FlowiseAI vs Vellum

Side-by-side comparison · Updated April 2026

 FlowiseAIFlowiseAIVellumVellum
DescriptionFlowise is a powerful open-source low-code tool designed for developers to build customized Large Language Model (LLM) orchestration flows and AI agents. With Flowise, developers can easily extend and integrate LLM capabilities through APIs, SDKs, and embedded options while allowing for self-hosting on cloud platforms like AWS, Azure, and GCP. The tool boasts a strong developer-friendly environment with features such as Chatflow, LLM Orchestration, and over 100 integrations. Flowise is also backed by a supportive open-source community, making it an ideal choice for rapid development and deployment of LLM applications.Vellum Workflows is a powerful platform that allows users to quickly prototype and deploy sophisticated AI applications. It enables chaining of business logic, data, APIs, and dynamic prompts to create various AI-driven use cases such as chatbots, summarizations, content generation, and information extraction. The platform provides resources like case studies, guides, and model comparisons, ensuring users can bring LLM-powered features to production securely and efficiently.
CategoryAI AssistantAI Assistant
RatingNo reviewsNo reviews
PricingN/AFree
Starting PriceN/AFree
Plans
  • GrowthFree
  • ProFree
  • EnterpriseFree
Use Cases
  • e-commerce businesses
  • content creators
  • database administrators
  • customer support teams
  • Business Owners
  • Content Creators
  • Researchers
  • Tech Startups
Tags
low-codedeveloperscustomized LLM orchestration flowsAI agentsAPIs
AIworkflowsbusiness logicdataAPIs
Features
Open-source low-code tool
Support for self-hosting on AWS, Azure, and GCP
Over 100 integrations including Langchain and LlamaIndex
Chatflow and LLM Orchestration
APIs, SDKs, and Embedded Chat functionalities
Support for air-gapped environments with local LLMs
Developer-friendly with easy extensions
Strong open-source community
Autonomous agent creation
Rapid development and deployment capabilities
Chaining of business logic with data and APIs
Dynamic prompt handling
Support for multiple AI models
Custom model integrations
Priority support with SLAs
Role-Based Access Control (RBAC)
Single Sign-On (SSO)
Virtual Private Cloud (VPC) installations
Case studies and guides
Free tools and resources
 View FlowiseAIView Vellum

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