🤝 Work with me: https://aibuilder.academy/yt/Mi5wOpAgixw
AI agents have revolutionized how we use and build LLMs. However, single-agent systems have their limits. Here, I give a beginner-friendly introduction to multi-agent systems and where they are today.
▶️ AI Agents Playlist: https://www.youtube.com/playlist?list=PLz-ep5RbHosU02OKABBkbsQrYWmQfoZMH
References
[1] https://blogs.nvidia.com/blog/ai-scaling-laws/
[2] https://research.trychroma.com/context-rot
[3] https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents
[4] arXiv:2512.08296 [cs.AI]
[5] https://www.anthropic.com/engineering/building-c-compiler
[6] https://www.anthropic.com/engineering/multi-agent-research-system
[7] https://code.claude.com/docs/en/agent-teams
Intro - 0:00
AI Agents - 0:15
Limits of Single-agent Systems (SAS) - 1:10
Multi-agent Systems (MAS) - 2:07
SAS vs MAS - 3:15
4 Architectures for MAS - 6:52
Arch 1: Independent - 7:17
Arch 2: Decentralized - 8:57
Arch 3: Centralized - 12:02
Arch 4: Hybrid - 13:24
Limitations - 14:41
Takeaways - 16:08
