Dify
Open-source platform to build LLM apps, agents and RAG workflows visually
Overview
Dify is an open-source platform for building production LLM applications, combining a visual workflow canvas, RAG pipeline, agent capabilities, model management across 100+ providers, and observability. It supports both a hosted cloud sandbox and self-hosting, with full APIs exposed for every app you build. It is aimed at developers and product teams who want to ship AI-native apps without assembling the whole stack themselves.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 4 Jun 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
ASEAN Perspective
Dify in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Dify is one of the most mature open-source LLM application platforms, bundling RAG, agents, model management and observability into a single deployable stack that you fully control. The visual canvas lowers the barrier for product teams while the API-first design keeps developers happy.
Its main caveat is that self-hosting at scale requires real ops effort, and the cloud sandbox limits are modest. For teams that value data control and want to avoid lock-in, it is a strong default; teams wanting a fully managed enterprise SLA may prefer commercial alternatives.
About this listing
This entry was compiled from publicly available data including Dify's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Dify unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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