Networking

Interconnector

The bridge between your devices. Guaardvark's Interconnector allows you to link multiple local instances on your network to synchronize files, share AI models, and broadcast autonomous learnings — all with zero dependency on cloud infrastructure.

Multi-Machine Coordination

While Guaardvark is powerful as a standalone application, it truly excels when deployed as a distributed network. The Interconnector is the foundational protocol that links these nodes together. It enables a family of local Guaardvark instances to work as a single, coordinated system, sharing resources and knowledge across your local network without ever leaking data to the public internet.

Synchronization is handled through a secure Master-Client architecture. You can designate one machine (perhaps a powerful workstation with a high-end GPU) as the master node, and connect other devices (like laptops, Raspberry Pis, or edge servers) as clients. The Interconnector then manages the secure flow of state, ensuring that your project files, custom rules, and model configurations are consistent across your entire fleet.

Seamless File and Document Sync

The Interconnector provides a robust Local Sync Engine that monitors your project directories for changes. When you upload a document on your primary workstation, it can be automatically pushed to your other connected devices. This ensures that your RAG Search indexes are always up to date, regardless of which machine you are currently using to chat with your AI. The sync process is peer-to-peer over your local network, maximizing speed and maintaining complete privacy.

Broadcast of Autonomous Learnings

The most advanced feature of the Interconnector is the Learning Broadcast. When a Guaardvark instance running the Self-Improvement Engine identifies and fixes a bug in its codebase, it validates the patch and then broadcasts that "learning" to every other node in the network. This allows your entire fleet of devices to benefit from the autonomous improvements discovered by any single machine, creating a self-healing and self-optimizing infrastructure.

Key Networking Capabilities

File Sync

Push and pull files between Guaardvark instances on your local network. Documents, images, and generated content stay synchronized.

Model Sharing

Share downloaded AI models across devices. Download once on your fastest machine, distribute to your fleet.

Update Broadcast

When the Self-Improvement Engine patches a bug, the fix is broadcast to all connected instances automatically.

Zero Cloud

All synchronization happens over your local network. No cloud relay, no external servers, no data leaving your premises.

LAN-Only Network Sync
Auto Update Broadcast
0 Cloud Dependencies

Build Your AI Network

Link devices, share models, and keep your fleet synchronized — all on your own network.

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