Dify vs Langflow vs FastGPT

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-22
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionDifyLangflow
Pricingfreemium · from Sandbox $0freemium · from Open Source $0
Best forProduct and platform teams shipping RAG support or knowledge assistants, Teams that need self-hosted or VPC deployment with SSO, RBAC and audit logsMulti-person teams that need a shared, readable view of an AI pipeline, Teams building RAG and agent workflows who want an API endpoint without a custom serving layer
Standout featuresVisual drag-and-drop Workflow Studio with a visible node-and-branch execution path · Agent builder that creates agents by chat, generates reusable skills and keeps conversation context · Knowledge Pipeline for ingesting files, websites, online documents and drivesVisual drag-and-drop canvas for AI agent and RAG flows · Python under the hood for customizing any component · Deploy flows as APIs on self-hosted or cloud infrastructure
Viability score81/10081/100
APIYesYes

Dify is the stronger pick for product and platform teams shipping rag support or knowledge assistants; Langflow fits better for multi-person teams that need a shared, readable view of an ai pipeline.

Built from live tool data, last verified 2026-10-22.

Dify
Dify

Dify is an open-source visual builder for agentic workflows and RAG pipelines, deployable on cloud, VPC, or self-hosted Docker.

Visit Website
Langflow
Langflow

Visual low-code canvas for building AI agents, RAG pipelines, and MCP servers, deployable as an API or self-hosted.

Visit Website
FastGPT
FastGPT

FastGPT is an open-source RAG platform and visual AI agent builder you can self-host, with SSO, RBAC, and LLM auditing.

Visit Website
Pricing
Freemium
Freemium
Freemium
Plans
$0
$590 per workspace / year
$1590 per workspace / year
$0
Usage-based
¥0/month
¥99/month
¥599/month
Custom
Popularity
3.2k views
3.4k views
4.7k views
Skill Level
Beginner-friendly
Intermediate
Intermediate
API Available
Platforms
WebAPI
WebDesktopAPI
WebAPI
Categories
🤖 Automation & Agents📦 LLM App Frameworks & SDKs🕸️ Agent Frameworks & Orchestration
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration📦 LLM App Frameworks & SDKs
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration❓ Document Q&A & Summarizing
Features
Visual drag-and-drop Workflow Studio with a visible node-and-branch execution path
Agent builder that creates agents by chat, generates reusable skills and keeps conversation context
Knowledge Pipeline for ingesting files, websites, online documents and drives
Extract, clean, chunk, index and test retrieval before connecting a knowledge base
Multi-LLM support for OpenAI, Anthropic, Gemini, xAI and Tongyi, or bring your own API key
Marketplace for model providers, tools, data sources and MCP integrations
Publish apps as hosted web apps, API endpoints, embeds or MCP-compatible tools
Human-in-the-loop input nodes inside workflow logic
Observability with logs, feedback, annotations, latency and usage data
Webhook, plugin and schedule triggers to auto-start workflows
Self-host Community Edition with a single Docker command (158K+ GitHub stars)
Helm chart for Kubernetes deployments on Dify Enterprise
Sonilo integration generating licensed music and sound effects for video workflows
Message credits for trying models, switchable to your own API key when used up
SSO/SAML, RBAC and audit logs on Dify Enterprise
Visual drag-and-drop canvas for AI agent and RAG flows
Python under the hood for customizing any component
Deploy flows as APIs on self-hosted or cloud infrastructure
Run a single agent or a fleet of agents with components as tools
Human-in-the-Loop checkpoints that pause a flow for approval before a sensitive action (1.11)
A2A protocol support for agent-to-agent communication (1.11)
AG-UI streaming for the Workflow API (1.11)
OpenTelemetry OTLP export for flow runs and service health, without shipping prompts or completions (1.12)
Desktop app for offline development (1.11 and 1.12 builds)
Hundreds of pre-built flows and components
MCP server building and deployment
Configurable model, vector database, and tool components
Model parameter controls on canvas (temperature, response length)
Seven-language UI
Visual AI agent workflow builder with block-stacking, no-code assembly
Hybrid vector + keyword retrieval to reduce hallucination
Knowledge base auto-cleansing and live data sync
LLM lifecycle governance with debugging and auditing
Integrate any model via API proxy (Sealos AI Proxy)
SSO and RBAC for a secure enterprise portal
Cloud, self-hosted, and private deployment options
Embedded AI sales assistant with real-time answers and scripts
AI sales role-play training with performance scoring
Smart ticket routing that reads text and images
Intelligent resume screening with match scoring
Expense reimbursement review with anomaly flagging
Financial market report generation from templates with charts
Rich API ecosystem for workflow integration
Multi-language interface (English, Chinese, Japanese, Arabic, Vietnamese, Thai, Indonesian, Malay)
Integrations
OpenAI
Anthropic
Google Gemini
xAI
Tongyi
Weaviate
Qdrant
Slack
Notion
GitHub
Sonilo
Airbyte
Azure
Bing
Composio
Confluence
Couchbase
Github
Glean
Gmail
Google Cloud
Google Drive
Groq
Hugging Face
Mistral
MongoDB
NVIDIA
Ollama
Perplexity
Pinecone
Tavily
Sealos AI Proxy

What real users say: Dify vs Langflow

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Dify

62 mentions across 5 sources · 54% positive — mixed (averaged across 5 sources)

Hacker News, YouTube, Stack Overflow, GitHub, Lemmy

What users praise

  • • Visual drag-and-drop builder speeds up AI workflow creation
  • • Multi-LLM support covers major providers like OpenAI, Anthropic, and DeepSeek
  • • Built-in RAG pipeline simplifies knowledge ingestion and retrieval
  • • Human-in-the-loop nodes allow manual review and control

What frustrates them

  • • Upgrade bugs have broken existing knowledge bases (e.g., 1.9.1→1.9.2)
  • • Supply chain incident (React2Shell) raises security concerns
  • • Complex workflow design can have a steep learning curve
  • • Confusion with n8n for automation use cases

Researched Aug 15, 2026

Langflow

65 mentions across 7 sources · 54% positive — mixed (averaged across 7 sources)

Reddit, Hacker News, YouTube, Product Hunt, Stack Overflow, GitHub, Lemmy

What users praise

  • • Visual drag-and-drop builder accelerates prototyping of AI workflows.
  • • Deep Python integration allows code customization under the hood.
  • • Huge active community: 152k GitHub stars and 979 open issues.
  • • Desktop app offers offline development with all OSS features.

What frustrates them

  • • Critical security flaws repeatedly exploited for ransomware attacks.
  • • CISA added multiple CVEs to KEV, undermining production trust.
  • • Bugs inherited from langchain-community cause node failures.
  • • Async queries can be very slow, up to 30 seconds per request.

Researched Aug 5, 2026

Frequently Asked Questions

Which is better, Dify or Langflow?

The best choice between Dify and Langflow depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Dify and Langflow?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Dify or Langflow?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

More Dify or Langflow comparisons

Explore each tool further

Browse these categories

Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: April 21, 2026