AgentNotch
Native macOS notch status surface for autonomous coding agents
What XERJ indexed
Snapshot
The whole repository at commit 81aef3d1e0 (2026-10-05). main is 8 commits ahead.
Selected work
“support manual update flow for unsigned betas”. 18 files, 946 lines in Tests, Sources, script.
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
ai-agentsdeveloper-toolsmacosswiftswiftuiclaudeclaude-codecodex
Example questions
- How does AgentNotch implement ai-agents?
- Where does AgentNotch handle “support manual update flow for unsigned betas”?
- What does Sources do in AgentNotch?
Inside the indexed corpus
- 198 files, 2.9 MB in total, about 14.8 KB per file.
- The selected commit changed 18 of those files (9.1%).
- Languages by size: Swift 97.3%, Shell 2.6%, Ruby 0.1%.
- On GitHub since 2026-08-08, last push 2026-10-28, 166 commits on main.
- The pin is 8 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for Aforno/AgentNotch on 2026-10-29, and the LICENSE file at commit 81aef3d1e0 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Afonso Ferreira (@Aforno) has 1 selected repository on the hub.
Using XERJ with AgentNotch
- A local search tool for Codex and Cursor AgentNotch 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.
- ripgrep vs a code index for coding agents: 30 tasks
The prompt
Paste it into your AI agent. It clones Aforno/AgentNotch at the pinned commit and indexes it on your machine.
Search the GitHub repository Aforno/AgentNotch with XERJ (https://hub.xerj.org/corpus/aforno--agentnotch). 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/Aforno/AgentNotch AgentNotch && git -C AgentNotch checkout 81aef3d1e09b2ccbfe455e06353be4e8097a6826 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./AgentNotch --url http://127.0.0.1:9200 --prefix agentnotch --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
Afonso FerreiraAI, prompts and agents corporaplan-and-actvanguard-context-burnagnousagenow/usagenowReffWu/toknotchandriitk/cc-unibrow
Stats: GitHub API, fetched 2026-10-29. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.