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Self-taught. Self-funded. Self-improving — just like the systems I build.
I build autonomous AI systems that improve themselves — sovereign infrastructure that runs entirely on local hardware, evolves nightly, and answers to no cloud provider, no institution, and no gatekeeping API.
No team. No funding. No shortcuts.
Just architecture, compounding work, and a home GPU cluster that never sleeps.
"The infrastructure doesn't care about credentials. Neither do I."
This isn't a collection of projects. It's one unified system.
┌─────────────────────────────────────────────────────────────────┐
│ SOVEREIGN CORE │
│ Heterogeneous Compute Gateway :8000 │
│ Routes intelligence across 3 processors │
├──────────────────┬──────────────────┬───────────────────────────┤
│ RTX 5050 │ Radeon 780M │ Ryzen 7 CPU │
│ 8GB VRAM │ 4GB VRAM │ Fallback │
│ Qwen2.5 │ DeepSeek-Coder │ Llama / Mistral │
│ :8001 │ :8002 │ :8003 │
└──────────────────┴──────────────────┴───────────────────────────┘
│ │ │
└────────────────┼────────────────────┘
│
┌─────────────▼─────────────┐
│ KAIROS / SAGE │
│ Self-Improvement Engine │
│ 10 live cycles / night │
│ Proposer→Critic→ │
│ Verifier→Meta-Agent │
└─────────────┬─────────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
┌────▼────┐ ┌─────▼─────┐ ┌─────▼──────┐
│ DGM │ │HyperAgents│ │contentai │
│ Darwin │ │Self-refer.│ │ -pro │
│ Gödel │ │ Swarm │ │8-platform │
│ Machine │ │ │ │ engine │
└─────────┘ └───────────┘ └────────────┘
│ │ │
└───────────────────┼───────────────────┘
│
┌─────────────▼─────────────┐
│ Honcho │
│ Mission Control UI │
│ Live GPU · KAIROS Viz │
│ Swarm Nexus · LatentLog │
└───────────────────────────┘
Every repo is a node. The system is the point.
| Project | What It Does | Stack |
|---|---|---|
| sovereign-core | Central hub — GPU gateway, KAIROS SAGE loop, WebSocket event bus, metrics | Python · FastAPI |
| DGM | Darwin Gödel Machine — AI agent that evolves its own source code | Python |
| HyperAgents | Self-referential agents that rewrite themselves to optimize for any task | Python |
| Honcho | Mission control dashboard — live GPU health, KAIROS score viz, voice interface | TypeScript · React |
| contentai-pro | Multi-agent content engine with adversarial debate, DNA fingerprinting, 8-platform output | Python · FastAPI · Docker |
| Termux-Intelligent-Assistant | AI-embedded Android terminal agent — works fully offline | Python |
While I sleep, the system doesn't.
03:00 AM ──► KAIROS fires
10 live ARSO cycles on RTX 5050
Proposer generates improvement proposals
Critic reviews · Verifier checks logic
Best proposals archived as stepping stones
Every 3 cycles: Meta-Agent rewrites the rules
04:00 AM ──► 13-Amplifier Training Engine
Memory expansion · Adversarial drills
Concept synthesis · Goal calibration
Sub-agent stress tests · Ghost Protocol training
Cross-domain transfer · Identity verification
Before/after logged to persistent memory
Total: ~3,650 live improvement cycles per year
Compounding nightly. No days off.
Most AI systems are static. You use them the same way in year one as in year five.
I build systems that compound.
Inspired by two ideas:
- Darwin — keep good solutions, build on them, improve generation by generation
- Gödel — a system powerful enough can reason about itself and rewrite itself to be better
Put those together and you get infrastructure that evolves itself, using itself, every single night.
I'm not trying to build the smartest system today.
I'm building the one that gets smarter fastest over time.
terry_lee = {
"location": "Douglasville, GA",
"approach": "self-taught, systems-first, local-first",
"languages": ["Python", "TypeScript", "GhostScript*"], # *custom-built
"hardware": ["RTX 5050 (8GB)", "Radeon 780M (4GB)", "Ryzen 7 CPU"],
"philosophy": "sovereign infrastructure — no cloud dependency, no gatekeepers",
"building": "autonomous AI that improves itself while I sleep",
"status": "compounding daily",
}Self-taught. Self-funded. Self-improving — just like the systems I build.
- Gateway live on TatorTot — first real KAIROS inference cycles
- DGM stepping stones feeding the KAIROS archive
- Honcho dashboard fully connected to live system
- GhostScript async/await — concurrent agent execution
- GH05T3 designing her own training agenda autonomously
- Sovereign stack fully wired across 5 repos
- KAIROS SAGE loop — 4-agent co-evolution implemented
- Heterogeneous compute gateway — 3-processor routing
- Custom AI-native programming language (GhostScript)
- Nightly 13-amplifier training engine running
The work exists. Now you can see it.
leerobber · Douglasville, GA · Building in the dark since before it was obvious