orbit

agnostic AI agent for terminal

A new way for AI to search for data
View on GitHub
3GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit f224e9aa67 (2026-10-21).

Selected work

“Fixed Applied on Self-Improvement & in-context learning”. 78 files, 5,523 lines in tests, src/agent, src/context.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-21. 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

Example questions

The prompt

Paste it into your AI agent. It clones ksav1234/orbit at the pinned commit and indexes it on your machine.

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.

Related

Selected work and consent: the XERJ registry.