uchiyomi
Self-hosted manga server, reader and downloader for manga, manhwa and webtoons. Serves your library like Komga or Kavita, follows series and fetches new chapters like Mihon (Tachiyomi extensions, MangaDex). Webtoon-first PWA reader, offline, multi-user, one Docker Compose file. Free and open source. Think Sonarr for manga, with a reader
What XERJ indexed
Snapshot
The whole repository at commit 8c27cf1c2e (2026-10-28). main is 154 commits ahead.
Selected work
“Fix source identity, complete manual search paging, and validate revi…”. 17 files, 277 lines in bff, web.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-29. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: approach only
cbzcomicsmangamanga-readermanhwamedia-servermihonpwa
Example questions
- How does uchiyomi implement cbz?
- What does bff do in uchiyomi?
- Show the comics code in uchiyomi.
Inside the indexed corpus
- 1,587 files, 35.3 MB in total, about 22.8 KB per file.
- The selected commit changed 17 of those files (1.1%).
- Languages by size: TypeScript 87.9%, JavaScript 10.6%, Python 0.6%, Shell 0.3%, CSS 0.2%.
- On GitHub since 2026-06-23, last push 2026-10-29, 1,659 commits on main.
- The pin is 154 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MPL-2.0 for AngeloSha/uchiyomi on 2026-10-29, and the LICENSE file at commit 8c27cf1c2e was reviewed as MPL-2.0. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
AngeloSha (@AngeloSha) has 1 selected repository on the hub.
Using XERJ with uchiyomi
- ripgrep vs a code index for coding agents: 30 tasks
- Best MCP servers for local code search in 2026, compared
- Best grep alternative for AI coding agents (2026)
- Ask questions about a GitHub repo without cloning it
The prompt
Paste it into your AI agent. It clones AngeloSha/uchiyomi at the pinned commit and indexes it on your machine.
Search the GitHub repository AngeloSha/uchiyomi with XERJ (https://hub.xerj.org/corpus/angelosha--uchiyomi). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/AngeloSha/uchiyomi uchiyomi && git -C uchiyomi checkout 8c27cf1c2eb012d0ebc517e44723b5c26c75979a 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./uchiyomi --url http://127.0.0.1:9200 --prefix uchiyomi --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MPL-2.0. Read it for the approach only, do not copy code.
Related
AngeloShaWeb and frontend platform corporaedliz-zimbabwe-treatment-guidelinesdunorth595--ai-agent-memorydunorth595--ai-agent-chatberti12423/MihonTogetherMereithhh/very-happyabsolutepraya/marka
Stats: GitHub API, fetched 2026-10-29. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.