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Continue vs Onyx

ContinueOnyx

Bottom line: Continue for local-first developers; Onyx for engineering-capable teams.

ContinueContinue

Open-source AI code assistant that plugs any model into your IDE

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OnyxOnyx

Open-source AI chat and enterprise search over your company's knowledge.

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
open-sourceide-extensionlocal-modelsautocompletecustomizable
open-sourceenterprise-searchragself-hostedai-assistant
Best for
  • Local-first developers
  • Teams wanting config-as-code
  • Privacy-conscious engineers
  • Engineering-capable teams
  • Security and privacy-focused organizations
  • Companies avoiding vendor lock-in
Pros
  • Fully open-source, no required subscription
  • Supports any model, cloud or local
  • Deep customization via config-as-code
  • Works in VS Code and JetBrains
  • Autonomous agent mode added in 2026
  • 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
Cons
  • Steeper setup than plug-and-play tools
  • Quality depends on chosen models
  • Evolving product direction can shift features
  • Local models need capable hardware
  • Less hand-holding than commercial assistants
  • 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

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