ThinkNet

ThinkNet is an all-in-one AI platform to design LLMs, build reasoning models, implement research papers, and automate AI engineering.…

A new way for AI to search for data
View on GitHub
2GitHub stars

TypeScript, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 672e6e6ef1.

Selected work

Naksh Gupta
@Naksh7Gupta

14 files, 3,269 lines in src/components, src, backend.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-24. 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

aiai-researchartificial-intelligencedeep-learningllm

Example questions

The prompt

Paste it into your AI agent. It clones Naksh7Gupta/ThinkNet at the pinned commit and indexes it on your machine.

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.

Related

Selected work and consent: the XERJ registry.