Block 1 - Todoist Agent
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 1.7
This workflow is provided as-is. Please review and test before using in production.
Turn plain language chat like “Tomorrow 9 AM: write blog post” into neatly organised Todoist tasks with GPT 4o and n8n—zero code. Ultimate Personal Tod...
@n8n/n8n-nodes-langchain.agent, n8n-nodes-base.executeworkflowtrigger, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.toolworkflow, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.todoisttool, n8n-nodes-base.httprequesttool
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by maxique.
Original n8n.io sourceTurn plain-language chat like “Tomorrow 9 AM: write blog post” into neatly organised Todoist tasks with GPT-4o and n8n—zero code.
Turn natural-language requests into perfectly-organized Todoist tasks—all on autopilot inside n8n.
> “Add Finish quarterly report by Friday afternoon” → the agent creates the task, sets the due date & priority, and even drops it into the right project. ✨
| Credential | Where it’s used | How to set it up |
|---|---|---|
| OpenAI API | Orchestrator & LLM nodes | Paste your OpenAI secret key into an OpenAI credential in n8n. |
| Todoist OAuth2 | Todoist node and HTTP Request node | Log in Todoist from your browser to set up credential in n8n. |
> That’s it—no webhooks, no extra secrets. > Tested with gpt‑4o‑latest – the fastest & most accurate model in our trials.
message field (e.g. “Tomorrow at 9 am: write blog post”). Run → watch your new Todoist task appear.Boom—your personal Todoist genie is alive! 🧞♂️
[Trigger / Chat message]
│
▼
[🗂️ Orchestrator Agent] ← OpenAI Chat Model + Short‑term Memory
│ ↳ Parses intent & entities
│
▼
[🤖 Todoist Agent] ← 15+ Todoist endpoints
│ ↳ Executes the right call (create, update, complete, etc.)
▼
[Done ✅ ]
The Orchestrator is an example. In production you can drop it and simply expose the Todoist Agent as a tool for any other agent workflow.
| Idea | How to do it |
|---|---|
| Notion / Sheets sync | After the Todoist Agent node, add a Notion or Google Sheets node to log completed items. |
| Voice commands | Swap the chat trigger for a Speech‑to‑Text node (e.g. Whisper). |
Want me to build or tweak something for you? → Email [email protected] and let’s make it happen!
Pull requests welcome! 🙌
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.
Showing the first 24 of 35 workflow blocks. Download the JSON for the full node graph.
| Workflow | Natural language task management with Todoist and GPT-4o |
|---|---|
| Complexity | advanced |
| Nodes | 35 |
| Categories | Personal Productivity, AI Chatbot |
| Author | maxique |
| Published | 18 May 2025 |
Use the JSON export at /data/workflows/4186/4186.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.
Turn plain language chat like “Tomorrow 9 AM: write blog post” into neatly organised Todoist tasks with GPT 4o and n8n—zero code. Ultimate Personal Tod...
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.