Muhammad Umer Farooq
Muhammad Umer Farooq'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 @lablnet 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 agentic-ai-workshop corpus
lablnet/agentic-ai-workshop: Simple, readable AI agent examples covering tool calling, RAG, multi-agent collaboration, event-driven automation, guardrails, human…
- Look up how agentic-ai-workshop implements agent, langchian, langgraph, with answers cited to file and line.
- Reuse a worked example: the commit “Added gaurdrail agent example” (4 files · Python).
- Answer from agentic-ai-workshop's real Python source instead of memory (AI, prompts and agents).
- Where does agentic-ai-workshop handle “Added gaurdrail agent example”?
- How does agentic-ai-workshop implement agent?
- What does guardrails-agent do in agentic-ai-workshop?
Search the GitHub repository lablnet/agentic-ai-workshop with XERJ (https://hub.xerj.org/corpus/lablnet--agentic-ai-workshop). 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/lablnet/agentic-ai-workshop agentic-ai-workshop && git -C agentic-ai-workshop checkout f61fb95d5e2293dec04faa7753e84bbc486565d8 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./agentic-ai-workshop --url http://127.0.0.1:9200 --prefix agentic-ai-workshop --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 lablnet--agentic-ai-workshop · AI, prompts and agents
Related corpora: prompt-engineering-guide, cognita, AradwadTushar/langgraph-video-auditor, AJambla/APIWeaver-Autonomous-Multi-Agent-API-Integration-Platform
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
lablnet/agentic-ai-workshop
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/lablnet)
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.