As of 2026-09-03 (commit 6d12c0d8415c), getnanoai/NanoAgent contains 204,619 total lines: 176,898 code, 3,228 comments, 24,493 blank, across 994 files in 20 languages (top: C# 79.3%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving getnanoai/NanoAgent to commit 6d12c0d8415c, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.
This is a large codebase by counted code lines. Code represents 86.5% of all lines, comments represent 1.6%, and the repository averages 178 code lines per file. C# accounts for 79.3% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| C# | 817 | 163371 | 140236 | 1813 | 21322 |
| JSON | 22 | 13526 | 13526 | 0 | 0 |
| TypeScript | 23 | 8334 | 7320 | 47 | 967 |
| TSX | 40 | 5317 | 4868 | 56 | 393 |
| Kotlin | 13 | 3074 | 2429 | 224 | 421 |
| CSS | 2 | 2535 | 2195 | 14 | 326 |
| AXAML | 3 | 1232 | 1169 | 0 | 63 |
| Python | 1 | 1380 | 1157 | 9 | 214 |
| JavaScript | 11 | 1215 | 970 | 91 | 154 |
| Shell | 2 | 1071 | 776 | 128 | 167 |
| YAML | 37 | 738 | 736 | 0 | 2 |
| PowerShell | 1 | 746 | 606 | 10 | 130 |
Top language (C# 79.3%). Generated at .
getnanoai/NanoAgent has 204,619 total lines, including 176,898 code lines, 3,228 comment lines, and 24,493 blank lines.
OctoCounts resolved the public GitHub repository to commit 6d12c0d8415c, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from master at commit 6d12c0d8415c on 2026-09-03T01:38:50.941133992+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: