## Content

High Dimensional Research announced that Nolita, their autonomous navigation stack, is undergoing reconstruction with a fresh Python codebase centered on "preliminary navigation planning and hierarchical agent delegation."

### Northern Little Italy

The redesign emerged during Memory Index development. The organization prioritizes delivering extensible experiences for developers while avoiding proprietary black-box solutions. They advocate for treating models as "relatively agnostic slots within a stack, where you can use weaker or stronger models for the task as necessary."

### Previous Architecture

The original Nolita system employed a monolithic agent approach:

1. Users provide an objective and starting URL
2. The system loops between itself and an LLM, progressing through pages
3. The Memory Index substitutes similar historical actions when applicable

### New Architecture: Navigation Hivemind

Rather than one agent, the redesigned system features three high-level agents and over a dozen low-level agents managed by an orchestrator:

- **Planning Agent:** Maintains strategic direction
- **Execution Agent:** Manages browser functions through specialized sub-agents
- **Evaluation Agent:** Assesses progress

"We no longer have to pass a full DOM tree analysis into context; we can preprocess it" with dedicated processing, potentially leveraging the Index for element analysis.

### Why Python?

The team discovered superior orchestration capabilities in Python and found developers predominantly integrate Nolita within Python environments. The legacy TypeScript version will remain available with reduced functionality.

### Preview

The new version is currently in private testing with design partners. Interested developers should contact Tynan at [tynan.daly@hdr.is](mailto:tynan.daly@hdr.is).