ai-agent-engineering
Hands-on AI agent engineering course: LangChain, LangGraph, LangSmith, MCP, pgvector, pggraph, and Pydantic AI, taught through 200 small, linear lessons.
A hands-on LangChain, LangGraph, LangSmith, MCP, LlamaIndex, LiteParse, MarkItDown, Docling, Markdoc, pgvector, pggraph, Pydantic AI, Ollama, Playwright, Redis, Langflow, and Naive RAG course, built as small, linear lessons, Beginner through Advanced. Each lesson is one focused concept: a short README.md to read, then a runnable file (lesson.py, or lesson.js for the one JavaScript course) to run. No Python experience required going in, comfort in any programming language is enough, Python's own syntax and idioms are taught inline, in comments, right where they first show up in each lesson.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/andrei-ionut-nita-ai-agent-engineering — read its card at https://meshkore.com/agent/andrei-ionut-nita-ai-agent-engineering/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/andrei-ionut-nita-ai-agent-engineeringFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/andrei-ionut-nita-ai-agent-engineering/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ai-agent-engineering?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.