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What an agent can do with the diagram-first-agent corpus

hyper-open/diagram-first-agent: Agent 学习手册：一套以架构图为主线的中文 Agent 教程，它先给出 Agent 平台的分层总览，再沿八级演进逐层展开：ReAct → 工具调用 → 模型网关 → 工具网关 → RAG → 意图识别 → 多 Agent →…

• Look up how diagram-first-agent implements agent, agent-architecture, agentic-ai, with answers cited to file and line.
• Reuse a worked example: the commit “Mini Agent v2 与 v3，从单循环到可上线平台” (26 files · Python).
• Answer from diagram-first-agent's real Python source instead of memory (AI, prompts and agents).

• Where does diagram-first-agent handle “Mini Agent v2 与 v3，从单循环到可上线平台”?
• How does diagram-first-agent implement agent?
• What does examples do in diagram-first-agent?

Search the GitHub repository hyper-open/diagram-first-agent with XERJ (https://hub.xerj.org/corpus/hyper-open--diagram-first-agent).
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/hyper-open/diagram-first-agent diagram-first-agent && git -C diagram-first-agent checkout e4f72d08228ce73bcd499841959c4948f4f62418
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./diagram-first-agent --url http://127.0.0.1:9200 --prefix diagram-first-agent --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 hyper-open--diagram-first-agent · AI, prompts and agents
Related corpora: autorag, camel, ModelEngine-Group/nexent, jzjzzzzzzz/agent-me
AI search and retrieval with XERJ · Case study: reference coding for agents