Naksh Gupta
Naksh Gupta'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 @Naksh7Gupta 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 ThinkNet corpus
Naksh7Gupta/ThinkNet: ThinkNet is an all-in-one AI platform to design LLMs, build reasoning models, implement research papers, and automate AI engineering.…
- Look up how ThinkNet implements ai, ai-research, artificial-intelligence, with answers cited to file and line.
- Answer from ThinkNet's real TypeScript source instead of memory (AI, prompts and agents).
- How does ThinkNet implement ai?
- What does src/components do in ThinkNet?
Search the GitHub repository Naksh7Gupta/ThinkNet with XERJ (https://hub.xerj.org/corpus/naksh7gupta--thinknet). 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/Naksh7Gupta/ThinkNet ThinkNet && git -C ThinkNet checkout 672e6e6ef13afc998e59531b9ac5cb1cb7ddc85e 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./ThinkNet --url http://127.0.0.1:9200 --prefix thinknet --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 naksh7gupta--thinknet · AI, prompts and agents
Related corpora: cognita, haystack, vmDeshpande/Arcon, mughalhere/prompt-protection
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
Naksh7Gupta/ThinkNet
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/Naksh7Gupta)
Included with the author's permission (email, 2026-10-24), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.