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Show HN: Superfast – Cognitive Memory Graphs for Enterprise AI Agents
Superfast is an evolution of the Superpowers agent framework, now integrated with FastMemory—a concurrent Rust engine that maps unstructured text into a CBFDAE (Component, Block, Function, Data, Access, Event) functional ontology.<p>While RAG has become the standard for "adding knowledge" to LLMs, it often fails at scale due to semantic noise and the destruction of logical boundaries during chunking. Superfast treats memory as an architectural layer. It utilizes Louvain community detection to mathematically derive functional clusters, giving agents a deterministic "Logic Layer" that persists across sessions.<p>We’ve maintained the strict TDD and Socratic discipline of the original framework but scaled it for environments like Microsoft Fabric and AWS Glue where "token waste" is a primary bottleneck.<p>Check it out here: <a href="https://github.com/FastBuilderAI/superfast" rel="nofollow">https://github.com/FastBuilderAI/superfast</a>
Superfast presents a highly sophisticated technical solution to the 'RAG noise' problem by implementing a Rust-based functional ontology and graph-theory-driven memory, which is a critical need for enterprise AI agents. However, the score is tempered by a lack of visible commercial traction, funding history, and specific team credentials beyond their engineering philosophy.