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.
OSS
Bifrost
Added 1 June 2026
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
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