TaskVex

Windows AI assistant for real-time voice interaction and tool-driven desktop workflows. Built with Python, WebView2 and Gemini Live

A new way for AI to search for data
View on GitHub
2GitHub stars
60commits on main
0forks

Python 73%, JavaScript 23.9%, HTML 1.6%, CSS 1.4% · created 2026-10-20 · last push 2026-10-29

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit dc7931801a (2026-10-22). main is 50 commits ahead.

Selected work

Batu Ergül
@Walbertb4

“preserve bounded Live conversation memory across sessio…”. 10 files, 324 lines in v1.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-25. 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

ai-assistantdesktop-automationgemini-apijavascriptpythonpywebviewrealtime-audiotool-calling

Example questions

Inside the indexed corpus

Licence on GitHub and in the corpus

GitHub reported MIT for Walbertb4/TaskVex on 2026-10-29, and the LICENSE file at commit dc7931801a was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.

Contributors

Batu Ergül (@Walbertb4) has 1 selected repository on the hub.

Using XERJ with TaskVex

The prompt

Paste it into your AI agent. It clones Walbertb4/TaskVex at the pinned commit and indexes it on your machine.

Search the GitHub repository Walbertb4/TaskVex with XERJ (https://hub.xerj.org/corpus/walbertb4--taskvex).
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/Walbertb4/TaskVex TaskVex && git -C TaskVex checkout dc7931801a83877e3a86c88b292072195c140e6b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./TaskVex --url http://127.0.0.1:9200 --prefix taskvex --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

Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.