GraphBit

GraphBit, developed by InfinitiBit (ISO/IEC 27001:2022 certified, TISAX-assessed for automotive security), is an agentic AI framework built with a Rust performance engine and Python/TypeScript bindings, aimed at running autonomous AI agents efficiently at enterprise scale. Its seven-layer architecture separates interfaces, configuration, models, tools, memory, orchestration, and infrastructure, with EU AI Act compliance and governance controls (traceability, human oversight gates, technical documentation) built into the execution layer rather than added afterward. Multi-model support lets vendors be swapped without breaking existing agent workflows. Independent benchmarks the company cites show 14x better CPU usage and 13x better memory efficiency than LangChain, with a 0.176% error rate. Production use at Grant Thornton in a regulated environment, along with Product Hunt recognition, are concrete adoption signals; specific pricing isn't published on the homepage. Good fit for an enterprise, particularly in a regulated industry, that needs agentic AI infrastructure with EU AI Act compliance and governance controls built in from the start rather than retrofitted.