Logesh Periyasamy
Logesh Periyasamy'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 @l0gesh29 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 jarvis corpus
aerele/jarvis: Jarvis - The AI teammate inside ERPNext
- Look up how jarvis implements ai, ai-agents, enterprise-ai, with answers cited to file and line.
- Reuse a worked example: the commit “copy a reply as formatted text, not raw Markdown” (5 files · JavaScript, Vue).
- Answer from jarvis's real JavaScript source instead of memory (AI, prompts and agents).
- Where does jarvis handle “copy a reply as formatted text, not raw Markdown”?
- How does jarvis implement ai?
- What does frontend do in jarvis?
Search the GitHub repository aerele/jarvis with XERJ (https://hub.xerj.org/corpus/aerele--jarvis). 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/aerele/jarvis jarvis && git -C jarvis checkout fa6c232a69a0531a110459cab509a144513e5e28 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./jarvis --url http://127.0.0.1:9200 --prefix jarvis --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: AGPL-3.0. Read it for the approach only, do not copy code.
corpus aerele--jarvis · AI, prompts and agents
Related corpora: agno, chroma, J-StaR-Films-Studios/VibeCode-Protocol-Suite, TheyanzXD/opencode-telegram-gateway
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
aerele/jarvis
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/l0gesh29)
Included with the author's permission (email, 2026-10-19), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.