taytay
Taytay is a Rust Linux edge bridge for durable, resumable Lunsaran uploads. It turns completed output from cameras, NVRs, files, and field sources into checksummed local jobs, then transfers them through Lunsaran and Brutus/TUS
What XERJ indexed
Snapshot
The whole repository at commit d78c4abe25 (2026-10-20). main is 18 commits ahead.
Selected work
“wire executable Entregar upload runtime”. 6 files, 291 lines in crates/taytay, config.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
Example questions
- Where does taytay handle “wire executable Entregar upload runtime”?
- What does crates/taytay do in taytay?
Inside the indexed corpus
- 63 files, 239.5 KB in total, about 3.8 KB per file.
- The selected commit changed 6 of those files (9.5%).
- Languages by size: Rust 87.4%, Shell 12.6%.
- On GitHub since 2026-09-28, last push 2026-10-29, 68 commits on main.
- The pin is 18 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported Apache-2.0 for kanutocd/taytay on 2026-10-31, and the LICENSE file at commit d78c4abe25 was reviewed as Apache-2.0. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Ken C. Demanawa (@kanutocd) has 10 selected repositories on the hub.
Their other repository pages: kanutocd/whodunit, kanutocd/gem-guardian, kanutocd/cdc-concurrent, kanutocd/cdc-core, kanutocd/cdc-parallel, kanutocd/pgoutput-client.
Using XERJ with taytay
- Search an OpenAPI spec so an agent can find endpoints The hub files it under API design and specification.
- Ask questions about a GitHub repo without cloning it
- Index a reference library for a coding agent
- ripgrep vs a code index for coding agents: 30 tasks
The prompt
Paste it into your AI agent. It clones kanutocd/taytay at the pinned commit and indexes it on your machine.
Search the GitHub repository kanutocd/taytay with XERJ (https://hub.xerj.org/corpus/kanutocd--taytay). 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/kanutocd/taytay taytay && git -C taytay checkout d78c4abe25d0ed293df37d509f59bfb32e99ae75 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./taytay --url http://127.0.0.1:9200 --prefix taytay --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: Apache-2.0. Keep the copyright notice and credit the authors.
Related
Ken C. DemanawaAPI design and specification corpora
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.