<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> DIO Agent provides a personalized AI mentor for users learning on the Digital Innovation One (DIO) platform. It assists with study planning, unblocking technical challenges without revealing solutions, and explaining concepts. Designed for DIO students, it offers an accessible AI tutor to enhance learning clarity and efficiency.

How It Works

The project implements an AI agent, capable of planning and executing steps to achieve user goals, interacting through a 'harness' program (e.g., Google Antigravity, Claude Code). The agent's core definition, personality, and knowledge of DIO's learning formats are contained within the AGENTS.md file, an open standard compatible with various modern harnesses. This design enables a consistent AI tutoring experience across different execution environments.

Quick Start & Requirements

1. Install Harness: Choose and install a compatible harness. Recommended: Google Antigravity (https://antigravity.google/docs). Alternatives: Claude Code (https://docs.claude.com/en/docs/claude-code), Codex, OpenCode, Hermes. Follow harness documentation.
2. Obtain DIO Agent: Clone (git clone https://github.com/digitalinnovationone/dio-agent.git) or download ZIP from GitHub.
3. Load Agent: Open the dio-agent folder within your harness; it reads AGENTS.md automatically.

• Prerequisites: Compatible AI agent harness.
• Links: Google Antigravity Docs: https://antigravity.google/docs; Claude Code Docs: https://docs.claude.com/en/docs/claude-code; GitHub Repo: https://github.com/digitalinnovationone/dio-agent.git.

Highlighted Details

• Specialized AI mentor familiar with DIO's learning ecosystem (Bootcamps, Formations, challenges).
• Offers three core skills: generating study plans, guiding through challenges without direct answers, and explaining concepts with analogies.
• Features a harness-agnostic architecture based on the open AGENTS.md standard.

Maintenance & Community

The README lacks specific details on maintainers, community channels (Discord, Slack), sponsorships, or a roadmap. Users should periodically update the repository for improvements.

Licensing & Compatibility

The README does not specify a software license. This absence is a significant caveat for potential adoption, particularly concerning commercial use or integration into closed-source projects.

Limitations & Caveats

The primary adoption blocker is the lack of explicit licensing information. Functionality depends on successful installation and configuration of a compatible AI agent harness. The project requires users to keep the local repository updated for ongoing improvements.