gateway vs n8n
Side-by-side comparison of two AI agent tools
gatewayopen-source
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
n8nfree
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Metrics
| gateway | n8n | |
|---|---|---|
| Stars | 11.1k | 181.8k |
| Star velocity /mo | 360 | 3.6k |
| Commits (90d) | — | — |
| Releases (6m) | 8 | 10 |
| Overall score | 0.7073682889460482 | 0.8172390665473008 |
Pros
- +支持1600+模型的大规模路由能力，覆盖主流AI提供商
- +超高性能表现：<1ms延迟，122kb轻量级架构，日处理100亿tokens验证
- +企业级可靠性：自动重试、故障转移、负载均衡等生产环境必需功能
- +Hybrid approach combining visual workflow building with full JavaScript/Python coding capabilities when needed
- +AI-native platform with LangChain integration for building sophisticated AI agent workflows using custom data and models
- +Fair-code license ensures source code transparency with self-hosting options, providing data control and deployment flexibility
Cons
- -企业级功能可能对简单用例过于复杂
- -文档信息不完整，可能存在学习曲线
- -高级配置和企业部署可能需要技术专业知识
- -Requires technical knowledge to fully leverage coding capabilities and advanced features
- -Self-hosting demands infrastructure management and maintenance overhead
- -Fair-code license restricts commercial usage at scale without enterprise licensing
Use Cases
- •多模型AI应用需要统一API接口和智能路由选择
- •企业级AI服务要求高可用性、自动故障转移和负载均衡
- •大规模AI应用需要成本优化和性能监控的网关层
- •Building AI agent workflows that process customer data using LangChain and custom language models
- •Automating complex business processes that require both API integrations and custom business logic
- •Creating data synchronization pipelines between multiple SaaS tools while maintaining full control over sensitive data through self-hosting