Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for agent authors who need millisecond-scale routing decisions without paying LLM cost for every tool choice, for teams building guardrailed chat workflows (politics-off, off-topic redirects) that run locally, and for hybrid RAG + classifier pipelines that combine deterministic symbolic routing with vector retrieval.
Where this stands now
aurelio-labs/semantic-router ranks #2 of 12 tracked Agent Frameworks & Orchestration items by composite score (8.2 against a section median of 7.6). The section currently carries 7 Silver, 5 Gold. RepoRadar has retained observations for this record since 2026-08-10 (46 days in the current window). Signal extremes versus the section: momentum at the 79th percentile; novelty at the 12th percentile.
Who should use it
Who should skip it
Move on from aurelio-labs/semantic-router if the licensing terms, language support, or platform requirements do not fit your project.
About this signal
aurelio-labs/semantic-router is tracked by RepoRadar as a framework in the Agent Frameworks & Orchestration section. First seen 2026-08-10; the source record was last checked on 2026-08-10. The current verdict is 'try now' with a Gold tier and easy setup difficulty. aurelio-labs/semantic-router leads on workflow potential (9.7) and setup ease (8.8); its lowest signal is maturity (6.5), so factor that in before investing setup time. 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 aurelio-labs/semantic-router record combines a 8.2/10 composite score with separate popularity (3.8), risk (none), 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 vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
No inherent user-impacting risk is flagged from the captured evidence.