Imaduddin Bhaisaheb

Corpus Hub contributor since 2026-10-21

Imaduddin Bhaisaheb'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

5files

517lines

★ 9,406GitHub stars on repo

Totals across every corpus @Imad2702 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 local-deep-research corpus

LearningCircuit/local-deep-research: ~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines…

Look up how local-deep-research implements academia, arxiv, brave, with answers cited to file and line.
Reuse a worked example: the commit “match stored model IDs case-insensitively on the settings p…” (5 files · JavaScript).
Answer from local-deep-research's real JavaScript source instead of memory (AI, prompts and agents).

Example questions

How does local-deep-research implement academia?
What does tests do in local-deep-research?

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

Search the GitHub repository LearningCircuit/local-deep-research with XERJ (https://hub.xerj.org/corpus/learningcircuit--local-deep-research).
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/LearningCircuit/local-deep-research local-deep-research && git -C local-deep-research checkout 65f91380e70fedac2bd57f54563f289b51a28368
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./local-deep-research --url http://127.0.0.1:9200 --prefix local-deep-research --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 learningcircuit--local-deep-research · AI, prompts and agents
Related corpora: pubmedqa, act, jannisborn/paperscraper, juanhuttemann/deep-research
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 9,406

LearningCircuit/local-deep-research

65f91380e7 fix(web): match stored model IDs case-insensitively on the settings p…

selected commit: 5 files · 517 lines · JavaScript · tests, src/local_deep_research

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

selected · in licence reviewcorpus learningcircuit--local-deep-researchAIMITacademiaarxivbravedeep-researchlocallocal-llm agreed 2026-10-21

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/Imad2702/badge.svg)](https://hub.xerj.org/contributors/Imad2702)

Included with the author's permission (email, 2026-10-21), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.