As of 2026-08-27 (commit 62aebf8f4d4b), redis/agent-filesystem contains 197,065 total lines: 170,387 code, 9,353 comments, 17,325 blank, across 674 files in 16 languages (top: Go 64.3%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving redis/agent-filesystem to commit 62aebf8f4d4b, 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 4.7%, and the repository averages 253 code lines per file. Go accounts for 64.3% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Go | 347 | 123345 | 109521 | 3043 | 10781 |
| TSX | 113 | 34920 | 31967 | 373 | 2580 |
| TypeScript | 52 | 14126 | 12860 | 145 | 1121 |
| JSON | 15 | 10179 | 10175 | 0 | 4 |
| Python | 15 | 4363 | 3786 | 16 | 561 |
| Shell | 10 | 1243 | 925 | 130 | 188 |
| CSS | 5 | 571 | 411 | 79 | 81 |
| JavaScript | 5 | 434 | 382 | 3 | 49 |
| Makefile | 4 | 227 | 173 | 8 | 46 |
| Dockerfile | 2 | 128 | 74 | 24 | 30 |
| TOML | 1 | 63 | 52 | 4 | 7 |
| YAML | 1 | 34 | 24 | 7 | 3 |
Top language (Go 64.3%). Generated at .
redis/agent-filesystem has 197,065 total lines, including 170,387 code lines, 9,353 comment lines, and 17,325 blank lines.
OctoCounts resolved the public GitHub repository to commit 62aebf8f4d4b, 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 main at commit 62aebf8f4d4b on 2026-08-27T21:16:55.154547104+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: