Agno vs Flowise
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 source52k stars
Flowise
Visual drag-and-drop builder for AI agents and LLM workflows — no code required
Category
Agno
Flowise
Tagline
High-performance multi-agent framework — build, run and manage teams of AI agents at scale
Visual drag-and-drop builder for AI agents and LLM workflows — no code required
Deployment
Self-hosted / Agno Cloud
Self-hosted / Flowise Cloud
Pricing
Open source and free to self-host. Agno Cloud available for managed deployments.
Open source and free to self-host. Flowise Cloud starts at $35/month.
Channels
Web, api, CLI
Web, api, Slack, Teams
Open source
Yes
Yes
Privacy
Self-hosted deployments keep data on your infrastructure.
Self-hosted deployment keeps data on your infrastructure.
Agno pros
- Extremely fast — benchmarks show 3x LangGraph speed.
- Native multi-agent team support built-in.
- Strong memory architecture with multiple storage backends.
Flowise pros
- Visual builder — no code required.
- Largest ecosystem of integrations of any open-source agent builder.
- 51K+ GitHub stars, active community.
Agno cons
- Developer-focused — no visual builder.
- Ecosystem smaller than LangChain/LangGraph.
- Requires Python knowledge.
Flowise cons
- Visual workflows hard to debug at scale.
- Less flexible than code-first frameworks.
- Self-hosting requires some DevOps knowledge.
Agno gotchas
- Formerly called Phidata — old docs may use old name.
- Start with single agent before multi-agent orchestration.
Flowise gotchas
- Complex flows can hit LLM rate limits silently.
- Docker deployment recommended over npm for stability.
Not sure which one fits you?
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