Flowise vs Google ADK
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 source52k stars
Flowise
Visual drag-and-drop builder for AI agents and LLM workflows โ no code required
Open source19k stars
Google ADK
Google's open-source code-first Python toolkit for building and evaluating AI agents
Category
Flowise
Google ADK
Tagline
Visual drag-and-drop builder for AI agents and LLM workflows โ no code required
Google's open-source code-first Python toolkit for building and evaluating AI agents
Deployment
Self-hosted / Flowise Cloud
Self-Hosted
Pricing
Open source and free to self-host. Flowise Cloud starts at $35/month.
Free to use, with optional model or infrastructure costs if you self-host.
Channels
Web, api, Slack, Teams
Web, CLI
Open source
Yes
Yes
Privacy
Self-hosted deployment keeps data on your infrastructure.
Some privacy controls exist, but vendor-hosted infrastructure still handles a meaningful share of the data flow.
Flowise pros
- Visual builder โ no code required.
- Largest ecosystem of integrations of any open-source agent builder.
- 51K+ GitHub stars, active community.
Google ADK pros
- Official Google backing
- Built-in evaluation framework
- Multi-agent orchestration
Flowise cons
- Visual workflows hard to debug at scale.
- Less flexible than code-first frameworks.
- Self-hosting requires some DevOps knowledge.
Google ADK cons
- Python-only
- Development framework, not ready-to-use assistant
- Google Gemini API dependency
Flowise gotchas
- Complex flows can hit LLM rate limits silently.
- Docker deployment recommended over npm for stability.
Google ADK gotchas
- You should expect ongoing hosting, uptime, and secret-management work if you deploy it for real users.
Not sure which one fits you?
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