Multi-Team Progress Across Federated Infrastructure and AI Agricultural Platform

Louisville, KY — February 27, 2026

The Network Theory Applied Research Institute (NTARI) today announced coordinated progress across multiple development teams working on its community-owned technology stack, including advances in federated network infrastructure and the entry of its Agrinet agricultural coordination platform into the artificial intelligence training phase.

Federation Layer Stabilization — Boulder, CO

Engineering contributors based in Boulder, Colorado have resolved critical API propagation issues in NTARI's federation layer and strengthened user management logic to prevent duplicate identity creation across distributed nodes. The updated implementation now preserves full timestamp records, improving auditability and synchronization reliability across the network.

Following stability challenges encountered during bidirectional node synchronization testing with a local DynamoDB instance, the Boulder team has made a strategic decision to migrate to PostgreSQL, deployed as a local Docker container. The move is expected to reduce corruption risks during testing and simplify long-term maintenance. Open-source caching services are under evaluation to replace previously managed features. NTARI's coordinating staff confirmed that computational resources are available to support the migration as needed.

Sorocaba, Brazil Node — Limited Development Continues

NTARI's node in Sorocaba, Brazil remains active in backend development, with contributors working to connect core services to the federation infrastructure. However, the node is currently operating under financial constraints that limit the pace of development. NTARI is asking the public to support the Sorocaba node directly. Those wishing to contribute may donate at ntari.org with the note SOROCABA to ensure funds are directed to keeping this node operational and moving forward.

Agrinet AI Training Phase — Distributed US Team

NTARI's Agrinet AI team, distributed across the United States, has entered the model training phase of its agricultural coordination platform. The team is currently curating a comprehensive training dataset drawing from globally recognized sources including the Food and Agriculture Organization (FAO) and the USDA. The dataset spans a wide range of agricultural domains — including pest management, water management, soil nutrition, composting methods, supply chain carbon analysis, and livestock nutrition — with the goal of supporting diverse agricultural contexts worldwide.

A defining feature of Agrinet is its Janus-Facing Architecture, which enables a single platform to serve producers, consumers, and intermediary suppliers simultaneously. Rather than maintaining separate applications for each user type, Agrinet uses a unified, transparent network layer. An AI assistant will guide users through complex transaction types, proactively helping them identify and package the appropriate request for the network.

Compliance considerations — including USDA and FDA regulations and state-level cottage food laws — are being integrated into the platform's design from the outset. To support food safety at the local level, the team is building in access to regional agricultural extension offices. The team is also exploring annual AI retraining cycles to keep the model current and is implementing strategies to minimize hallucination in high-stakes advisory contexts.

The Agrinet AI team anticipates completing initial data preprocessing and beginning model fine-tuning within the next one to two weeks.

Open Source and Open to Volunteers

The entire Agrinet platform is being developed as fully open-source software under AGPL-3 licensing, with active instances in development across North America and South America. NTARI continues to welcome international volunteers. Those interested in contributing may visit ntari.org or reach out through the project's public channels.

About NTARI: The Network Theory Applied Research Institute is a 501(c)(3) nonprofit developing open-source, cooperatively governed technology infrastructure as community-owned alternatives to extractive platform economies. Learn more and donate at ntari.org.