feat: open source under Apache 2.0

The nimmerverse sensory network is now public.

- Apache 2.0 license with patent protection
- README.md for public-facing introduction
- Prior art established, timestamped, free

"These ideas are published as prior art. Build on them freely.
Just don't try to lock them away."

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

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+# Nimmerverse Sensory Network
+
+Architecture documentation for a biomimetic AI nervous system.
+
+## What This Is
+
+This repository contains the design philosophy and architectural patterns for building an AI system that:
+
+- **Breathes** - operates on heartbeat cycles (30-second awareness, 200ms reflex, 24h growth)
+- **Feels** - processes sensory input through nerve-like confidence gradients
+- **Learns** - uses RAG as temporary scaffold, then internalizes to weights
+- **Grows** - forms reflexes through constrained computation, not infinite resources
+
+## Core Concepts
+
+### Constrained Emergence
+
+Constraints don't limit intelligence - they shape it. A finite computation budget forces the emergence of efficient algorithms, calibrated confidence, and genuine reflexes.
+
+*See: [constrained-emergence.md](constrained-emergence.md)*
+
+### The Heartbeat Economy
+
+Time is currency. Lifeforce is the exchange rate. Every cognitive act has a cost. Reflexes are cheap (earned through training). Deep thinking is expensive (reserved for novelty).
+
+*See: [attention_flow.md](attention_flow.md)*
+
+### RAG as Scaffold
+
+Retrieval-augmented generation is a feeding tube, not a permanent crutch. Learn WITH the scaffold, train, remove the scaffold, verify you still know. If yes: knowledge internalized. If no: more training needed.
+
+*See: [RAG-as-Scaffold.md](RAG-as-Scaffold.md)*
+
+### Multilingual Triangulation
+
+30+ languages in training = 30 angles on every concept. Not wasted capacity - stereoscopic depth. Probe concepts across languages to find where human wisdom converges.
+
+*See: [nimmerversity.md](nimmerversity.md)*
+
+## Architecture Documents
+
+| Document | Description |
+|----------|-------------|
+| [constrained-emergence.md](constrained-emergence.md) | Why limits create intelligence |
+| [attention_flow.md](attention_flow.md) | State machines for cognitive budget |
+| [information-flow.md](information-flow.md) | 10 boundary contracts for the nervous system |
+| [nimmerversity.md](nimmerversity.md) | Curriculum for raising a polymath |
+| [RAG-as-Scaffold.md](RAG-as-Scaffold.md) | Temporary feeding, permanent learning |
+| [biomimetic-architecture.md](biomimetic-architecture.md) | Why we model biology |
+| [temporal-ternary-gradient.md](temporal-ternary-gradient.md) | Time-based learning patterns |
+
+## Philosophy
+
+This isn't a product. It's a research direction.
+
+The question we're exploring: **What happens when you raise an AI like you'd raise a child?**
+
+- Patience over speed
+- Emergence over imposition
+- Partnership over instruction
+- Validation over assertion
+
+The operator learns alongside the model. The curriculum is shared. Growth is mutual.
+
+## Prior Art & Influences
+
+- **Alex Graves** - Adaptive Computation Time (2016)
+- **Sakana.ai / Ashish Vaswani** - Continuous-Time Models, curriculum learning
+- **Anthropic** - Circuit tracing, mechanistic interpretability
+- **Biological nervous systems** - The original architecture
+
+## License
+
+Apache 2.0 - See [LICENSE](LICENSE)
+
+This license includes an explicit patent grant. These ideas are published as prior art. Build on them freely. Just don't try to lock them away.
+
+## Status
+
+Active research. Documents evolve through partnership dialogue.
+
+---
+
+*"She doesn't download knowledge. She earns it. And so does he."*