Keshav Ranjan Yadav
Keshav Ranjan Yadav'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 @ksav1234 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 orbit corpus
ksav1234/orbit: agnostic AI agent for terminal
- Reuse a worked example: the commit “Fixed Applied on Self-Improvement & in-context learning” (78 files · TypeScript).
- Answer from orbit's real TypeScript source instead of memory (AI, prompts and agents).
- Where does orbit handle “Fixed Applied on Self-Improvement & in-context learning”?
- What does tests do in orbit?
Search the GitHub repository ksav1234/orbit with XERJ (https://hub.xerj.org/corpus/ksav1234--orbit). 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/ksav1234/orbit orbit && git -C orbit checkout f224e9aa6736e3d7f700a3172665843c5d4d724f 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./orbit --url http://127.0.0.1:9200 --prefix orbit --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 ksav1234--orbit · AI, prompts and agents
Related corpora: autorag, adalflow, brex-prompt-engineering, atomic-agents
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
ksav1234/orbit
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/ksav1234)
Included with the author's permission (email, 2026-10-21), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.