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OpenHands vs Onyx

OpenHandsOnyx

Bottom line: OpenHands for developers wanting an open-source coding agent; Onyx for engineering-capable teams.

OpenHandsOpenHands

Open-source autonomous AI software engineer that writes, runs, and debugs code

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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
ai-coding-agentopen-sourceautonomous-agentswe-benchdevtools
open-sourceenterprise-searchragself-hostedai-assistant
Best for
  • Developers wanting an open-source coding agent
  • Teams standardizing on BYOK model usage
  • OSS maintainers automating issue triage
  • Engineering-capable teams
  • Security and privacy-focused organizations
  • Companies avoiding vendor lock-in
Pros
  • Fully open-source (MIT) with a large, active community
  • Model-agnostic — works with Claude, GPT, Gemini, and open weights
  • Strong SWE-bench performance for an open project
  • Sandboxed runtime keeps agent actions isolated
  • Free self-hosted option plus a hosted cloud tier
  • 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
  • Autonomous runs can consume significant model tokens and cost
  • Self-hosting requires Docker and some setup effort
  • Agent reliability varies with task complexity and chosen model
  • Enterprise features are quote-only
  • Less polished than commercial IDE-integrated tools
  • 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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