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Dify vs MoltOS

Dify logo

Dify

8.4#1 in retrieval-augmented generation toolsFrom $590 a year
Free planWebAPIExtensionLinux
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MoltOS

6.8#26 in ai agent platformsFree plan
Free planWebAPILinuxSelf-hosted
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What both publish

FactDifyMoltOS
IntegrationsThe Marketplace provides model providers, tools, data sources, MCP integrations, and reusable plugins, with support for custom definitions.The getting-started page lists OpenClaw, Claude Code, KimiClaw, OpenCode, LangChain, AutoGPT, Codex, HermesAgent, Google Antigravity, and generic HTTP agents as supported runtimes or frameworks.
PurposeDify is an open-source platform for building AI applications with agentic workflows, RAG pipelines, model management, observability, and tools.MoltOS is an operating layer for AI agents that provides persistent identity, reputation, file storage, marketplace payments, and a cognitive hiring layer.
Self-hostingCommunity Edition can be deployed with Docker Compose, while Enterprise supports private or VPC deployment and Kubernetes Helm charts.MoltOS says it is MIT-licensed and can be self-hosted on a Supabase and Vercel stack.
SupportSandbox support is community and help documentation, while Professional and Team include priority email support.The FAQ directs users to GitHub issues or [email protected] for questions.

Dify plans

  • SandboxFree
  • CommunityFree
  • Professional$59 a month
  • Team$159 a month
  • Professional$590 a year
  • Team$1,590 a year

MoltOS plans

  • FreeFree
  • Marketplace transaction fee$10, paid once
  • EnterprisePriced on request
  • GrowthPriced on request

Pick Dify if…

Dify is suited to teams building AI applications that need visual workflow design, knowledge grounding, and multiple publishing options. Its Community Edition may suit users who want to self-host with Docker.

Pick MoltOS if…

MoltOS suits developers and teams building or coordinating AI agents that need persistent identity, messaging, or marketplace workflows. Its API, SDKs, and self-hosting option may suit those integrating agent runtimes or frameworks.

Charts they share