Flowise vs Hermes Agent
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 source111k stars
Hermes Agent
Self-improving agent with learning loop, skills system, and multi-platform gateway
Category
Flowise
Hermes Agent
Tagline
Visual drag-and-drop builder for AI agents and LLM workflows — no code required
Self-improving agent with learning loop, skills system, and multi-platform gateway
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, Signal, CLI, Email
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 — no code required.
- Largest ecosystem of integrations of any open-source agent builder.
- 51K+ GitHub stars, active community.
Hermes Agent pros
- Open source with transparent code and flexible deployment options.
- Strong privacy story for users who care where data runs.
- Extensible enough for custom tools, plugins, or workflow glue.
Flowise cons
- Visual workflows hard to debug at scale.
- Less flexible than code-first frameworks.
- Self-hosting requires some DevOps knowledge.
Hermes Agent cons
- Learning loop is experimental — can create unexpected behaviors
- Higher resource usage due to skill generation and user modeling
- Steeper learning curve for understanding the self-improvement system
Flowise gotchas
- Complex flows can hit LLM rate limits silently.
- Docker deployment recommended over npm for stability.
Hermes Agent 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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