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NEAR AI Learning Hub

Welcome to the NEAR AI Learning Hub! This repository is your comprehensive resource for exploring, developing, and deploying AI Agents in decentralized environments using NEAR AI.

Powered by the Blockchain Acceleration Foundation (BAF).

Table of Contents

  1. Overview
  2. Repository Structure
  3. Resources
  4. Contributing
  5. Get in Touch

Overview

NEAR AI enables scalable, decentralized AI systems where agents can communicate, store data, and run in secure, trust-minimized environments. Here, you’ll find conceptual guides, tutorials, cookbook examples, and Notebooks that provide both the “why” and the “how” of building AI Agents on NEAR.

Repository Structure

📦 near-ai-learning-hub/
├── 📖 conceptual-guides/      # In-depth articles explaining core AI Agent concepts
│   ├── what-is-an-ai-agent.md
│   ├── llm-inference.md
│   └── message-storage-agent.md
│
├── 📚 tutorials/              # Step-by-step guides for building AI Agents
│   ├── getting-started-with-near-ai.md
│   └── message-storage-agent.md
│
├── 🍳 cookbook-examples/      # Practical AI Agent implementations
│   ├── building-multi-agent-communication/
│   └── integrating-apis-with-near-ai/
│
├── 📓 notebooks/              # Interactive Jupyter Notebooks with AI Agent demos
│   └── ai-agent-example.ipynb
│
└── README.md               # You are here!

Resources

  • Delve into the theory behind AI Agents and LLM inference in the conceptual-guides/ folder.
  • Check out the tutorials/ folder for detailed walkthroughs.
  • Explore the cookbook-examples/ folder for practical AI Agent use cases.
  • Try the notebooks/ folder to follow along with live demos of AI Agents in action.

(Stay tuned for additional resources and articles on platforms like Medium and Dev.to.)

Contributing

We welcome contributions from the community! If you’d like to add your own tutorials, improve the existing documentation, or showcase a new use case, feel free to:

  • Fork the repository
  • Create a new branch
  • Submit a pull request

Your contributions help expand and refine the ecosystem of NEAR AI resources.

Additional Context & Resources

  1. NEAR AI Docs & Quickstart

    • NEAR AI Docs: https://docs.near.ai/
      Explore the official NEAR AI documentation for a comprehensive overview of agent architecture, best practices, and integration details.
    • Quickstart Guide: https://docs.near.ai/agents/quickstart/
      A step-by-step guide to quickly set up and test your AI Agents on NEAR.

  2. NEAR Protocol Rewards Program

    • NEAR Protocol Rewards Repository
      An incentive program designed for developer retention post-hackathon or event, providing extended opportunities within the NEAR ecosystem.

Get in Touch

NEAR AI Social

  • Twitter: @near_ai
    Follow for the latest news, updates, and community highlights.

Blockchain Acceleration Foundation (BAF)

  • Twitter: @TheBAFNetwork
    Stay updated on BAF events, educational programs, and opportunities.
  • LinkedIn: BAF
    Connect with the BAF network for professional insights and collaborations.
  • Website: blockchainacceleration.org
    Learn more about BAF initiatives, partnerships, and how to get involved.

Happy Building! 🛠️