IntentForge — An intent-first discovery engine. Autonomous, self-healing search technology.
A privacy-first ecosystem with search, browser, download manager, productivity suite, and more.
Publications and research papers from Oxiverse Labs
RAVANA v2 is a cognitive architecture for building inherently alignable AGI by embedding constraint, self-regulation, and adaptation directly into its core design rather than applying safety after training. Built around the GRACE framework, it operates in two phases: a bounded, stable system with a “cognitive clamp” that prevents unsafe states, and an adaptive learning phase where updates are filtered through constraints to ensure safe behavior. By combining homeostatic regulation, intent-aware exploration, and continuous self-monitoring, RAVANA v2 achieves high alignment fidelity (94.7% on ARC) while remaining computationally efficient, demonstrating that safe, general intelligence can emerge from architecture-level design instead of external control.
IntentForge is a privacy-first, intent-driven search engine that routes queries through Tor to eliminate tracking while combining results from multiple engines to reduce bias. It classifies user intent to improve relevance, uses an ultra-efficient 48-byte vector index for fast in-memory search, and continuously improves through user feedback, reaching high-quality results within a few cycles, all while maintaining strong anonymity with only minor trade-offs in latency and cold-start performance.
