Learning & Contribution Path¶

Welcome to the Xians AI Platform development journey! Follow this structured path to become proficient in building AI agents and contributing to the platform.

Phase 1: Explore and Learn¶

Get Started with the Platform¶

• 1.1 Login to agentri.ai (hosted version of Xians.AI platform)
• 1.2 Join the existing tenant 99x and request admin approval
• 1.4 Review the complete documentation to understand how Xians.AI helps developers build AI Agent systems

Make Your First Contribution¶

• 1.5 Send a PR to the documentation repository to improve documentation

Phase 2: Setting Up Development Environment¶

• 2.1 Set up Xians Community Edition locally on your machine
• 2.2 Verify your local setup is working correctly

Phase 3: Agent Development¶

Build a few first agents and learn core concepts:

For example,

• Agent with tools, MCPs
• Agent with Custom Workflows (Scheduling, A2A Communication)
• Etc.

Phase 4: Platform Development¶

Contribute to the core platform:

Setup Core Repositories¶

• 5.1 Clone and set up the following repositories locally:
• XiansAi.Server
• XiansAi.UI
• XiansAi.Lib
• 5.2 Configure your existing agent development projects to use the local Lib and Server

Contribute to Platform¶

• 5.3 Make improvements to the platform repositories (e.g., unit tests, UI enhancements)
• 5.4 Test your changes thoroughly
• 5.5 Submit a Pull Request with your improvements

Join Platform Development¶

• 5.6 Review tasks in the XiansAI Platform project board. Pick up a task and contribute to platform development

Next Steps¶

After completing this learning path, you'll be ready to:

• Build production-ready AI agents
• Contribute to the Xians AI Platform
• Help others in their learning journey
• Design and implement complex multi-agent systems

Happy coding! 🚀