Frequently Asked Questions

General

What is DaemonCore?

DaemonCore is a deterministic foundation for multi-agent intelligence. It provides the structural layer that enables multiple AI agents to operate with precision, coordination, and safety.

Is DaemonCore an AI model?

No. DaemonCore is not an AI model or assistant. It’s an orchestration and governance layer that AI models (like Claude, GPT, Gemini) operate within. Think of it as the operating system for multi-agent workflows.

What problems does DaemonCore solve?

Technical

What’s a Kernel in DaemonCore?

The kernel is the core specification layer. It defines:

The kernel is declarative configuration, not executable code.

How does boot sequence work?

Agents follow a strict 9-phase boot sequence:

  1. Kernel load
  2. Identity handshake
  3. Environment reporting
  4. Profile application
  5. Global context load
  6. Vendor persona load
  7. Project boot
  8. Session resume
  9. Modulation (optional)

Each phase must complete before the next begins.

What’s the difference between Sandbox, Controlled, and Dangerous modes?

Can I use DaemonCore with my own AI models?

Yes. DaemonCore’s vendor abstraction layer supports multiple AI providers. You define vendor-specific persona and init files, and the kernel handles the rest.

Development

Is DaemonCore open source?

The kernel specification is public. The public reference implementation is being prepared for long-term community use and will be published once that work is complete. Licensing and release timing have not yet been decided.

How do I contribute?

A public contribution process is not open yet. It will be introduced alongside the public reference implementation.

Where can I get help?