core-brain
Why should context be limited? Build smarter memory for your AI agents
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“improves”. 6 files, 222 lines in global, tests, scripts.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-23. 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
- Where does core-brain handle “improves”?
- What does global do in core-brain?
The prompt
Paste it into your AI agent. It clones open-eletric-sheep-count/core-brain at the pinned commit and indexes it on your machine.
Search the GitHub repository open-eletric-sheep-count/core-brain with XERJ (https://hub.xerj.org/corpus/open-eletric-sheep-count--core-brain). 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/open-eletric-sheep-count/core-brain core-brain && git -C core-brain checkout af77bf29e18c153039b1467884b9b6836d6e3c43 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./core-brain --url http://127.0.0.1:9200 --prefix core-brain --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
Edson Vicente Carli JuniorAI, prompts and agents corpora
Selected work and consent: the XERJ registry.