# NeighborhoodOS

> NeighborhoodOS helps communities own AI capacity, share context, and solve real problems together.

NeighborhoodOS is a civic AI system for community-governed access, shared local context, and practical problem-solving. The first pilot is Waldo in Kansas City, Missouri.

## Public architecture

- **Education, training, & problem solving** - the public front door. Residents learn AI, bring stuck local problems, and build small useful tools with human review.
- **Public data, federated governance, neighborhood assets tracking and memory** - the shared working memory. It gathers civic sources, local resource maps, meeting notes, open commitments, and provenance so people and agents can understand what is happening.
- **Hardware/local AI infrastructure, shared tools & resources** - the local capacity layer. It includes trusted spaces, shared tools, training, operating agreements, and community-governed AI capacity.

## Current pilot: Waldo

WaldoNet was the prototype name. Waldo is the current pilot frame. NeighborhoodOS is the broader model.

The 90-day pilot shape:

1. Three Learn sessions for practical AI literacy, safety, privacy, scams, bias, and verification.
2. Two Solve clinics where residents and organizations turn real problems into briefs, source lists, and next actions.
3. Two Build sessions for small useful tools such as guides, trackers, intake forms, and resource maps.
4. One public-data and memory seed from public civic data and Waldo resource data.

## Public-data and memory source direction

The shared memory layer should begin with sources that can be fetched, linked, and checked:

- Kansas City 311 requests
- permits
- crime reports
- property violations
- dangerous buildings
- budget expenditures and revenue
- vendor payments
- zoning, council agendas, votes, and commitments where available
- county and state records that affect Waldo
- Waldo resources and assets: associations, libraries, schools, churches, clinics, nonprofits, mutual aid, makerspaces, and trusted local businesses

If data is live, say so. If a feed is not parsed yet, link to the public source. Do not invent freshness.

## Safety boundaries

Do not frame NeighborhoodOS as predictive policing, a people database, resident dossiers, protest monitoring, private social scraping, sensitive case management, or outbound automated civic decision-making. The system should support human review and community benefit.

Use **community-governed access** unless full community ownership is actually established.

## Public URLs

- Home: https://neighborhoodos.org/
- Waldo local dashboard: https://neighborhoodos.org/local/
- Pilot alias: https://neighborhoodos.org/pilot/
- Source: https://github.com/simonlpaige/neighborhoodos

## Contact

Simon Paige, pilot lead.