MAN$I VERMA 🦀

What an agent can do with the neurolink corpus

juspay/neurolink: The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types…

• Look up how neurolink implements ai, developer-tools, llm, with answers cited to file and line.
• Reuse a worked example: the commit “honor egress proxy for command requests” (16 files · TypeScript, JavaScript).
• Answer from neurolink's real TypeScript source instead of memory (AI, prompts and agents).

• Where does neurolink handle “honor egress proxy for command requests”?
• How does neurolink implement ai?
• What does test do in neurolink?

Search the GitHub repository juspay/neurolink with XERJ (https://hub.xerj.org/corpus/juspay--neurolink).
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/juspay/neurolink neurolink && git -C neurolink checkout ed63f84a4a6b3241a82dd12e8ee71aab7f38dd1d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./neurolink --url http://127.0.0.1:9200 --prefix neurolink --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 juspay--neurolink · AI, prompts and agents
Related corpora: agno, fastmcp, burakdede/lorepack, kanghyunsoon/duo
AI search and retrieval with XERJ · Case study: reference coding for agents