NeuroArch ● wip
a cognitive architecture that runs between prompts
NeuroArch is the cognitive-architecture direction of the lab: a system that doesn't just answer prompts but keeps reasoning when nobody is watching. Persistent memory, idle cognition, and beliefs that get revised over time.
Under the hood it's a market. Dozens of local models bid on cognitive work, and a router hands tasks to whoever's best for the job. Idle cycles aren't wasted — they go into research, belief recalibration, and a dream phase that crystallizes scattered notes into durable memory.
Where it honestly stands: the underlying agent substrate is already competent today — it reasons, routes, and uses tools well. NeuroArch is the architecture on top — the idle-cognition, belief-recalibration, and dream-crystallization cycles — which it doesn't yet fully run. The research is about giving a capable agent those background cycles and then measuring them, not building competence from scratch.
It's the closest thing I have to a system that's actually alive between conversations — and the next proof needed is to make those cycles measurable: memory growth, belief-revision traces, idle-cycle throughput.
// highlights
- Idle cognition — keeps reasoning when nobody is watching
- Semantic memory with sentence-transformer retrieval (RAG)
- A "cognitive market" routing work across 30+ local models
- Dream-cycle crystallization of long-term memory
- DuckDB analytics engine + action-outcome learning
// stack
- Python
- DuckDB
- Ollama
- sentence-transformers
- RAG