| Focus | General automation (iPaaS + AI nodes) | End-to-end LLMOps (UI + infra) | LangChain-based LLM visual builder | Visual RAG + LLM pipeline builder |
| Ease of Use | Visual drag-and-drop UI | Visual UI + chatbot config | Node-based flow, slightly dev-centric | Polished drag-and-drop UI |
| LLM Integration | Yes – OpenAI, Claude, HuggingFace | Yes – OpenAI, Claude, LLaMA, etc. | Yes – GPT, Claude, Ollama, etc. | Yes – via LangChain/HuggingFace |
| Prompt Management | Basic (via variables or custom logic) | Advanced – with prompt IDE/logging | Yes – prompt templates & memory nodes | Yes – prompt chains, inspectable |
| Observability / Logs | Event logs, retries, versions | Dedicated LLM logs & user feedback | Visual trace of runs | Visual debug and flow explorer |
| Deployment | Self-host, Cloud, Desktop App | Self-host & SaaS cloud | Self-host & Flowise Cloud | Self-host & LangFlow Cloud |
| Open Source | ✅ Yes (fair-code, source-available) | ✅ Yes (Apache 2.0) | ✅ Yes (Apache 2.0) | ✅ Yes (MIT License) |
| Enterprise Features | RBAC, versioning, credential vault | SSO, RBAC, multi-agent, observability | SSO, team sharing | SOC2 cloud, RBAC |
| Community / Ecosystem | Very large (50k+ GitHub stars) | Growing fast, 80k+ GitHub stars | Strong LangChain community | LangChain ecosystem backed |
| Use Case Type | Workflow automation + AI connectors | AI-native agent/app building | Multi-agent chat, QA bots | RAG pipelines, LLM eval frameworks |
