WhatsApp_Cruise_Control
A retrieval-grounded WhatsApp persona AI agent featuring relationship routing, safety decision gates, ChromaDB RAG, and Streamlit monitoring
What XERJ indexed
Snapshot
The whole repository at commit ff815d09ec (2026-10-06). main is 1 commit ahead.
Selected work
“resolve intent classification NameError and router test i…”. 4 files, 273 lines in console, agent, the project root.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-30. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
ai-agentbaileyschromadbgemini-apipersona-aipythonragstreamlit
Example questions
- How does WhatsApp_Cruise_Control implement ai-agent?
- What does console do in WhatsApp_Cruise_Control?
- Show the baileys code in WhatsApp_Cruise_Control.
Inside the indexed corpus
- 37 files, 381.4 KB in total, about 10.3 KB per file.
- The selected commit changed 4 of those files (10.8%).
- Languages by size: Python 91.9%, JavaScript 8.1%.
- On GitHub since 2026-09-14, last push 2026-10-31, 40 commits on main.
- The pin is 1 commit behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported Apache-2.0 for PatilParas05/WhatsApp_Cruise_Control on 2026-10-31, and the LICENSE file at commit ff815d09ec was reviewed as Apache-2.0. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Paras Patil (@PatilParas05) has 1 selected repository on the hub.
Using XERJ with WhatsApp_Cruise_Control
- RAG without a vector database: one hybrid index WhatsApp_Cruise_Control is tagged rag on GitHub.
- Search API or a vector database for agent memory?
- Index a reference library for a coding agent
- ripgrep vs a code index for coding agents: 30 tasks
The prompt
Paste it into your AI agent. It clones PatilParas05/WhatsApp_Cruise_Control at the pinned commit and indexes it on your machine.
Search the GitHub repository PatilParas05/WhatsApp_Cruise_Control with XERJ (https://hub.xerj.org/corpus/patilparas05--whatsapp-cruise-control). 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/PatilParas05/WhatsApp_Cruise_Control WhatsApp_Cruise_Control && git -C WhatsApp_Cruise_Control checkout ff815d09ec255275f36a459fef054811545260be 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./WhatsApp_Cruise_Control --url http://127.0.0.1:9200 --prefix whatsapp-cruise-control --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: Apache-2.0. Keep the copyright notice and credit the authors.
Related
Paras PatilAI, prompts and agents corporaadalflowfastragawesome-llm-appsthekaifansari01/Jarvis-OS-Agentnightx-rebel/socksyjzjzzzzzzz/agent-me
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.