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CrewAI vs OpenHands

Side-by-side comparison of two agent options that often come up together when people are choosing between self-hosted frameworks, managed assistants, and extensible AI tooling.

Open source50k stars
CrewAI

Role-playing multi-agent framework where AI agents collaborate as a crew to complete complex tasks

Open source72k stars
OpenHands

AI software development agent that writes code, fixes bugs, and creates pull requests autonomously

Category
CrewAI
OpenHands
Tagline
Role-playing multi-agent framework where AI agents collaborate as a crew to complete complex tasks
AI software development agent that writes code, fixes bugs, and creates pull requests autonomously
Deployment
Self-hosted
Self-hosted (Docker)
Pricing
Free and open source. Requires your own LLM API key.
Free and open source. Requires LLM API key (OpenAI, Anthropic, or local via Ollama).
Channels
api
Web, CLI
Open source
Yes
Yes
Privacy
Data processed by your chosen LLM provider. No CrewAI cloud dependency.
Self-hosted. Code and data stay on your machine. Use local models for full air-gap.
CrewAI pros
  • Role-based agent design makes complex workflows intuitive to reason about.
  • Strong community and active development.
  • Integrates with LangChain tools ecosystem.
OpenHands pros
  • Best-in-class coding agent with 71K+ stars.
  • Can browse docs, write tests, fix CI failures autonomously.
  • Active development, top SWE-bench scores.
CrewAI cons
  • Multi-agent coordination adds latency and API cost.
  • Debugging agent interactions can be opaque.
  • Less suited for single-agent personal assistant use cases.
OpenHands cons
  • Primarily a coding agent, not a general assistant.
  • Requires LLM API key with non-trivial costs per task.
  • Complex Docker setup for first-time users.
CrewAI gotchas
  • Token costs multiply quickly with multi-agent crews โ€” set budget limits.
  • Agent loops can occur if goal specification is ambiguous.
OpenHands gotchas
  • Repo moved from All-Hands-AI/OpenHands to OpenHands/OpenHands.
  • Works best with Claude Sonnet or GPT-4o.
  • Token usage per PR can be high.

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