flowgram.ai
★ 8.5k
vs
Flowise
★ 55.5k
flowgram.ai vs Flowise
flowgram.ai: FlowGram is a versatile framework and toolkit designed for building AI workflow platforms with composable, visual, and extensible capabilities. It provides essential tools like a flow canvas, node configuration forms, and variable scope management to simplify and accelerate AI application development.; Flowise: Flowise is an open-source low-code tool for building custom AI agents and LLM applications. It provides a drag-and-drop UI to easily construct complex AI workflows visually.
01
TL;DR
flowgram.aiWorkflow Automation · ★ 8.5k
Building AI Agent Development Platforms (e.g., Coze Studio)
FlowiseWorkflow Automation · ★ 55.5k
When to choose:
- You want an intuitive visual drag-and-drop canvas for building LangChain/LlamaIndex agents, multi-agent workflows, and RAG pipelines without code.
- You need an embeddable chat widget, API endpoints, and a low-code UI for rapid AI application prototyping.
When to skip:
- You need a long-term actively maintained project; the Flowise repository was archived in August 2026 and reached end-of-life.
- You require code-first, type-safe Python orchestration with deterministic checkpointing; Pydantic AI or Temporal are better choices.
02
Side-by-Side Comparison
Field
Category
Workflow Automation
Workflow Automation
Stars
★ 8.5k
★ 55.5k
License
MIT
NOASSERTION
Install Command
npx @flowgram.ai/create-app@latest
npm install -g flowise
Updated
5d ago
2mo ago
Open Source
Yes
Yes
Tags
Workflow Automation, AI Development, Visual Programming
AI Agents, Visual Programming, LLM
03
Features
01Free Layout Canvas for flexible node placement
02Fixed Layout Canvas with support for compound nodes
03Robust Form Engine for node data CRUD operations, validation, and linkages
04Variable Engine for scope constraints, structure inspection, and type inference
05Extensible Architecture for custom workflow and node development
01Visual drag-and-drop interface for building AI agents and LLM apps.
02Supports a wide range of LLMs, embeddings, and tools through component integrations.
03Enables low-code/no-code development for rapid AI application creation.
04Flexible self-hosting options across various cloud providers and platforms.
05Modular architecture with distinct server, UI, and component packages.
04
Use Cases
↳Building AI Agent Development Platforms (e.g., Coze Studio)
↳Developing Workflow-based Multi-platform AI Deployment Tools (e.g., NNDeploy)
↳Creating Visual Workflow for System Management (e.g., SSL Certificate Management with Certimate)
↳Rapidly prototyping and developing LLM-powered applications.
↳Creating custom AI chatbots and conversational interfaces.
↳Integrating advanced AI capabilities into existing software systems.
05
Best For
EssentialTrending
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FAQ
FAQ
What is the difference between flowgram.ai and Flowise?
Both flowgram.ai and Flowise are in the Workflow Automation category. flowgram.ai has 8.5k stars, while Flowise has 55.5k stars.
Which is better, flowgram.ai or Flowise?
The best choice depends on your use case. Choose flowgram.ai if Building AI Agent Development Platforms (e.g., Coze Studio), and Flowise if Rapidly prototyping and developing LLM-powered applications..
Is flowgram.ai free or open source?
Yes, flowgram.ai is open source on GitHub (MIT).
Is Flowise free or open source?
Yes, Flowise is open source on GitHub (NOASSERTION).
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