“For an enterprise deployment, I would shortlist Haystack, LangGraph, Dify, n8n, Langflow, and Microsoft Agent Framework first.”
“Self-hosted Docker and Kubernetes deployments.”
“Visual workflow automation.”
“AI agent nodes and integrations.”
“Connects to internal enterprise applications and APIs.”
“Supports human approval steps.”
“Important: n8n uses a Sustainable Use License rather than a conventional OSI-approved open-source license.”
“CrewAI | Your own infrastructure | Multi-agent framework | Collaborative multi-agent systems”
“Multiple specialized agents collaborating”
“For an enterprise deployment, I would shortlist Haystack, LangGraph, Dify, n8n, Langflow, and Microsoft Agent Framework first.”
“Self-hosted Docker deployment.”
“Enterprise Kubernetes deployment.”
“Visual workflow and agent builder.”
“RAG and knowledge-base capabilities.”
“Supports multiple model providers.”
“Enterprise SSO, RBAC, and audit capabilities.”
“Check licensing and multi-tenancy requirements before adopting the community edition.”
“For an enterprise deployment, I would shortlist Haystack, LangGraph, Dify, n8n, Langflow, and Microsoft Agent Framework first.”
“Self-hosted deployment on your own infrastructure.”
“Kubernetes-based production deployments.”
“Stateful and durable agent execution.”
“Supports complex workflows, human approvals, and resumable processes.”
“You control the databases and model integrations.”
“One consideration: the full self-hosted LangGraph Platform offering has enterprise licensing requirements.”
“Infrastructure such as PostgreSQL and Redis is also your responsibility.”
“Pydantic AI | Type-safe Python agent development | Self-hosted”
“Type-safe Python agent development”
“For an enterprise deployment, I would shortlist Haystack, LangGraph, Dify, n8n, Langflow, and Microsoft Agent Framework first.”
“Supports private cloud and on-premises deployment.”
“Supports air-gapped environments.”
“Documents, pipelines, traces, and logs can remain within your infrastructure.”
“Supports models hosted within your own network.”
“Provides a visual builder and REST API.”
“For an enterprise deployment, I would shortlist Haystack, LangGraph, Dify, n8n, Langflow, and Microsoft Agent Framework first.”
“Docker and Kubernetes deployment.”
“Visual agent and RAG pipeline construction.”
“Python extensibility.”
“Custom integrations and components.”
“Can be deployed on private infrastructure.”
“For an enterprise deployment, I would shortlist Haystack, LangGraph, Dify, n8n, Langflow, and Microsoft Agent Framework first.”
“Self-hosted inside your own application or container infrastructure.”
“Supports Python and .NET.”
“Integrates with Microsoft technologies.”
“Supports agent-to-agent communication and MCP integrations.”
“You control application hosting, identity, authorization, and persistence.”
“It is a framework rather than a complete visual agent-management platform.”
“Some hosting packages are still prerelease, so check their production readiness.”
“Agno | Your own infrastructure | Agent framework | Lightweight Python agent applications”
“Lightweight, modular agent development”
“Semantic Kernel | Enterprise integrations and Microsoft ecosystem | Self-hosted”
“Enterprise integrations and Microsoft ecosystem”
“TrueFoundry – AI application deployment, model serving, and infrastructure management.”
“TrueFoundry – AI application deployment, model serving, and infrastructure management.”
“Northflank – BYOC deployment into your cloud environment.”
“Northflank – BYOC deployment into your cloud environment.”
“Qovery – Deploy and manage containerized applications on your own cloud infrastructure.”
“Qovery – Deploy and manage containerized applications on your own cloud infrastructure.”