AI tool comparison
Bolt.new vs Onyx
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Bolt.new
Prompt to full-stack app in your browser
67%
Panel ship
—
Community
Free
Entry
Bolt.new by StackBlitz lets you describe an app in natural language and generates a full working prototype — frontend, backend, database — all in a browser-based dev environment.
Developer Tools
Onyx
Self-hosted AI platform with RAG, agents, and 50+ connectors — MIT licensed
75%
Panel ship
—
Community
Paid
Entry
Onyx is a fully open-source, self-hostable AI platform that wraps any LLM with enterprise-grade features: retrieval-augmented generation (RAG), deep research flows, custom agents, code execution, image generation, and voice mode. It connects to 50+ data sources via indexing connectors or MCP, making it a full internal AI stack rather than a chat wrapper. The platform recently shipped version 3.1.1 and has accumulated 24.8k GitHub stars. Unlike managed AI platforms, Onyx is self-deployed — teams can run it on Docker, Kubernetes, or Helm, and the Community Edition is entirely MIT licensed with no feature gating. Enterprise features like SSO, RBAC, and audit logging are available for teams that need them. What sets Onyx apart is the combination of depth and openness. Most open-source chat UIs are thin wrappers. Onyx ships agentic RAG that ranked on deep research leaderboards, plus an admin layer for managing connectors, access control, and usage analytics — all without sending data to a third-party cloud.
Reviewer scorecard
“Perfect for prototyping. I described a dashboard and had a working app in 3 minutes. Not production-ready, but unbeatable for speed-to-demo.”
“50+ connectors out of the box plus MCP support means you can actually index your entire company knowledge base without writing glue code. Self-hosting on Docker took about an hour to get running. This is what I wanted Danswer to become — and it did.”
“Impressive demo, but the generated code is messy and you'll rewrite most of it. If you can't code, you can't fix what it breaks. Know what you're getting into.”
“Self-hosting an enterprise AI platform is not trivial — you own the infra, the updates, the security patches, and the connector maintenance. For small teams without a dedicated DevOps person, the operational overhead will eat the productivity gains. The MIT license is genuinely free until you need the enterprise features, at which point the pricing is opaque.”
“As a creator who needs quick landing pages and MVPs, this is a game-changer. I built a waitlist page with email capture in under 5 minutes.”
“Deep research that actually cites your internal docs rather than hallucinating sources is genuinely useful for content teams. The voice mode and image generation being bundled in means one deployment covers most creative workflows.”
“The open-source enterprise AI stack is the play for companies that can't trust their proprietary data to third-party clouds — which is most regulated industries. Onyx is building the infrastructure layer for sovereign AI deployments, and 25k stars suggests the market agrees.”
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