An open source AI personal tutor powered by Llama 3.1 70B.
Build your own AI tutor web app using Llama 3.1 70B and Together AI.
Llamatutor is an open source AI personal tutor built for the web. It is designed for developers and educators looking to deploy a customized learning assistant using Meta's large language models.
The application runs on Next.js with Tailwind CSS, integrating Together AI for LLM inference with Llama 3.1 70B. It uses Exa.js for search capabilities and Helicone for observability during tutoring sessions.
It suits developers and educators comfortable with API keys and environment configuration. It does not suit non-technical users looking for a plug-and-play hosted classroom app without setup.
Powered by Meta's large language model for advanced tutoring interactions.
Uses Together AI to handle fast and scalable LLM responses.
Integrates Exa.js to pull live search data into tutor sessions.
Tracks LLM calls and performance using built-in Helicone integration.
The software is free to run under its repository code, but you will incur usage costs for the required third-party API services like Together AI, Exa, and Helicone.
767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
These reviewed AI tools do the same job instantly — from our scored directory.
It uses Meta's Llama 3.1 70B model hosted through Together AI.
Yes, you need to create accounts and provide API keys for Together AI, Exa, and Helicone.
See Zekai first in Google