Flowise vs nanobot
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 source1.3k stars
nanobot
Open-source MCP agent framework for building and deploying AI agents
Category
Flowise
nanobot
Tagline
Visual drag-and-drop builder for AI agents and LLM workflows โ no code required
Open-source MCP agent framework for building and deploying 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
Telegram, WhatsApp, Slack, Email, QQ, Feishu, Discord
Open source
Yes
Yes
Privacy
Self-hosted deployment keeps data on your infrastructure.
Good privacy posture for most teams, especially when self-hosted or carefully configured.
Flowise pros
- Visual builder โ no code required.
- Largest ecosystem of integrations of any open-source agent builder.
- 51K+ GitHub stars, active community.
nanobot pros
- Open source with transparent code and flexible deployment options.
- Strong privacy story for users who care where data runs.
- Good memory and persistence support for ongoing conversations or tasks.
Flowise cons
- Visual workflows hard to debug at scale.
- Less flexible than code-first frameworks.
- Self-hosting requires some DevOps knowledge.
nanobot cons
- Go ecosystem for AI tooling is smaller than Python/TypeScript
- Lower autonomy โ requires more explicit user-initiated workflows
- Community and plugin ecosystem still growing (1.2k stars)
Flowise gotchas
- Complex flows can hit LLM rate limits silently.
- Docker deployment recommended over npm for stability.
nanobot 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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