Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for platform and infra teams that need one gateway fronting every model provider with failover, load balancing, and observability already wired in. Install via npx -y @maximhq/bifrost or Docker, point your OpenAI-compatible clients at http://localhost:8080, and route by model prefix (openai/, anthropic/, bedrock/).
Where this stands now
maximhq/bifrost ranks #3 of 10 tracked AI Gateway items by composite score (8.3 against a section median of 7.9). The section currently carries 6 Gold, 4 Silver. RepoRadar has retained observations for this record since 2026-06-17 (108 days in the current window). Signal extremes versus the section: momentum at the 90th percentile; novelty at the 30th percentile.
Who should use it
Who should skip it
Consider maximhq/bifrost lower priority if you already have a working solution in this category.
About this signal
maximhq/bifrost is tracked by RepoRadar as a developer tool in the AI Gateway section. First seen 2026-06-17; the source record was last checked on 2026-06-17. The current verdict is 'try now' with a Gold tier and easy setup difficulty. Across RepoRadar's eight signals, maximhq/bifrost is strongest on workflow potential (9.4) and practical usefulness (9.0) and weakest on novelty (7.0) — a profile worth weighing against your own priorities. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The maximhq/bifrost record combines a 8.3/10 composite score with separate popularity (80.0), risk (conditional), and setup (easy) signals. See the scoring methodology for the current weights and evidence definitions.
Questions worth asking before you adopt this
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
API keys for every provider pass through the gateway — treat the gateway as a credentialed service and follow standard secret-management practices; claims of '50x faster than LiteLLM' are vendor benchmarks; validate against your own workload before committing.