Support & Community
Get help, connect with other users, and stay updated with OmniDaemon.π¬ 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
- β Search existing discussions first
- β Provide code examples
- β Include error messages/tracebacks
- β 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!
- General βhow-toβ 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
π Self-Service Resources
Documentation
Official Documentation: https://abiorh001.github.io/OmniDaemon/ Key Sections:- Quick Start - Get up and running in 10 minutes
- Core Concepts - Understand the architecture
- Examples - Complete working code
- API Reference - Full SDK documentation
- CLI Reference - Command-line tools
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
π 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
π’ Enterprise Support
For businesses requiring dedicated support:Whatβs Included
- β Dedicated Slack Channel - Direct line to maintainers
- β Priority Bug Fixes - Your issues get top priority
- β Architecture Consulting - Help designing your system
- β Custom Integrations - Build custom event bus/storage backends
- β SLA Guarantees - Guaranteed response times
- β Training Workshops - Onboard your team
- β Code Review - Review your OmniDaemon implementation
- β Migration Assistance - Help migrating from other systems
Pricing
Contact us for custom enterprise support packages. Contact: mintify.comπ Reporting Issues
Before Reporting
- Search existing issues - Your issue may already be reported
- Try latest version - Bug might already be fixed
- Minimal reproduction - Create smallest code that reproduces the bug
Bug Report Template
Use this template when reporting bugs:- OmniDaemon version: 0.1.0
- Python version: 3.11.5
- OS: Ubuntu 22.04
- Event bus: Redis 7.0