Show HN: GraphBit- Rust and Python framework for production-ready AI agents (graphbit.ai)

GraphBit is a newly announced open‑source framework for building production-ready AI agents that combines a Rust core with a Python wrapper to prioritize speed, reliability and enterprise scale. The project claims industry‑leading performance in real‑world benchmarks—better CPU efficiency, lower memory use and higher throughput for production workloads—while offering a clean Python API (example: LlmConfig.openai + LlmClient.complete calling gpt-3.5-turbo with max_tokens and temperature parameters). It’s positioned as an orchestration layer that connects to popular services and manages data flow across complex workflows. For the AI/ML community the significance is practical: Rust gives low-level performance and safety, Python provides developer ergonomics, and the framework is explicitly optimized for production issues (efficiency, security, scaling, integrations). That suggests lower operational cost and higher request throughput for hosted or on‑prem deployments, and easier composition of agents and connectors for enterprise pipelines. GraphBit also bundles docs, examples and enterprise support/demos—though its benchmark claims should be validated in your workload. If you need a performance‑focused agent runtime that integrates with existing LLMs (OpenAI shown) and infrastructure, GraphBit is worth evaluating.