Nexus / Hermes
A local environment for testing agents, knowledge workflows, and the operating boundaries that make AI work inspectable.
The idea
The experiment is moving from isolated prompts toward an environment that can preserve context, assign work, expose state, accept correction, and keep a human approval boundary where it matters.
Agents need an operating environment
Nexus is where local model serving, retrieval, transcription, task routing, and named agent roles meet. Scout, Librarian, and Forge are not personas for their own sake; they are experiments in separating responsibilities and making work easier to inspect and hand off.
Memory without flattening the person
A recurring design question is how an assistant can learn context and preferences while remaining its own tool—and while preserving source material, provenance, correction, and user control. The knowledge workflow is treated as infrastructure, not magic memory.
Useful before autonomous
The lab favors small, observable workflows over broad claims of autonomy: capture a conversation, preserve the raw record, create a restrained draft, expose the transformation, and require approval before it enters the system of record.
What this work demonstrates
Evidence, not a capability list.
- Local model and retrieval infrastructure
- Role-bounded agent experiments
- Source-preserving transcription and distillation
- Inspectable artifacts and human approval gates
- Privacy and data-sovereignty constraints
Public boundary
This is an active research environment, not a finished product or a claim of production autonomy. Public material focuses on design questions and operating principles.