Flowise vs Lindy.ai
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 — no code required
Closed sourceN/A stars
Lindy.ai
Enterprise productivity assistant with 4,000+ integrations
Category
Flowise
Lindy.ai
Tagline
Visual drag-and-drop builder for AI agents and LLM workflows — no code required
Enterprise productivity assistant with 4,000+ integrations
Deployment
Self-hosted / Flowise Cloud
Managed SaaS
Pricing
Open source and free to self-host. Flowise Cloud starts at $35/month.
Mid-tier paid pricing that fits regular professional use better than hobby use.
Channels
Web, api, Slack, Teams
iMessage, SMS, Email, Web
Open source
Yes
No
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 — no code required.
- Largest ecosystem of integrations of any open-source agent builder.
- 51K+ GitHub stars, active community.
Lindy.ai pros
- Security posture is strong for sensitive workflows.
- Extensible enough for custom tools, plugins, or workflow glue.
- 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.
Lindy.ai cons
- No modern chat apps (no Telegram, WhatsApp, Discord, Slack)
- Lower privacy score — data processed on their servers
- Closed source with mid-tier pricing
Flowise gotchas
- Complex flows can hit LLM rate limits silently.
- Docker deployment recommended over npm for stability.
Lindy.ai gotchas
- Recurring subscription or model spend can matter more than the headline feature list.
Not sure which one fits you?
Take the two-minute quiz and let the app rank these options against your channels, privacy requirements, deployment comfort, and budget.