# HUST-AI-HYZ/MemoryAgentBench SLOC report

> As of 2026-09-04 (commit fe1735de8cf8), HUST-AI-HYZ/MemoryAgentBench contains 101,453 total lines: 78,449 code, 7,367 comments, 15,637 blank, across 993 files in 11 languages (top: Python 98.9%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving HUST-AI-HYZ/MemoryAgentBench to commit fe1735de8cf8, 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 77.3% of all lines, comments represent 7.3%, and the repository averages 79 code lines per file. Python accounts for 98.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 867 | 98,514 | 77,602 | 5,702 | 15,210 |
| YAML | 52 | 651 | 521 | 61 | 69 |
| Shell | 7 | 222 | 153 | 19 | 50 |
| JSON | 2 | 146 | 146 | 0 | 0 |
| HTML | 1 | 20 | 17 | 0 | 3 |
| JavaScript | 1 | 40 | 9 | 31 | 0 |
| CSS | 1 | 1 | 1 | 0 | 0 |
| INI | 1 | 0 | 0 | 0 | 0 |
| Jupyter Notebooks | 1 | 0 | 0 | 0 | 0 |
| Markdown | 4 | 226 | 0 | 140 | 86 |
| Plain Text | 56 | 1,633 | 0 | 1,414 | 219 |

Top language (Python 98.9%). Generated at 2026-09-04T07:29:16.136578077+00:00. Canonical report: https://octocounts.com/github/HUST-AI-HYZ/MemoryAgentBench

## Report FAQ

### How many lines of code does HUST-AI-HYZ/MemoryAgentBench have?

HUST-AI-HYZ/MemoryAgentBench has 101,453 total lines, including 78,449 code lines, 7,367 comment lines, and 15,637 blank lines.

### How was the HUST-AI-HYZ/MemoryAgentBench line count measured?

OctoCounts resolved the public GitHub repository to commit fe1735de8cf8, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for HUST-AI-HYZ/MemoryAgentBench?

This OctoCounts report was generated from main at commit fe1735de8cf8 on 2026-09-04T07:29:16.136578077+00:00.

## Similar repository reports

- [langchain-ai/langgraph](https://octocounts.com/github/langchain-ai/langgraph) — Python, 79,253 code lines
- [khoj-ai/khoj](https://octocounts.com/github/khoj-ai/khoj) — Python, 77,498 code lines
- [calesthio/OpenMontage](https://octocounts.com/github/calesthio/OpenMontage) — Python, 77,451 code lines
- [KurimuzonAkuma/kurigram](https://octocounts.com/github/KurimuzonAkuma/kurigram) — Python, 74,797 code lines
- [yukkcat/chatgpt2api](https://octocounts.com/github/yukkcat/chatgpt2api) — Python, 74,215 code lines
- [inliver233/Random-image-api](https://octocounts.com/github/inliver233/Random-image-api) — Python, 84,463 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [OctoCounts API docs](https://octocounts.com/docs/api)