mayu
Fast Python task queue with a Rust core, built for free-threaded (no-GIL) Python. Redis-backed Celery alternative
What XERJ indexed
Selected work
“linger= on pools and --lookahead loading from workflow demand”. 7 files, 398 lines in tests, python.
Licence
The repository
From GitHub's licence detection. A person still checks the LICENSE file at the pinned commit.
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.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
asynciobackground-jobscelerycelery-alternativedistributed-systemsfree-threadingjob-queuenogil
Example questions
- How does mayu implement asyncio?
- Where does mayu handle “linger= on pools and --lookahead loading from workflow demand”?
- What does python do in mayu?
The prompt
Paste it into your AI agent. It clones Siddid-Soni/mayu at the pinned commit and indexes it on your machine.
Search the GitHub repository Siddid-Soni/mayu with XERJ (https://hub.xerj.org/corpus/siddid-soni--mayu). 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/Siddid-Soni/mayu mayu && git -C mayu checkout 247c416343d18d8e35b70d5655dda6bd858014ef 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./mayu --url http://127.0.0.1:9200 --prefix mayu --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
SiddidDatabases and storage engines corporaaiohttpaioquichttpxjanbjorge/pgqueuergaurav10610/oxmqkhdkkhdd/linkstart
Selected work and consent: the XERJ registry.