AI Gateway vs OpenLIT
Side-by-side comparison of two AI agent tools
Short answer
- AI Gateway is growing faster: +323 GitHub stars in the last 30 days vs +77 for OpenLIT.
- Pick AI Gateway for: a blazing fast AI Gateway with integrated guardrails. Pick OpenLIT for: open-source platform for AI agent tracing, evaluations, guardrails, prompts, and GPU monitoring.
From GitHub data refreshed daily.
AI Gatewayopen-source
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
OpenLITopen-source
Open-source platform for AI agent tracing, evaluations, guardrails, prompts, and GPU monitoring
Metrics
| AI Gateway | OpenLIT | |
|---|---|---|
| Stars | 13.1k | 2.8k |
| Star velocity /mo | 323.36842105263156 | 76.73684210526315 |
| Commits (90d) | 0 | 139 |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 1.9K | 287.2K |
| Overall score | 0.3390945209311889 | 0.648411262443948 |
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
- +OpenTelemetry 原生支持，厂商中立，可与现有可观测性工具无缝集成
- +一行代码集成，提供从 LLM 到 GPU 的全栈监控能力
- +功能丰富的一体化平台，包含监控、评估、提示词管理、实验场地等完整工具链
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
- -作为综合性平台，对于简单用例可能过于复杂
- -开源项目需要自行部署和维护基础设施
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
- •LLM 应用的性能监控和成本跟踪
- •多 LLM 提供商的实验和对比测试
- •AI 开发工作流的统一管理和版本控制
FAQ
- Which is more popular, AI Gateway or OpenLIT?
- AI Gateway has more GitHub stars (13,121 vs 2,813).
- Which is more actively developed, AI Gateway or OpenLIT?
- OpenLIT had more commits in the last 90 days (139 vs 0).
- Should I use AI Gateway or OpenLIT?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.