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AutoGen vs Dify

A side-by-side comparison to help you choose between AutoGen and Dify.

 AutoGenDify
DescriptionOpen-source Microsoft framework for building conversational multi-agent AI applications with tools, human feedback, and event-driven runtimes.Open-source platform for building, deploying, and managing agentic workflows, RAG pipelines, and production LLM applications.
Category自动化 Agent 与集成自动化 Agent 与集成
Pricingfreemium · No official AutoGen pricing page or paid AutoGen SaaS plan was found during verification. Official Microsoft sources describe AutoGen as an open-source framework, and the repository's LICENSE-CODE file is MIT. The framework can be installed and run by users, but real usage normally requires external model/API accounts such as OpenAI, Azure OpenAI, Anthropic, Gemini, Ollama, or other supported providers, plus user-managed hosting, storage, logging, sandboxing, and operations costs. Therefore the production pricing record should treat AutoGen's own starting price as $0 while separating downstream provider and infrastructure costs. freemium · Dify has two public pricing surfaces. Dify Cloud has a free Sandbox plan with 200 message credits, one member, five apps, small knowledge limits, 3,000 trigger events, two triggers per workflow, 30-day logs, and a 5,000 API-rate-limit/month cap. Professional is listed at $59/month or $590/year per workspace and raises usage to 5,000 message credits/month, 3 members, 50 apps, 500 knowledge documents, 5GB storage, 20,000 trigger events/month, unlimited triggers per workflow, unlimited logs, and no Dify API rate limit. Team is listed at $159/month or $1,590/year per workspace and raises usage to 10,000 message credits/month, 50 members, 200 apps, 1,000 knowledge documents, 20GB storage, 1,000 knowledge requests/min, unlimited trigger events, and 5,000 annotations. For self-hosting, Community is free with one workspace and all public-repo core features under Dify's open-source license. Enterprise is custom priced for commercial authorization, multiple workspaces, SSO, advanced security, scalable deployment, official maintenance, and professional support.
Rating4.24.4
Features
Multi agent conversation managementHuman in the loop interactionFlexible agent role assignmentSupport for multiple LLM backendsTask decomposition and executionExtensible agent and tool interfaces
Visual drag and drop workflow builderRAG pipeline supportMulti LLM integrationAgentic workflow capabilitiesObservability and monitoringFlexible publishing options
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AI Workflow Center
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  • Full Next.js source code + 10 pipelines
  • Admin console with built-in analytics
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  • Self-hosted — no recurring platform fees

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