Ahmed Muzammil
Ahmed Muzammil'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 @mze3e 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 kognita corpus
mze3e/kognita: Content guardrails check what an AI says. Kognita decides whether it was allowed to ask, before any data is retrieved. An AI gateway and an
- Reuse a worked example: the commit “resolve effective client scope once for authority, li…” (9 files · Python).
- Answer from kognita's real Python source instead of memory (AI, prompts and agents).
- What does tests do in kognita?
Search the GitHub repository mze3e/kognita with XERJ (https://hub.xerj.org/corpus/mze3e--kognita). 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/mze3e/kognita kognita && git -C kognita checkout cd62f9576066e7aa2c313036ab633b52dad5caa2 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./kognita --url http://127.0.0.1:9200 --prefix kognita --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 mze3e--kognita · AI, prompts and agents
Related corpora: camel, instructor, awesome-llm-apps, fastmcp
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
mze3e/kognita
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/mze3e)
Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.