We are building the enterprise Layer 2C for AI: the control and connectivity layer between applications, agents, infrastructure, and model providers.
Ferro Labs builds infrastructure for teams shipping AI in production. We focus on the layer between your application and the systems it depends on: model providers, routing logic, observability, secure connectivity, and deployment primitives.
Our goal is simple: make the AI Gateway ecosystem clear, open, and production-ready.
| Repository | Purpose |
|---|---|
ai-gateway |
Core open-source AI gateway in Go |
model-catalog |
Open-source LLM pricing & capability database — 2,468 models, 82 providers |
ferrolabs-python-sdk |
Official Python SDK — pip install ferrolabsai |
ferrolabs-typescript-sdk |
Official TypeScript SDK — npm install @ferro-labs-ai/sdk |
docs |
Official documentation and guides |
ai-gateway-examples |
Integration examples, demos, and reference patterns |
ai-gateway-benchmark-performance |
Performance benchmarks and comparison workloads |
helm-charts |
Official Helm charts for Kubernetes deployment |
FerroTunnel is our secure, API-first tunneling product for exposing services with public URLs and low-latency forwarding. It is built for developers and teams who want a lightweight ingress layer without unnecessary complexity.
| Repository | Purpose |
|---|---|
ferrotunnel |
Core tunneling product |
homebrew-ferrotunnel |
Homebrew tap for installing FerroTunnel |
tunnel-examples |
Integration examples and reference patterns for FerroTunnel |