Now in Private Beta

AI Orchestration Where Humans Are First-Class Citizens

The open core platform for building AI workflows with native human-in-the-loop architecture. MIT-licensed Community Edition.

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What is AICtrlNet?

AICtrlNet is an AI orchestration platform that treats humans and AI as equal workflow participants. Build approval flows, review queues, and collaborative AI processes—not just automated pipelines.

Key Capabilities
Human-in-the-Loop Native
Approval nodes, review queues, and escalation paths built into the core architecture.
Multi-Framework Support
LangChain, AutoGPT, CrewAI, AutoGen, Semantic Kernel—use what works for you.
Protocol Support
MCP, A2A, and 27+ adapters for AI services, databases, CRMs, and platform integrations.
Visual + Code
Build workflows visually with the drag-and-drop builder or programmatically via Python SDK and REST API.
AI Governance
Audit trails, bias detection, and explainability reports. Built for regulated industries.
Open Core
MIT-licensed Community Edition. Genuine open source with commercial Business and Enterprise tiers.
Editions
Community
Free · MIT License
Core workflow engine, human-in-the-loop, visual builder, 5 AI frameworks, basic adapters. Self-hosted.
Business
From $599/mo
All 27 adapters, industry packs, advanced governance, bias detection, analytics. Cloud or self-hosted.
Enterprise
Custom pricing
Multi-tenancy, SSO/SAML, federation, on-premise deployment, dedicated support, custom SLA.
Compare Editions
Get Started
Up and running in seconds
$ docker pull bodaty/aictrlnet-community
$ docker run -p 8000:8000 bodaty/aictrlnet-community
# Open http://localhost:8000
Full Documentation
Community
Join developers building human-AI workflows
Contribute to the open source platform, share workflow templates, and help shape the roadmap.
GitHub Discussions Community Page

Join the Private Beta

Be among the first to build AI workflows where humans are first-class citizens.

Founded by AI patent holder with 20+ years enterprise software experience
Background Infogix (Precisely), Protiviti, SPSS (IBM)