Graphbit

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GraphBit is an AI Agents & Automation tool that provides an enterprise-grade agentic AI framework. Built on Rust with a Python wrapper, it offers unmatched speed, security, and scalability for multi-agent workflows.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is graphbit?

GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a Python wrapper for unmatched speed, security, and scalability. It enables reliable multi-agent workflows with minimal CPU and memory usage, making it production-ready for real-world enterprise environments. GraphBit is designed for developers who need deterministic, concurrent, and ultra-efficient AI execution without the overhead. It powers multi-agent workflows that run in parallel, persist memory across steps, self-recover from failures, and ensure 100% task reliability. Key features include tool selection, type safety, multi-LLM support, resource management, and observability.

Best used for

Ideal for developers and data scientists who need to build production-grade multi-agent systems, ensure type-safe execution, and orchestrate real-time hybrid AI applications. Especially valuable for scaling beyond prototypes and achieving runtime determinism with minimal resource overhead.

Common actions

build AI agents

orchestrate multi-agent workflows

deploy AI systems

manage AI resources

monitor AI performance

github copilot"AI Agents"automated workflowlow-code/no-codedeepfakecollaborationworkflowsopen-sourceface swapping

Capabilities

Key features

Rust core
Python wrapper
Multi-agent workflows
Minimal resource usage
Multi-LLM support
Type safety
Observability

Target Audience

developerdata scientiststartup founder

Integrations

openaianthropicazuredeepseektogetherollamaopenrouterfireworks+ 26 more

Pricing & Plans

Open Source

Free

FAQs

What are the primary performance benefits of using GraphBit?

GraphBit offers significant performance gains due to its Rust core, achieving up to 68x lower CPU usage and 140x lower memory footprint compared to other frameworks. It maintains equal or greater throughput, making it highly efficient for production workloads.

Which LLM providers does GraphBit support?

GraphBit supports a wide range of LLM providers including OpenAI, Anthropic, Azure OpenAI, DeepSeek, Together, Ollama, OpenRouter, Fireworks, Mistral AI, Replicate, Perplexity, HuggingFace, AI21, Bytedance, and xAI, offering flexibility for various AI models.

Can GraphBit handle multi-agent workflows with fault recovery?

Yes, GraphBit is designed for reliable multi-agent workflows. It includes features like circuit breakers, retry policies, error handling, and fault recovery mechanisms to ensure 100% task reliability and self-recovery from failures in production environments.

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