Top Agentic AI Architectures You Should Know
Published July 15, 2025
Top Agentic AI Architectures You Should Know
Agentic AI is no longer just a concept - it is the foundation of how smarter AI systems are being built today.
Whether you are an AI engineer, automation architect, or building LLM -powered products, understanding Agentic Architecture Patterns is critical.
๐๐๐ซ๐ ๐๐ซ๐ ๐ ๐๐จ๐ซ๐ ๐๐๐ฉ๐๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ ๐ญ๐ก๐๐ญ ๐ฉ๐จ๐ฐ๐๐ซ ๐ฆ๐จ๐๐๐ซ๐ง ๐๐ ๐๐ง๐ญ๐ข๐ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ:
- ๐๐ฅ๐๐ง๐ง๐ข๐ง๐ : Goal setting, task breakdowns
- ๐๐๐ฆ๐จ๐ซ๐ฒ: Context recall, session tracking
- ๐๐จ๐จ๐ฅ๐ฌ: API calling, plugin use
- ๐๐จ๐ฅ๐ฅ๐๐๐จ๐ซ๐๐ญ๐ข๐จ๐ง: Multi-agent roles, agent handoffs
- ๐๐ฑ๐๐๐ฎ๐ญ๐ข๐จ๐ง: Self-healing workflows, dynamic retries
- ๐๐ซ๐๐ก๐๐ฌ๐ญ๐ซ๐๐ญ๐ข๐จ๐ง: Event handling, LLM-tool switching
๐ ๐ซ๐๐ฆ๐๐ฐ๐จ๐ซ๐ค๐ฌ ๐ฐ๐จ๐ซ๐ญ๐ก ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐ข๐ง๐ :
- LangGraph
- AutoGen
- CrewAI
- AgentOps
- Haystack Agents
- OpenAgents
- SuperAGI
- MetaGPT
- Flowise
- CAMEL
๐๐๐ง๐ญ ๐ญ๐จ ๐๐ข๐ฏ๐ ๐๐๐๐ฉ๐๐ซ? Explore tools, YouTube channels, websites & datasets that fuel this revolution.
This is the architecture roadmap behind the future of AI agents.
Are you building with it?
#AgenticAI #LLM #AIarchitecture #LangChain #AutoGen #MultiAgentSystems #GenAI #AIengineering #AItools #AIworkflow
Originally posted on LinkedIn ยท 164 likes ยท 29 comments