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Decision brief
Bifrost is an ultra-fast AI gateway with adaptive load balancing and support for over 1000 models, suitable for enterprises requiring low latency and high model diversity in their API serving needs.
Good fit when
- Use when you require a highly scalable solution that can manage more than 1000 different models with minimal overhead.
- Ideal if your deployment demands ultra-low latencies of under 100 microseconds at 5,000 requests per second.
Avoid when
- Avoid Bifrost if you are working within a restrictive environment where Go is not the preferred language or Apache-2.0 licensing terms cannot be accepted.
- Do not use if you prioritize tools that offer more customization options beyond its unified open-source compatible API and default configurations.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/maximhq/bifrost pkg.go.devHow it fits your stack(6)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Bifrost is an ultra-fast enterprise gateway for AI that supports over 1000 models with minimal overhead.
Capability facts
- Languages
- go
Source: github.language · Aug 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 20, 2026)
npx -y @maximhq/bifrostSource link
Tags
README
Quick Start
Go from zero to production-ready AI gateway in under a minute.
Step 1: Start Bifrost Gateway
---
# Install and run locally
npx -y @maximhq/bifrost
---
# Or use Docker
docker run -p 8080:8080 maximhq/bifrost
Step 2: Configure via Web UI
---
### Core Infrastructure
- **[Unified Interface](https://docs.getbifrost.ai/providers/supported-providers/overview)** - Single OpenAI-compatible API for all providers
- **[Multi-Provider Support](https://docs.getbifrost.ai/quickstart/gateway/provider-configuration)** - OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Cerebras, Cohere, Mistral, Ollama, Groq, and more
- **[Automatic Fallbacks](https://docs.getbifrost.ai/features/retries-and-fallbacks)** - Seamless failover between providers and models with zero downtime
- **[Load Balancing](https://docs.getbifrost.ai/features/retries-and-fallbacks)** - Intelligent request distribution across multiple API keys and providers
---
## Getting Started Options
Choose the deployment method that fits your needs:
---
# Docker - Production ready
docker run -p 8080:8080 -v $(pwd)/data:/app/data maximhq/bifrost
Features: Web UI, real-time monitoring, multi-provider management, zero-config startup
Learn More: Gateway Setup Guide
Quick Start
- Gateway Setup - HTTP API deployment in 30 seconds
- Go SDK Setup - Direct Go integration
- Provider Configuration - Multi-provider setup
License
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
Built with ❤️ by Maxim
For agents
This page has a .md twin and JSON over the API.