Rijan Bhattarai

Corpus Hub contributor since 2026-10-24

Rijan Bhattarai'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.

1corpus

1selected commit

19files

967lines

★ 1GitHub stars on repo

Totals across every corpus @Rijan-Ja-Bhattarai 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 Multiplayer-AI corpus

Rijan-Ja-Bhattarai/Multiplayer-AI: Multiplayer AI is an open-source shared workspace where humans and AI agents collaborate in real time, share context, delegate work, and…

Look up how Multiplayer-AI implements agent, agentic-ai, agentic-workflow, with answers cited to file and line.
Reuse a worked example: the commit “Add local model cookbook workflow and remove unused code” (19 files · Python).
Answer from Multiplayer-AI's real Python source instead of memory (AI, prompts and agents).

Example questions

Where does Multiplayer-AI handle “Add local model cookbook workflow and remove unused code”?
How does Multiplayer-AI implement agent?
What does desktop_app do in Multiplayer-AI?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository Rijan-Ja-Bhattarai/Multiplayer-AI with XERJ (https://hub.xerj.org/corpus/rijan-ja-bhattarai--multiplayer-ai).
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/Rijan-Ja-Bhattarai/Multiplayer-AI Multiplayer-AI && git -C Multiplayer-AI checkout d91015899f5220523e536e46bdef83dede0cd264
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Multiplayer-AI --url http://127.0.0.1:9200 --prefix multiplayer-ai --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 rijan-ja-bhattarai--multiplayer-ai · AI, prompts and agents
Related corpora: controlflow, camel, jztan/redmine-mcp-server, ModelEngine-Group/nexent
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

Rijan-Ja-Bhattarai/Multiplayer-AI

d91015899f Add local model cookbook workflow and remove unused code

selected commit: 19 files · 967 lines · Python · desktop_app, tests, the project root

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus rijan-ja-bhattarai--multiplayer-aiAIMITagentagentic-aiagentic-workflowartificial-intelligencesoftwaresoftware-tools agreed 2026-10-24

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.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/Rijan-Ja-Bhattarai/badge.svg)](https://hub.xerj.org/contributors/Rijan-Ja-Bhattarai)

Included with the author's permission (email, 2026-10-24), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.