# langchain-ai/deepagentsjs SLOC report

> langchain-ai/deepagentsjs: 77,987 code lines at commit 5f42f2df3c81, counted with tokei-14.0.0 on 2026-10-13. Saved result fc9b0d1f590e0fe14b21c95811a42ecf091a92bc8cd61714733dfc1b661c5356.

langchain-ai/deepagentsjs has 77,987 source lines of code out of 108,077 total lines across 415 files, counted from the main ref at commit 5f42f2df3c81 by the OctoCounts tokei engine on 2026-10-13. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving langchain-ai/deepagentsjs to commit 5f42f2df3c81, 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.

## Repository size insights

This is a medium-sized codebase by counted code lines. Code represents 72.2% of all lines, comments represent 15.0%, and the repository averages 188 code lines per file. TypeScript accounts for 89.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| TypeScript | 310 | 94,450 | 70,118 | 13,409 | 10,923 |
| YAML | 3 | 6,907 | 5,670 | 0 | 1,237 |
| JSON | 49 | 1,604 | 1,600 | 0 | 4 |
| TSX | 3 | 552 | 499 | 9 | 44 |
| CSS | 1 | 77 | 63 | 2 | 12 |
| Dockerfile | 1 | 37 | 19 | 11 | 7 |
| HTML | 1 | 18 | 18 | 0 | 0 |
| Markdown | 47 | 4,432 | 0 | 2,812 | 1,620 |

Top language (TypeScript 89.9%). Generated at 2026-10-13T09:15:20.148087089Z. Canonical report: https://octocounts.com/github/langchain-ai/deepagentsjs/commit/5f42f2df3c814bebbac445c759a34f96c10bc036?reportId=fc9b0d1f590e0fe14b21c95811a42ecf091a92bc8cd61714733dfc1b661c5356&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/langchain-ai/deepagentsjs/commit/5f42f2df3c814bebbac445c759a34f96c10bc036?reportId=fc9b0d1f590e0fe14b21c95811a42ecf091a92bc8cd61714733dfc1b661c5356&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does langchain-ai/deepagentsjs have?

langchain-ai/deepagentsjs has 108,077 total lines, including 77,987 code lines, 16,243 comment lines, and 13,847 blank lines.

### How was the langchain-ai/deepagentsjs line count measured?

OctoCounts resolved the public GitHub repository to commit 5f42f2df3c81, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for langchain-ai/deepagentsjs?

This OctoCounts report was generated from main at commit 5f42f2df3c81 on 2026-10-13T09:15:20.148087089Z.

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