As of 2026-05-18 (commit 79793b0d2e14), mem0ai/mem0 contains 279,073 total lines: 180,107 code, 55,482 comments, 43,484 blank, across 1,869 files in 19 languages (top: Python 40.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving mem0ai/mem0 to commit 79793b0d2e14, 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 64.5% of all lines, comments represent 19.9%, and the repository averages 96 code lines per file. Python accounts for 40.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 620 | 90830 | 72899 | 3354 | 14577 |
| TypeScript | 299 | 50741 | 41679 | 3416 | 5646 |
| YAML | 50 | 29843 | 24728 | 2 | 5113 |
| TSX | 227 | 21313 | 19396 | 85 | 1832 |
| JSON | 53 | 11390 | 11382 | 0 | 8 |
| Shell | 17 | 3816 | 2937 | 319 | 560 |
| CSS | 12 | 2543 | 2196 | 36 | 311 |
| JavaScript | 23 | 2201 | 1756 | 211 | 234 |
| Jupyter Notebooks | 27 | 1678 | 997 | 444 | 237 |
| SVG | 37 | 581 | 581 | 0 | 0 |
| TOML | 7 | 494 | 430 | 19 | 45 |
| HTML | 4 | 387 | 373 | 5 | 9 |
Top language (Python 40.5%). Generated at 2026-05-18T07:02:22.333508547+00:00.
mem0ai/mem0 has 279,073 total lines, including 180,107 code lines, 55,482 comment lines, and 43,484 blank lines.
OctoCounts resolved the public GitHub repository to commit 79793b0d2e14, 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 79793b0d2e14 on 2026-05-18T07:02:22.333508547+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: