this is a repo to die for.
a collection of LLM apps with multi-agents, MCP, RAG and so much more.
the best way to learn is by building, and this repo provides the blueprint.
AI Agents, the practical guidebook.
5 patterns. 5 levels. 12 real projects.
Everything shown step by step 👇
What's inside?
1. What is an AI Agent?
2. Agent vs LLM vs RAG
3. LLM (Large Language Model)
4. RAG (Retrieval-Augmented Generation)
5. Building blocks of AI Agents
↳ Role-playing
↳ Focus/Tasks
↳ Tools (Custom tools, via MCP)
↳ Cooperation
↳ Guardrails
↳ Memory
6. Agentic AI Design Patterns
↳ Reflection pattern
↳ Tool use pattern
↳ ReAct (Reason and Act) pattern
↳ Planning pattern
↳ Multi-Agent pattern
7. Levels of Agentic AI Systems
↳ Basic responder
↳ Router pattern
↳ Tool calling
↳ Multi-agent pattern
↳ Autonomous pattern
8. AI Agents Projects
↳ Agentic RAG
↳ Voice RAG Agent
↳ Multi-agent Flight finder
↳ Financial Analyst
↳ Brand Monitoring System
↳ Multi-agent Hotel Finder
↳ Multi-agent Deep Researcher
↳ Human-like Memory for Agents
↳ Multi-agent Book Writer
↳ Multi-agent Content Creation System
↳ Documentation Writer Flow
↳ News Generator
Comment "Agents" and I'll DM you the 117 pages PDF.
Guidebook created by Daily Dose of Data Science.
♻ Repost if you found this useful.
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