Mohit
Mohit's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @mohitchauhan1324325 appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the Voxara corpus
mohitchauhan1324325/Voxara: **Voxara** is an AI-powered work assistant that turns natural-language conversations into actionable workflows. It can view, create, find…
- Look up how Voxara implements ai, ai-voice-agent, ai-voice-assistant, with answers cited to file and line.
- Reuse a worked example: the commit “add task management UI and functionality” (5 files · JavaScript).
- Answer from Voxara's real JavaScript source instead of memory (AI, prompts and agents).
- Where does Voxara handle “add task management UI and functionality”?
- How does Voxara implement ai?
- What does backend do in Voxara?
Search the GitHub repository mohitchauhan1324325/Voxara with XERJ (https://hub.xerj.org/corpus/mohitchauhan1324325--voxara). 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/mohitchauhan1324325/Voxara Voxara && git -C Voxara checkout 5cefddd031e7e458f5994d13e498ed8619d1a05f 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Voxara --url http://127.0.0.1:9200 --prefix voxara --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.
corpus mohitchauhan1324325--voxara · AI, prompts and agents
Related corpora: awesome-mcp-servers, swagger-ui, Cubinghackerz/ai.diy, repowise-dev/repowise
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
mohitchauhan1324325/Voxara
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/mohitchauhan1324325)
Included with the author's permission (email, 2026-10-17), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.