Flowise vs Poke
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
Poke
Consumer-friendly proactive AI assistant via iMessage/SMS/Telegram
Category
Flowise
Poke
Tagline
Visual drag-and-drop builder for AI agents and LLM workflows — no code required
Consumer-friendly proactive AI assistant via iMessage/SMS/Telegram
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, WhatsApp, Email
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.
Poke pros
- Can handle meaningful autonomous work instead of acting only as a reactive chatbot.
Flowise cons
- Visual workflows hard to debug at scale.
- Less flexible than code-first frameworks.
- Self-hosting requires some DevOps knowledge.
Poke cons
- Closed-source offering, so portability and vendor transparency are limited.
- Privacy controls are limited compared to self-hosted alternatives.
Flowise gotchas
- Complex flows can hit LLM rate limits silently.
- Docker deployment recommended over npm for stability.
Poke 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.