GraphBit
GraphBit is an enterprise-grade AI agent framework that combines Rust's performance with Python's ease of use, offering high-speed, secure, and scalable LLM workflows for production environments.
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Product Information
Updated:Sep 19, 2025
What is GraphBit
GraphBit is a declarative framework designed for building reliable AI agent workflows, developed with a Rust core and Python bindings. It serves as an intelligent layer that connects, processes, and orchestrates data flow across entire tech stacks. The framework is specifically built for enterprise-scale applications, focusing on security, scalability, and reliability as its core principles. It supports integration with various LLM providers including OpenAI, Anthropic, and Ollama, making it a versatile solution for building production-ready AI applications.
Key Features of GraphBit
GraphBit is an enterprise-grade LLM framework that combines Rust's performance with Python's ease of use. It features a high-performance core built in Rust with Python bindings, enabling developers to build reliable AI agent workflows with strong type safety, comprehensive error handling, and predictable performance. The framework excels in multi-agent orchestration, offers real-time observability, and ensures minimal CPU and memory usage while maintaining production-ready capabilities for enterprise environments.
Hybrid Architecture: Built with a Rust core for performance and safety, while providing Python bindings for developer-friendly interface and easy integration
Multi-LLM Orchestration: Enables reliable management and coordination of multiple AI agents working in parallel with persistent memory across steps
Enterprise-Grade Security & Scalability: Features atomic reference counting, crash resilience, and real-time observability for production environments
Resource Efficiency: Achieves minimal CPU overhead and memory usage, performing up to 14x more efficiently than competing frameworks
Use Cases of GraphBit
Enterprise AI Deployment: Enables large organizations to deploy and manage multiple AI agents in production environments with high reliability and performance
Complex Workflow Automation: Handles sophisticated AI workflows involving multiple LLMs and agents working together in business processes
Edge Computing Applications: Supports deployment in low-resource edge scenarios due to its lightweight and resource-efficient architecture
Pros
Superior performance with minimal resource usage
Enterprise-ready features including observability and resilience
Strong type safety and comprehensive error handling
Cons
Requires knowledge of both Python and Rust for advanced customization
May be overly complex for simple AI applications
How to Use GraphBit
Install Dependencies: Install GraphBit and its dependencies following the installation guide in the documentation. GraphBit requires both Rust and Python environments since it uses Rust core with Python bindings.
Import GraphBit: Import the GraphBit framework in your Python project. The framework provides a rich Python API for building and integrating agentic workflows.
Configure Workflow: Set up your AI agent workflow using GraphBit's declarative framework. Define workflows, agents, and nodes according to your use case requirements.
Set Up Integrations: Connect GraphBit with your desired services and tools. GraphBit supports integration with various services like AWS, Gemini, Hugging Face, MongoDB, PostgreSQL, and Redis.
Implement Error Handling: Utilize GraphBit's built-in reliability features including circuit breakers, retries, and comprehensive error handling to ensure robust performance.
Test Workflow: Run the Quick Start Tutorial provided in the documentation to build your first workflow in 5 minutes and test basic functionality.
Monitor Performance: Use GraphBit's built-in observability features to monitor CPU usage, memory consumption, and throughput of your AI agent workflows.
Scale Production: Deploy your GraphBit application to production, leveraging its enterprise-grade features for stability, scalability, and low resource usage.
GraphBit FAQs
GraphBit is an enterprise-grade Agentic AI framework built with a Rust core and Python wrapper. It's designed for building reliable AI agent workflows with strong type safety, comprehensive error handling, and predictable performance.
GraphBit Video
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