Flowise vs OpenFang
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
Open source17k stars
OpenFang
Open-source Agent OS built in Rust — autonomous agents on schedules with 40 channel adapters
Category
Flowise
OpenFang
Tagline
Visual drag-and-drop builder for AI agents and LLM workflows — no code required
Open-source Agent OS built in Rust — autonomous agents on schedules with 40 channel adapters
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, Discord, Slack, WhatsApp, Web
Open source
Yes
Yes
Privacy
Self-hosted deployment keeps data on your infrastructure.
Very strong privacy posture with local-first or tightly controlled deployment options.
Flowise pros
- Visual builder — no code required.
- Largest ecosystem of integrations of any open-source agent builder.
- 51K+ GitHub stars, active community.
OpenFang pros
- Open source with transparent code and flexible deployment options.
- Security posture is strong for sensitive workflows.
- Strong privacy story for users who care where data runs.
Flowise cons
- Visual workflows hard to debug at scale.
- Less flexible than code-first frameworks.
- Self-hosting requires some DevOps knowledge.
OpenFang cons
- Trade-offs are moderate rather than severe, but it does not stand out sharply on every dimension.
Flowise gotchas
- Complex flows can hit LLM rate limits silently.
- Docker deployment recommended over npm for stability.
OpenFang 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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