Current Operational Status & Validated System

This architecture is the result of rigorous applied R&D and iterative, test-driven development cycles. Our successful public launch and partner operations have validated all core components of the operational system. Our high-throughput, Rust-native ingestion pipelines actively process data from Twitter/X (v2 API), Farcaster (direct hub queries), and user-submitted archives; this data undergoes rigorous deduplication, structured tokenization, and versioning as per-agent snapshot datasets for training integrity.

The LLM fine-tuning pipeline, supporting models like OpenLLaMA and Mistral with PEFT, is fully operational, with training workloads containerized via Docker and orchestrated by our custom, Ray-based distributed computing framework. Deployed agents operate as isolated, containerized microservices, each with its own secure webhook endpoint and cron layer. Twitter/X, Discord, and Farcaster integrations are all production-live and fully operational. Our governance and upgrade layer is also fully functional: agent metadata is versioned on IPFS/Arweave, and configurations are governed by $A/ACC token-weighted voting via Snapshot-integrated contracts, all subject to stringent CI/CD processes with multi-signature approvals.