temporalio /

ai-integrations

AI Integrations for Temporal

A new way for AI to search for data
View on GitHub
34GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 33bc20b837 (2026-10-14).

Selected work

Avanish Garg
@avanish-garg

“Support resuming RunState inside workflows”. 4 files, 933 lines in python.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-21. 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

Example questions

The prompt

Paste it into your AI agent. It clones temporalio/ai-integrations at the pinned commit and indexes it on your machine.

Search the GitHub repository temporalio/ai-integrations with XERJ (https://hub.xerj.org/corpus/temporalio--ai-integrations).
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/temporalio/ai-integrations ai-integrations && git -C ai-integrations checkout 33bc20b8374a2f0ef237241ede9debbef10bb062
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ai-integrations --url http://127.0.0.1:9200 --prefix ai-integrations --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: MIT. Keep the copyright notice and credit the authors.

Related

Avanish GargAI, prompts and agents corpora

Selected work and consent: the XERJ registry.