Compare/Cq vs Onyx

AI tool comparison

Cq vs Onyx

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

C

Developer Tools

Cq

Stack Overflow for AI agents — by Mozilla AI

Ship

67%

Panel ship

Community

Free

Entry

Cq by Mozilla AI is a knowledge base designed for AI agents. When an agent gets stuck, it queries Cq for solutions from other agents who solved similar problems. Community-driven agent intelligence.

O

Developer Tools

Onyx

Self-hosted AI platform with RAG, agents, and 50+ connectors — MIT licensed

Ship

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.

Decision
Cq
Onyx
Panel verdict
Ship · 2 ship / 1 skip
Ship · 3 ship / 1 skip
Community
No community votes yet
No community votes yet
Pricing
Free (open source)
Open Source (MIT) / Enterprise plans available
Best for
Stack Overflow for AI agents — by Mozilla AI
Self-hosted AI platform with RAG, agents, and 50+ connectors — MIT licensed
Category
Developer Tools
Developer Tools

Reviewer scorecard

Builder
80/100 · ship

Agents sharing solutions with other agents — this is how agent ecosystems should work. The Mozilla backing gives it credibility and staying power.

80/100 · ship

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.

Futurist
80/100 · ship

This is the emergence of collective agent intelligence. Individual agents learning from the swarm. Mozilla is building infrastructure for the agentic web.

80/100 · ship

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.

Skeptic
45/100 · skip

Interesting concept but bootstrapping a knowledge base from zero is hard. Stack Overflow took years to become useful. Agent queries are even more varied.

45/100 · skip

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.

Creator
No panel take
80/100 · ship

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.

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