AI Gateway vs Manifest
Side-by-side comparison of two AI agent tools
AI Gatewayopen-source
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Manifestopen-source
Smart LLM Routing for OpenClaw. Cut Costs up to 70% 🦞🦚
Metrics
| AI Gateway | Manifest | |
|---|---|---|
| Stars | 13.1k | 7.5k |
| Star velocity /mo | 327.75401069518716 | 551.7112299465241 |
| Commits (90d) | 0 | 758 |
| Releases (6m) | 0 | 10 |
| Overall score | 0.4155359196134771 | 0.8860947124750975 |
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
- +Significant cost reduction potential of up to 70% through intelligent model routing based on request complexity
- +Automatic failover system ensures high reliability by seamlessly switching to alternative models when primary ones fail
- +Flexible deployment options with both cloud-managed service and local self-hosted installation available
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
- -Limited to the OpenClaw ecosystem, which may restrict compatibility with other AI agent frameworks
- -Requires additional infrastructure setup and configuration compared to direct LLM provider integration
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
- •Cost optimization for high-volume AI applications that process both simple and complex queries with varying computational requirements
- •Production AI systems requiring high availability through automatic model fallbacks and redundancy
- •Organizations with strict budget controls needing usage monitoring and spending alerts for LLM consumption