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Support & Community

Get help, connect with other users, and stay updated with OmniDaemon.

πŸ’¬ Community Support (Free)

GitHub Discussions

Best for: General questions, sharing ideas, community help Visit Discussions β†’ Categories:
  • Q&A - Ask questions, get answers from the community
  • Show and Tell - Share your OmniDaemon projects
  • Ideas - Suggest new features or improvements
  • General - Everything else
Tips for getting help:
  • βœ… Search existing discussions first
  • βœ… Provide code examples
  • βœ… Include error messages/tracebacks
  • βœ… Mention your environment (Python version, OS)

GitHub Issues

Best for: Bug reports, feature requests Report Bug β†’ When to use:
  • Found a bug? Report it!
  • Missing a feature? Request it!
  • Have a concrete improvement? Suggest it!
Not for:
  • General β€œhow-to” questions (use Discussions)
  • Support requests (use Discussions)
  • Debugging your code (use Discussions)

Discord (Coming Soon!)

Best for: Real-time chat, quick questions Channels:
  • #general - General discussion
  • #help - Get help from community
  • #showcase - Show off your projects
  • #announcements - Updates and releases

πŸ“– Self-Service Resources

Documentation

Official Documentation: https://abiorh001.github.io/OmniDaemon/ Key Sections:

README

Project README: https://github.com/omnirexflora-labs/OmniDaemon/blob/main/README.md The README contains:
  • Installation instructions
  • Quick start guide
  • Core concepts overview
  • Configuration examples
  • Common patterns
  • Troubleshooting tips

Examples

Working Code Examples: https://github.com/omnirexflora-labs/OmniDaemon/tree/main/examples Available examples:
  • OmniCore Agent - MCP tools, memory routing
  • Google ADK Agent - Gemini integration
  • Publisher - Publishing events
  • Multi-Agent - Running multiple agents

πŸŽ“ Learning Resources

Tutorials (Coming Soon)

  • Getting started with OmniDaemon
  • Building your first AI agent
  • Multi-agent orchestration
  • Production deployment guide

Blog Posts (Coming Soon)

Stay tuned for deep dives on:
  • Event-driven AI architecture
  • Scaling AI agents in production
  • Best practices for enterprise deployment

Video Tutorials (Coming Soon)

  • Quick start walkthrough
  • Building production-ready agents
  • Monitoring and debugging

🏒 Enterprise Support

For businesses requiring dedicated support:

What’s Included

  • βœ… Dedicated Slack Channel - Direct line to maintainers
  • βœ… Priority Bug Fixes - Your issues get top priority
  • βœ… Architecture Consulting - Help designing your system
  • βœ… Custom Integrations - Build custom event bus/storage backends
  • βœ… SLA Guarantees - Guaranteed response times
  • βœ… Training Workshops - Onboard your team
  • βœ… Code Review - Review your OmniDaemon implementation
  • βœ… Migration Assistance - Help migrating from other systems

Pricing

Contact us for custom enterprise support packages. Contact: mintify.com

πŸ› Reporting Issues

Before Reporting

  1. Search existing issues - Your issue may already be reported
  2. Try latest version - Bug might already be fixed
  3. Minimal reproduction - Create smallest code that reproduces the bug

Bug Report Template

Use this template when reporting bugs:
Environment
  • OmniDaemon version: 0.1.0
  • Python version: 3.11.5
  • OS: Ubuntu 22.04
  • Event bus: Redis 7.0
Traceback
Alternatives Other solutions you’ve considered. Additional Context Any other relevant information.