neural-maze/philoagents-course resource

Health v2 · maintenance only

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1537 stars · 329 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source course teaching how to build an AI-powered game simulation engine where agents impersonate historical philosophers like Plato and Turing. It covers agentic RAG systems, LLMOps, and production engineering using LangGraph, Groq, MongoDB, Opik, FastAPI, and Docker.

Use cases

• learn to build AI agents for game NPCs
• build an agentic RAG system from scratch
• simulate philosopher characters in a game
• learn LLMOps best practices with LangGraph
• deploy an AI agent as a RESTful API
• create AI-powered character simulation engines

When to choose

• you want a hands-on course on building agentic applications
• you want to learn production RAG and LLMOps patterns
• you want to add AI-driven NPCs to a game
• you prefer learning with real tools like LangGraph, MongoDB, and Groq

When to avoid

• you need a production-ready game engine rather than a course
• you want a no-code or beginner AI tutorial
• you need non-Python or non-LLM agent frameworks
• you only want a library to import rather than educational material

Facets

learning-resource · maturity active

agent-framework rag llm-inference machine-learning artificial-intelligence large-language-models education tutorials python self-hosted agentic-workflow langgraph llmops npc-simulation philosophy course fastapi groq mongodb opik ai-agents retrieval-augmented-generation game-development docker

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markdown · JSON · MCP: product_card(name="neural-maze/philoagents-course")