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Onyx vs Dify

OnyxDify

Bottom line: Onyx for engineering-capable teams; Dify for teams building LLM apps and agents quickly.

	Onyx Open-source AI chat and enterprise search over your company's knowledge. Visit	Dify Open-source platform for building production-ready LLM apps and agents. Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Coding	Coding
Tags	open-sourceenterprise-searchragself-hostedai-assistant	llmopsopen-sourceai-agentsragworkflow
Best for	Engineering-capable teams Security and privacy-focused organizations Companies avoiding vendor lock-in	Teams building LLM apps and agents quickly Organizations with data-residency needs Developers who want an open-source, self-hostable stack
Pros	Open-source and MIT-licensed with free self-hosting 40+ connectors to common workplace apps Model-agnostic, works with any LLM Granular access controls and data residency Active GitHub community and rapid development	Genuinely open-source and self-hostable for strong data control All-in-one: workflow, RAG, agents, and prompt IDE in one workspace Low-code visual canvas lowers the barrier to building Broad model and provider support, including self-hosted models Large, active community and a marketplace ecosystem
Cons	Self-hosting requires engineering effort to deploy and maintain Less polished onboarding than turnkey SaaS No native mobile app Advanced/enterprise features may need the paid tier Support for self-hosters is community-driven	License is not fully permissive; multi-tenant resale and branding removal are prohibited Real cost is dominated by separate LLM token spend, not the platform fee Message-credit model on paid tiers can feel limiting at scale Self-hosting adds ops and maintenance burden Free tier's one-time credits are essentially a demo allowance

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