oneroof
A native Mac command center for the coding agents you run: Claude Code, Codex, Kimi, Gemini CLI, Antigravity: plus a kit that keeps them on one workspace, one memory, one rulebook
What XERJ indexed
Snapshot
The whole repository at commit 567c57e1e7 (2026-10-27). main is 243 commits ahead.
Selected work
“LAB-1305 · [lab-oneroof-ui-redesign] 1.9.6 Learn card shows the repo'…”. 5 files, 317 lines in app/Sources, app/Tests.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-27. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
agentic-engineeringai-agentsclaude-codecodexdeveloper-toolsgemini-clilibghosttymacos
Example questions
- How does oneroof implement agentic-engineering?
- What does app/Sources do in oneroof?
- Show the ai-agents code in oneroof.
Inside the indexed corpus
- Languages by size: Swift 90.5%, Python 4.4%, Shell 3.1%, HTML 0.8%, Zig 0.5%.
- On GitHub since 2026-10-19, last push 2026-10-30, 576 commits on main.
- The pin is 243 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for gaurav8936/oneroof on 2026-10-29, and the LICENSE file at commit 567c57e1e7 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
gaurav8936 (@gaurav8936) has 1 selected repository on the hub.
Using XERJ with oneroof
- A local search tool for Codex and Cursor oneroof is tagged claude-code on GitHub.
- Local code search MCP that uses fewer tokens than grep
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Best grep alternative for AI coding agents (2026)
The prompt
Paste it into your AI agent. It clones gaurav8936/oneroof at the pinned commit and indexes it on your machine.
Search the GitHub repository gaurav8936/oneroof with XERJ (https://hub.xerj.org/corpus/gaurav8936--oneroof). 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/gaurav8936/oneroof oneroof && git -C oneroof checkout 567c57e1e71b97c93936209a750f5ecaa5410acf 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./oneroof --url http://127.0.0.1:9200 --prefix oneroof --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
gaurav8936AI, prompts and agents corporafaahvanguard-context-burnharperAforno/AgentNotchchattymin/PokeTokenBarReffWu/toknotch
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.