Learn AI Agents for Free: A Complete Open-Source Repo on Architecture, Memory & Multi-Agent Systems

𝗟𝗲𝗮𝗿𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘
AI agents can plan, reason, use tools, access memory, and take actions on your behalf. They're quickly becoming the foundation of modern AI products.
To make this easier to understand, I built an open-source repository that covers the core concepts behind AI agents in a simple and practical way.
𝗚𝗶𝘁𝗵𝘂𝗯 𝗿𝗲𝗽𝗼 𝗵𝗲𝗿𝗲: https://lnkd.in/g7BmXKVr
𝗜𝗻𝘀𝗶𝗱𝗲 𝘆𝗼𝘂'𝗹𝗹 𝗳𝗶𝗻𝗱:
• Agent architectures
• Memory systems
• Planning and reasoning techniques
• Multi-agent workflows
• Tool calling and function execution
• RAG-powered agents
• Frameworks and implementation examples
Whether you're a developer, founder, or AI enthusiast, this repo can help you move from "using AI" to actually building with it.

What checks out conceptually:

• The definition of AI agents (plan, reason, use tools, access memory, take actions) is accurate and standard in the field
• Every listed topic — agent architectures, memory systems, planning/reasoning, multi-agent workflows, tool calling, RAG-powered agents, frameworks — represents real, well-established categories in AI agent engineering, consistent with what you've been studying in your own bootcamp work (Hybrid RAG, LangGraph, RAG pipelines)

What I couldn't verify:

• The shortened lnkd.in link redirects through LinkedIn's link tracker, which I can't follow to confirm the actual GitHub repo, its contents, star count, or authorship — so I can't confirm whether this repo genuinely exists as described, is a fork of another popular repo, or matches the claimed scope
• No repo name, author GitHub handle, or star count is given in the text itself to cross-check independently