Task mAIstro

Task mAIstro allows you to track your ToDos through natural conversation:

Tell it about yourself
Tell it tasks you need to complete
Update tasks easily through conversation
Ask task mAIstro what to to next

Task mAIstro combines an agent with long-term memory to produce a highly personalized task management experience. All information can be stored locally using the LangGraph Studio Desktop App or it can be deployed to LangGraph Platform.

Key Features

Natural Language Interface

Create and update tasks through natural conversation
No need to learn specific commands or syntax
Just chat with the assistant as you would with a human

Smart Memory System

Task mAIstro maintains three types of memory:

ToDo List
- Tasks with descriptions
- Estimated completion times
- Deadlines
- Actionable solutions
- Status tracking
User Profile
- Remembers personal details
- Tracks preferences
- Maintains context about your life and work
Update Instructions
- Learns how you prefer tasks to be managed
- Adapts to your organizational style
- Maintains your preferences for task updates

Quickstart

You can deploy the app locally with the LangGraph Studio Desktop App or to LangGraph Cloud.

Locally

Populate the .env file with your OPENAI_API_KEY key:

cp .env.example .env

Download the LangGraph Studio desktop app for Mac here.

Load this repository as a project in LangGraph Studio.

Start chatting with the task mAIstro!

LangGraph Cloud

In your LangSmith account, create a new deployment with this repository's main branch.

Set your OPENAI_API_KEY as a secret when creating the deployment.

Interact with the deployment through the LangGraph Studio web UI.

Use the ntbk/connecting_to_graph.ipynb notebook to interact with the deployed graph via .

Audio UX

See the ntbk/audio_ux.ipynb notebook for an example of how to add an audio interface to your graph.

Learning More

See Module 5 of our LangChain Academy Course on LangGraph to learn how to build this app from scratch!

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