Lavender Anyango

Corpus Hub contributor since 2026-10-22

Lavender Anyango'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

8files

425lines

★ 47GitHub stars on repo

Totals across every corpus @ven8462 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 open-chat-studio corpus

dimagi/open-chat-studio: A web based platform for building Chatbots backed by Large Language Models

Look up how open-chat-studio implements ai, chatbot, with answers cited to file and line.
Reuse a worked example: the commit “un-archive a chatbot from its detail page” (8 files · Python).
Answer from open-chat-studio's real Python source instead of memory (AI, prompts and agents).

Example questions

Where does open-chat-studio handle “un-archive a chatbot from its detail page”?
How does open-chat-studio implement ai?
What does apps/chatbots do in open-chat-studio?

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

Search the GitHub repository dimagi/open-chat-studio with XERJ (https://hub.xerj.org/corpus/dimagi--open-chat-studio).
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/dimagi/open-chat-studio open-chat-studio && git -C open-chat-studio checkout 90721dc06b8b4308e11e931b94fdd251bf4c56eb
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./open-chat-studio --url http://127.0.0.1:9200 --prefix open-chat-studio --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: BSD-3-Clause. Keep the copyright notice and credit the authors.

corpus dimagi--open-chat-studio · AI, prompts and agents
Related corpora: adalflow, cognita, hazemkhaled-94/faq_generator, Cubinghackerz/ai.diy
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 47

dimagi/open-chat-studio

90721dc06b feat: un-archive a chatbot from its detail page

selected commit: 8 files · 425 lines · Python · apps/chatbots, templates, apps/experiments

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

selected · in licence reviewcorpus dimagi--open-chat-studioAIBSD-3-Clauseaichatbot agreed 2026-10-22

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/ven8462/badge.svg)](https://hub.xerj.org/contributors/ven8462)

Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.