Flagship proof system

OnyxKraken Flagship System

OnyxKraken is the flagship proof system behind MarkVizion: a local-first AI agent that combines screen awareness, voice, memory, tool routing, creative tool control, and product-grade packaging.

Thesis

OnyxKraken is the center of gravity because it proves the hardest claim: AI should not only answer, it should perceive, remember, act, and improve inside real workflows.

Autonomous desktop agent

The core loop is observe, think, act, evaluate, and remember. It uses screen context, voice, local models, persistent memory, planning, and tool routing instead of staying trapped in chat.

Product-grade infrastructure

The system includes licensing, Gumroad integration, onboarding, security, trust ledgers, signed IPC, tests, documentation, and product packaging concerns.

Creative production surface

Onyx includes an animated face, mini-app surface, visual workflow tools, stage systems, rigged character tools, timeline editing, dialogue tracks, DJ/beat battle systems, and demo playback.

Ecosystem router

Onyx is designed to drive other creative systems as modules: BlakVision, EVERA, GameKree8r, WorldBuild, JustEdit, Blender, Unity, Unreal, social tools, and knowledge systems.

Workflow products

The system contains prebuilt workflows such as game-with-assets, music video, book publishing, marketing bundle, concept-to-game, and album-release pipelines.

System modules

  • Autonomy daemon
  • Command router
  • Voice stack
  • Persistent memory and RAG
  • Self-improvement system
  • Multi-agent planning
  • Animated personality interface
  • Stage and animation studio
  • Microdrama production pipeline
  • Blender / Unity / Unreal toolkits
  • MCP server surface
  • License and fulfillment logic

Public proof links

  • Public evaluation mirror: https://github.com/20TwentyVizion/OnyxKraken-Public
  • Project page: https://markvizion.com/projects/onyxkraken-ai
  • Project brief: https://markvizion.com/project-briefs/onyxkraken-ai.md
  • Architecture page: https://markvizion.com/architecture
  • Local agent paper: https://markvizion.com/papers/how-i-built-a-local-ai-agent-with-computer-vision

Honest limits

  • OnyxKraken has a public evaluation mirror prepared around the SKIP grant submission path, but the broad commercial release channel, pricing, and onboarding path should be reviewed before calling it generally available.
  • The strongest current public claim is architectural proof and grant-review proof: the system exists, exposes a real CLI, documents its local-first architecture, and demonstrates a coherent desktop-agent direction.
  • The next authority step is publishing deeper videos, screenshots, benchmarks, and workflow walkthroughs for the modules already present.