cqs
v1.41.0 ExperimentalCode intelligence and RAG for AI agents. Semantic search, call graphs, impact analysis, type dependencies, and smart context assembly — in single tool calls. 54 languages + L5X/L5K PLC exports. 52.7% R@1 / 77.5% R@5 / 89.4% R@20 on v3.v2 dual-judge code-search (218 queries, EmbeddingGemma-300m default with per-category SPLADE α including identifier_lookup retune in v1.39.x; v3.v2 fixture line numbers re-anchored 2026-05-08 in #1607). Daemon mode (3-19ms queries). Local-first, GPU-accelerated.
Quick Verdict
- ✓Actively maintained (updated 5d ago)
- !Heavy dependency tree (116 direct deps)
- ✓Permissive license (MIT)
Security
Deep Insights
385 downloads in the last 30 days (13/day), up 28% from the previous period.
116 direct dependencies. Consider the impact on compile times and supply chain complexity.
5.7MB is relatively large. May impact download and compile times.
Health Breakdown
Recency, release consistency, active ratio
Yanked ratio, deps, size, maturity, features
Reverse deps, ownership, ecosystem
Downloads, momentum, growth trend
Docs, repo, license, metadata
Download Trend
Version Adoption
Release Timeline
Feature Flags
default =["lang-rust", "lang-python", "lang-typescript", "lang-javascript", "lang-go", "lang-c", "lang-cpp", "lang-java", "lang-csharp", "lang-fsharp", "lang-powershell", "lang-scala", "lang-ruby", "lang-bash", "lang-hcl", "lang-kotlin", "lang-swift", "lang-objc", "lang-sql", "lang-protobuf", "lang-graphql", "lang-php", "lang-lua", "lang-zig", "lang-r", "lang-yaml", "lang-toml", "lang-elixir", "lang-elm", "lang-erlang", "lang-haskell", "lang-ocaml", "lang-julia", "lang-gleam", "lang-css", "lang-perl", "lang-html", "lang-json", "lang-xml", "lang-ini", "lang-nix", "lang-make", "lang-latex", "lang-solidity", "lang-cuda", "lang-glsl", "lang-svelte", "lang-razor", "lang-vbnet", "lang-vue", "lang-markdown", "lang-aspx", "lang-st", "lang-dart", "convert", "llm-summaries", "serve"]
