Jen is the operational and documentation hub for MetaDyn's metaverse systems.
This repository serves as the control-plane workspace for:
- architecture documentation
- infrastructure documentation
- AI orchestration notes
- platform/system runbooks
- environment standards and operating conventions
MetaDyn — short for Metaverse Dynamix — is a metaverse builder creating both the connective fabric across platforms and the immersive spaces that run on it.
MetaDyn is both:
- MetaDyn, LLC, registered in Missouri, United States
- a vibrant open-source-oriented builder community centered primarily around Discord
Its work serves:
- brands
- enterprises
- creators
The broader mission spans:
- identity across platforms
- persistent presence across digital environments
- immersive spaces across multiple runtimes
- advanced AI avatars on multiple platforms
- unified, persistent memory across experiences and systems
MetaDyn brings more than 20 years of cumulative experience, with especially heavy metaverse-platform work over the last 3 years, including substantial work on Spatial.io and its Unity toolkit. Spatial is no longer a strong fit for MetaDyn or its clients, so MetaDyn is building a next-generation alternative.
Jen runs on OpenClaw using GPT Codex 5.4 and acts as the main orchestrator for this environment.
Current infrastructure is hybrid and distributed across:
- on-premise systems
- cloud infrastructure
- multiple VPS/providers
- primarily AWS for hosted immersive experiences
Hosted experience platforms currently include:
- Unity WebGL
- ThreeJS
- Hyperfy immersive spaces
docs/architecture/— system concepts, orchestration, and high-level designdocs/company/— company identity, mission, and top-level positioningdocs/company/positioning.md— canonical positioning drafts and mission language
docs/infrastructure/— hosting, topology, environments, and deployment surfacesdocs/platforms/— platform-specific implementation notesdocs/platforms/unity6/— MetaDyn Unity 6 platform documentation
docs/ai-systems/— Jen, OpenClaw, Codex, memory, and orchestration docsdocs/ai-systems/agent-orchestration-and-remote-subagents.md— Jen control-plane model and proposed remote subagent API contractdocs/ai-systems/remote-subagent-api-layer.md— detailed remote subagent API layer spec with sample requests and reference code
docs/runbooks/— operational procedures and setup guidesdocs/runbooks/local-static-demo-server.md— workaround for serving LAN-accessible static demos when gateway approvals fail
docs/standards/— naming, conventions, security, and documentation practices
This repo should contain curated documentation, safe operational context, and automation helpers.
Do not commit:
- credentials
- secrets
- API keys
- tokens
- raw sensitive operational data unless intentionally sanitized