Skip to main content

Kilo Code vs Onyx

Kilo CodeOnyx

Bottom line: Kilo Code for developers; Onyx for engineering-capable teams.

Open-source, model-agnostic AI coding agent for VS Code and JetBrains

Visit

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

Visit
Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
ai-coding-agentopen-sourcevs-codemcpmodel-agnostic
open-sourceenterprise-searchragself-hostedai-assistant
Best for
  • Developers
  • Multi-model users
  • IDE-centric teams
  • Engineering-capable teams
  • Security and privacy-focused organizations
  • Companies avoiding vendor lock-in
Pros
  • MIT-licensed and open source
  • Access to 500+ models
  • BYOK with zero markup
  • VS Code and JetBrains coverage
  • Subagent delegation and MCP support
  • 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
  • Began as a Roo Code fork
  • Plan structure can be confusing
  • Separate KiloClaw product adds complexity
  • You still pay model costs under BYOK
  • Anaconda acquisition impact still unfolding
  • 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

Comparison generated from each tool's listing. Add or remove tools above to change it.