GraphBit

GraphBit is a framework designed for building and running AI agents, specifically for enterprise and regulated environments. It gives developers control over the entire agent lifecycle, from defining rules and connecting to data sources to executing tasks and monitoring results. The core promise is to make autonomous AI systems faster, more reliable, and easier to manage at scale, while keeping them secure and auditable.

What sets GraphBit apart is its focus on compliance and performance from the ground up. Its architecture is built around seven layers—including interfaces, configuration, models, tools, memory, orchestration, and infrastructure—that work together to enforce behavior and governance. It uses a high-performance Rust engine, which the company claims makes it significantly more efficient in CPU and memory usage than alternatives like LangChain. A key differentiator is its design alignment with regulations like the EU AI Act, embedding requirements for traceability, human oversight, and transparency directly into the platform's execution layer.

This tool is for teams that need to deploy AI agents where performance, security, and regulatory compliance are non-negotiable. It's suited for use cases in finance, professional services, healthcare, or any sector where AI workflows must be predictable, auditable, and run within strict data boundaries. Developers can use it to create agents that interact with APIs and databases, persist context across sessions, and operate in on-premise or private cloud environments with full control.