0x1
**Data Analytics · AI Governance · Agent Orchestration · Local/Cloud AI
Building and using 0x1 — Orchestra Unified, an AI-governed work orchestration platform that manages AI agents (1-10 cloud agents verified + local agents), verifies their output, and maintains a tamper-evident audit trail. 6,400+ Python modules, 14,310 commits, ~299K chained events.
My daily development driver. Contributions or any dev goes through my own System.
Where 0x1 sits in the layers
-Model Provider (API)- -Agent-Harness (hermes-agent, openclaw) ; IDE (soon called agent runtime) like Claude Code, Cursor, Codex, Devin et al.- -0x1 uses the above and others to achieve the operators Vision, goal and tasks- -OS (Mac, Linux et al.)- -Hardware-
Modular. Only take what you need. Made for continuous self improvement, loves hermes-agent wink wink Being fully your own Operator and developer (fully customizable) OS might be coming next year depending on recources Extensible
- Orchestrating AI work across cloud and local — I am working hard to migrate 50-90% of all wort to the local execution layer which is bootstrapping on AMD Strix Halo (128 GB unified memory)
- Multi-node setup: macOS + Linux over private mesh + Nvidia GPU Goal: multi node, hardware independent mesh networks able to utilize and manage recource pools efficiently and productiveley
- Source code is private — showcase here
| Project | What it does
| 0x1-showcase | AI-governed work orchestration platform. Includes absorbed modules: agent harness (hermes-agent), communication platform (buzz), a couple of inference servers i will soon start to list em all up shout out to Carlo
| 0x1(https://github.com/AIandI0x1/0x1-Main-mirror) | The actual project early dev (coding) started two years ago, real full dev began September 2025, 0x1 as a vision and idea is 10+ years old now with AI i can finally accelerate development This month we will update to the next Version with major changes (August 2026), multi agent orchestration framework fully auditable, early alpha, Agent GOV; Authority, Synthetic Brain framework. State machine. Next steps: Fully Synthetic Brain APP (Dont fear the brain naming these are labels to boost coherence but can be chosen by the dev at will), Goal: Semi-autonomous AI factory driven by human in the loop. Continuoous self-improvement. Goal: Deploy a humanoid robot driven by 0x1 (preferably Unitree) EOY 2027
Ported inference optimization tools to Strix Halo with documented evidence:
| Project | What was done |
|---|---|
| Hyperloom | GPU type detection for gfx1151, llama.cpp framework adapter, 135 tests passing |
| Magpie | Benchmark scripts for Strix Halo, TraceLens validation, hardware-agnostic trace analysis |
| GEAK | RDNA 3.5 hardware knowledge, Triton and HIP kernel verification, wave32/wave64 guidance |
All three verified on hardware: _autodetect_gpu_type() = 'strix-halo'
- One step at a time.



