# GraphBit

> GraphBit is an open-source, Rust-core agentic AI framework wrapped in Python, built for enterprise-grade speed, security, and EU AI Act compliance.

GraphBit is an agentic AI framework developed by InfinitiBit, built on a Rust engine with Python and TypeScript bindings. It targets enterprises that need fast, secure, and compliant AI agent deployments, and is described by the vendor as patent-protected and ISO/IEC 27001:2022 certified. The project has a public GitHub repository and has been featured on Product Hunt.

## What It Is

GraphBit is an open-source agentic AI framework designed to give developers and enterprises fine-grained control over autonomous AI systems. Unlike general-purpose LLM orchestration libraries, GraphBit's core runtime is written in Rust for performance and memory efficiency, with Python and TypeScript bindings for developer accessibility. The framework is positioned as an enterprise-grade solution for building, operating, and governing AI agents in regulated production environments.

## Architecture: The 7-Layer Model

GraphBit organizes agentic AI execution into seven distinct layers, each addressing a specific concern:

- **Interfaces** — integrates into existing apps or powers custom AI interfaces with controlled actions
- **Configuration** — centrally defines policies, rules, and guardrails without changing application code
- **Models** — supports LLMs and multimodal models from multiple providers, with free model swapping
- **Tools & Actions** — connects AI to APIs, databases, and enterprise workflows under defined controls
- **Memory & State** — persists context and execution state for traceability and continuity
- **Orchestration** — controls task flow, branching, and execution order with deterministic workflows
- **Infrastructure** — supports on-premises, private cloud, or managed environments with data residency controls

## Performance and Efficiency Claims

The GraphBit homepage publishes benchmark comparisons against LangChain and Pydantic AI. According to vendor-published data, GraphBit uses 0.1% CPU versus LangChain's 1.41% and Pydantic AI's 1.06%, and 0.014 MB RAM versus LangChain's 0.176 MB. The vendor claims 92% better performance versus competitors and a 0.176% error rate, describing the engine as "ultra-efficient" and environmentally friendly. These figures are vendor-published and have not been independently verified by this directory.

## Compliance and Governance

GraphBit is designed to align with EU AI Act requirements at the infrastructure level. The vendor states that governance, traceability, and oversight are enforced by the platform itself rather than added through policy after deployment. Specific EU AI Act articles addressed include:

- **Article 12 (Traceability)** — immutable execution logs for auditability
- **Article 14 (Human Oversight)** — native approval gates to pause, review, or abort workflows
- **Article 11 (Technical Documentation)** — system manifests generated from live workflows
- **Article 50 (Transparency)** — machine-readable disclosures for AI-generated outputs

InfinitiBit holds ISO/IEC 27001:2022 certification and has completed a TISAX® assessment for automotive information security. The vendor states that Grant Thornton uses GraphBit for secure, governed agentic AI deployment.

## Open-Source Lineage and Current Status

GraphBit's GitHub repository is hosted under the InfinitiBit organization and the homepage describes it as "The World's First Open source Rust-core, Python-wrapped Enterprise Grade Agentic AI framework." The Product Hunt listing shows 536 upvotes. The platform is accessible via a hosted platform at platform.graphbit.ai, with documentation at docs.graphbit.ai. The pricing page and documentation pages on the marketing site appear to be placeholders as of the available data, with no detailed plan or doc content rendered.

## Features
- Rust-core engine with Python and TypeScript bindings
- 7-layer agentic AI architecture
- EU AI Act compliance enforcement by design
- Deterministic workflow orchestration
- Multi-provider LLM and multimodal model support
- Immutable execution logs for auditability
- Human-in-the-loop approval gates
- Centralized policy and guardrail configuration
- Memory and state persistence across workflows
- On-premises, private cloud, and managed deployment
- ISO/IEC 27001:2022 certified
- TISAX® assessed
- Patent-protected technology

## Integrations
LangChain (benchmark comparison), Pydantic AI (benchmark comparison), Enterprise APIs, Databases, LLM providers (multiple)

## Platforms
WEB, API, CLI, DEVELOPER_SDK

## Pricing
Open Source, Free tier available

## Links
- Website: https://www.graphbit.ai
- Documentation: https://docs.graphbit.ai/
- Repository: https://github.com/InfinitiBit/graphbit
- EveryDev.ai: https://www.everydev.ai/tools/graphbit