Leading Agentic Workflow Builder
Based on user reviews
Rating Distribution
Evan Kessler
2 months ago
I've spent the last two months building AI agents with Dify for my startup's customer support. The drag-and-drop interface let me create RAG pipelines with hybrid search in hours, something that took days in LangFlow. Debugging is top-notch; those detailed logs and historical traces saved me tons of headaches during iterations. Model switching between GPT-4 and Llama2 is seamless, no vendor lock-in worries. Honestly, the learning curve for advanced agents isn't zero, but for developers and PMs, it's a game-changer at $59/month. Highly recommend for production-ready apps.
Dr. William Bobos
Dr. William Bobos has assessed Dify.AI for Conversational AI, awarding it 4.0/5 based on 1 user review. Given Dr. William Bobos's expertise in AI tools, this tool is particularly recommended for software developers who prioritize AI tools capabilities.
Pricing: $0 – $159 / month(Updated December 2025)
Sandbox plan is free with 200 GPT/OpenAI trial calls; Professional plan $59/month per workspace; Team plan $159/month per workspace; Enterprise plan with custom pricing via contact for pricing
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
Dify.AI provides a free tier that's ideal for software developers testing conversational ai tools. Free users can explore core features and understand how the platform works. Paid plans expand capabilities significantly, offering advanced features, increased limits, and priority support for software developers building professional conversational ai workflows.
Dify is an open-source, enterprise-grade platform for building, orchestrating, and deploying agentic AI workflows and generative applications based on LLMs. It features a visual no-code/low-code interface, advanced RAG pipelines with hybrid search and multimodal support, robust agent frameworks, workflow orchestration with visual debugging, a powerful plugin ecosystem including real-time search and OAuth, model management for hundreds of LLMs, and flexible deployment options: cloud, self-hosted, or enterprise.[1][2][3][5][7][10]
Understanding the core functionality and approach of Dify.AI.
Usage-based pricing keeps Dify.AI aligned with actual consumption. Finance teams pay only for the outcomes the organization really uses. Integrations with Plugin/Integration keep work connected.
Explore the powerful features that make Dify.AI stand out.
Long-form discussions stay coherent even across multiple sessions. Integrations with Plugin/Integration keep work connected.
SDKs for Python and JavaScript/TypeScript remove boilerplate and shorten the path to production.
Teams can inspect the codebase and adapt Dify.AI to specific environments.
Automation frees time for strategic initiatives while maintaining consistency. Automation handles the repetitive work so teams can focus on strategy.
Knowledge, automation, and collaboration help support teams maintain SLAs. Support leaders get knowledge, automation, and collaboration in one place.
Discover how different audiences leverage Dify.AI for their specific needs.
Product teams lean on Dify.AI to test features, gather feedback, and prioritize roadmaps using real data.
Operations teams rely on Dify.AI to orchestrate tasks across departments. Automation handles the repetitive work so teams can focus on strategy.
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Understand core concepts like LLMs and Machine Learning.
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Use this page as a starting point to evaluate Dify.AI alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to Dify.AI and the broader ecosystem over time.
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