant with Google Calendar and Gmail Integration
14 nodes · agent, memoryBufferWindow, lmChatOpenAi, toolWikipedia, openAi, switch
- Engine
- n8n
- Nodes
- 14
- Trigger
- scheduled/triggered
- Source file
- 1538_HTTP_Googlecalendartool_Automation_Webhook.json
Workflow flow
Window Buffer Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Wikipedia
@n8n/n8n-nodes-langchain.toolWikipedia
Line Receiving
Webhook
Google Calendar Create
GoogleCalendarTool
Google Calendar Read
GoogleCalendarTool
Gmail Read
GmailTool
Switch Between Text and Others
Switch
AI Agent
@n8n/n8n-nodes-langchain.agent
OpenAI
@n8n/n8n-nodes-langchain.openAi
Error Handling from AI Response
Switch
Text Cleansing
Set
Line Answering (Error Case)
HTTP
Line Answering (Ordinary Case)
HTTP
14 steps · flows top to bottom, branches left to right
Browse by integration
Import into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows → Import from file.
- Open each node and reconnect credentials to your accounts.
- Test with manual execution before enabling triggers.
Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.
Overview
LINE Assistant with Google Calendar and Gmail Integration is a free n8n workflow on OpenRuna — 14 nodes connecting agent, memoryBufferWindow, lmChatOpenAi, toolWikipedia, openAi, switch, webhook, httpRequest. Download the JSON, view the flow diagram, and import it into your n8n instance.
What this workflow does
"LINE Assistant with Google Calendar and Gmail Integration" automates a agent-to-memoryBufferWindow flow in n8n across 14 nodes. 14 nodes · agent, memoryBufferWindow, lmChatOpenAi, toolWikipedia, openAi, switch Execution begins at the scheduled/triggered trigger and flows through the 14 configured nodes. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.
Use cases
- Benchmark it against your current agent integration to spot missing steps or redundant nodes.
- Fork it to add error handling, retries, or a notification step without designing the 14-node flow from scratch.
- Share it with your team as a documented reference for scheduled/triggered automations in the agent stack.
- Study how data moves from agent to memoryBufferWindow before building your own variant.
Example output
Imported into n8n, "LINE Assistant with Google Calendar and Gmail Integration" exposes 14 configured nodes. Trigger type: scheduled/triggered. Integrations: agent, memoryBufferWindow, lmChatOpenAi, toolWikipedia, openAi, switch, webhook, httpRequest. Set your credentials on the agent node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.
Tips by platform
Claude
Paste the exported JSON for "LINE Assistant with Google Calendar and Gmail Integration" into Claude and ask it to explain each of the 14 nodes. Claude is good at suggesting credential mappings for agent, memoryBufferWindow, lmChatOpenAi, toolWikipedia, openAi, switch, webhook, httpRequest, plus error-handling and idempotency improvements before you run it in production.
ChatGPT
Have ChatGPT generate a checklist for adapting "LINE Assistant with Google Calendar and Gmail Integration" to your accounts — which agent, memoryBufferWindow, lmChatOpenAi, toolWikipedia, openAi, switch, webhook, httpRequest credentials to create and which node parameters to change first.
Cursor
Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 14 nodes.
Frequently asked questions
- How do I import "LINE Assistant with Google Calendar and Gmail Integration" into n8n?
- Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
- Which integrations does "LINE Assistant with Google Calendar and Gmail Integration" use?
- It uses: agent, memoryBufferWindow, lmChatOpenAi, toolWikipedia, openAi, switch, webhook, httpRequest. The flow diagram above shows how each service connects across the 14 nodes. Filter OpenRuna by integration to find related workflows and tools.
- Can I import a sanitized export without credentials?
- Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own agent and memoryBufferWindow credentials in n8n after import.
- What trigger type does "LINE Assistant with Google Calendar and Gmail Integration" use?
- Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
- Is "LINE Assistant with Google Calendar and Gmail Integration" free to use?
- OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for agent, memoryBufferWindow, lmChatOpenAi, toolWikipedia, openAi, switch, webhook, httpRequest.
Related resources
- Agent
PraisonAI
24/7 AI employee team for automating complex challenges. Low-code multi-agent framework with handoffs, guardrails, memory, RAG, and 100+ LLM providers
- Agent
Prompt Optimizer
AI prompt optimization tool with multi-round iterative improvements, dual-mode optimization for system and user prompts, and multi-model support. Available as web app, desktop app, Chrome extension, and Docker deployment. AGPL-3.0 licensed
- Agent
Archon
Workflow engine for deterministic AI coding agents. Define development processes as YAML workflows (planning → implementation → validation → review → PR) with isolated Git worktrees for parallel execution. MIT licensed
- Agent
A2A Protocol
Agent2Agent (A2A) open protocol enabling communication and interoperability between opaque agentic applications. Donated to Linux Foundation by Google with 50+ technology partners. Apache 2.0 licensed
- Agent
CAMEL
First and best multi-agent framework for building scalable agent systems. Apache 2.0 licensed with extensive tooling for agent communication and task automation
- Agent
Neuron AI
PHP Agentic Framework for building production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. MIT licensed
- Agent
smolagents
Lightweight agent framework centered on tool use and code-executing workflows
- Agent
Supermemory
Memory API and app for AI agents that provides fast, scalable, context-aware storage and retrieval across projects. MIT licensed
