GraphBit AI

An enterprise-grade agentic-AI and graph-visualization framework that lets teams orchestrate multi-agent workflows and explore interactive graphs—building auditable, debug-ready automation and data insights.

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graph data visualizationagentic AI orchestrationmulti-agent workflow engineDAG workflow builderknowledge graph analyticsRust Python bindings

Features of GraphBit AI

Interactive chart & network visualization with drag-and-drop CSV/JSON import and auto-layout

No-code visual analytics—community detection, path tracing, centrality & influence scoring

DAG-based workflow studio with branches, parallel steps and concurrent task control

Rich node palette: LLM calls, REST APIs, code blocks, conditionals, human-in-the-loop

Built-in state persistence and structured context schema for reproducible, auditable runs

Core engine in Rust with first-class Python & TypeScript bindings—speed plus DX

Low-code visual designer & debugger; plug-and-play with LangGraph, Gradio, etc.

GitHub sync (temp PR metadata & diff ingestion) plus team collaboration API

Start free in-browser; upgrade through tiered subscriptions built for teams

Use Cases of GraphBit AI

Turn complex ops into configurable agent workflows that run themselves

Explore social or relational data—spot communities, trace paths, measure influence

Curate and visualize knowledge graphs, citation networks or supply-chain maps

Investigate security incidents with interactive link analysis and provenance tracking

Prototype and ship multi-agent systems faster using Python/TypeScript SDKs

Deploy governed AI pipelines that satisfy auditors and keep full state history

Iterate quickly with visual low-code tools and real-time team feedback loops

FAQ about GraphBit AI

QWhat is GraphBit AI?

GraphBit AI is an enterprise platform for interactive graph analytics and agentic workflow orchestration, powered by a DAG engine that coordinates multiple AI agents.

QWhat are the core features?

Interactive graph visualization, DAG-based multi-agent orchestration, LLM/API/code/human nodes, state persistence, and a low-code visual debugger.

QWho should use it?

Data teams, engineers, product managers, and regulated enterprises that need governed, multi-step AI workflows or deep graph insights.

QHow can I try or buy it?

Click “Try GraphBit” for instant browser access or “Talk to Sales” on the website for enterprise pricing and onboarding.

QWhat does it cost?

Freemium model—free tier for individuals, scalable paid plans for teams; exact pricing is listed on the pricing page or via sales.

QHow is data handled?

Processing follows GDPR standards; data categories, retention, and sub-processors are detailed in the public privacy policy.

QDoes the GitHub integration store my code permanently?

No—PR metadata and diffs are processed temporarily; code is not permanently retained. See the integration docs for specifics.

QIs GraphBit AI compliant?

Designed for regulated environments with alignment to TISAX, ISO standards and the EU AI Act; certificates and attestations available on request.

QAre there performance limits?

Optimized for speed, yet very large graphs or high-concurrency workloads may require dedicated infrastructure. LLM routing in critical paths needs governance planning.

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