Agno 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 source40k stars
Agno
High-performance multi-agent framework — build, run and manage teams of AI agents at scale
Open source72k stars
OpenHands
AI software development agent that writes code, fixes bugs, and creates pull requests autonomously
Category
Agno
OpenHands
Tagline
High-performance multi-agent framework — build, run and manage teams of AI agents at scale
AI software development agent that writes code, fixes bugs, and creates pull requests autonomously
Deployment
Self-hosted / Agno Cloud
Self-hosted (Docker)
Pricing
Open source and free to self-host. Agno Cloud available for managed deployments.
Free and open source. Requires LLM API key (OpenAI, Anthropic, or local via Ollama).
Channels
Web, api, CLI
Web, CLI
Open source
Yes
Yes
Privacy
Self-hosted deployments keep data on your infrastructure.
Self-hosted. Code and data stay on your machine. Use local models for full air-gap.
Agno pros
- Extremely fast — benchmarks show 3x LangGraph speed.
- Native multi-agent team support built-in.
- Strong memory architecture with multiple storage backends.
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.
Agno cons
- Developer-focused — no visual builder.
- Ecosystem smaller than LangChain/LangGraph.
- Requires Python knowledge.
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.
Agno gotchas
- Formerly called Phidata — old docs may use old name.
- Start with single agent before multi-agent orchestration.
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.
Not sure which one fits you?
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