Enterprise DNA
O Open Source Orchestration medium

Bifrost

by Community

Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.

B

OSS

Bifrost

Added 1 June 2026

#ai-gateway #gateway #gateway-services #generative-ai #guardrails #llm #llm-cost #llm-gateway

Overview

Bifrost is a high-performance AI gateway written in Go. It adaptively load balances requests across 1000+ models, enforces guardrails, and operates in cluster mode with under 100 µs overhead at 5,000 requests per second.

Best for

Best for
Engineering teams needing ultra-fast, scalable model routing with built-in safety controls

Use cases

  • Route inference requests to the optimal model based on real-time performance
  • Apply safety guardrails and policies across multiple AI model endpoints
  • Scale model serving horizontally with cluster mode for high throughput

Notes

Bifrost is a high-performance AI gateway written in Go. It adaptively load balances requests across 1000+ models, enforces guardrails, and operates in cluster mode with under 100 µs overhead at 5,000 requests per second.

5,406 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

  • Route inference requests to the optimal model based on real-time performance
  • Apply safety guardrails and policies across multiple AI model endpoints
  • Scale model serving horizontally with cluster mode for high throughput

Pros

  • Extremely low latency overhead even at high request rates
  • Supports over 1000 models, reducing vendor lock-in
  • Built-in guardrails for safety without external services

Cons

  • Community vendor may offer limited enterprise support
  • Go language can be a barrier for teams without Go experience
  • Advanced clustering adds operational complexity for small deployments

Indexed from awesome-langchain and enriched against its public facts.

Pros

  • Extremely low latency overhead even at high request rates
  • Supports over 1000 models, reducing vendor lock-in
  • Built-in guardrails for safety without external services

Cons

  • Community vendor may offer limited enterprise support
  • Go language can be a barrier for teams without Go experience
  • Advanced clustering adds operational complexity for small deployments