agentic-ai-workshop

Simple, readable AI agent examples covering tool calling, RAG, multi-agent collaboration, event-driven automation, guardrails, human…

A new way for AI to search for data
View on GitHub
3GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit f61fb95d5e (2026-10-21).

Selected work

“Added gaurdrail agent example”. 4 files, 164 lines in guardrails-agent.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

agentlangchianlanggraphlearningmulti-toolsragreact

Example questions

The prompt

Paste it into your AI agent. It clones lablnet/agentic-ai-workshop at the pinned commit and indexes it on your machine.

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.

Related

Selected work and consent: the XERJ registry.