# AI Agents and Patterns Hub > [!Note] > Sub-hub for the model-side and pattern-side of AI agents — what an > agent is, the prompting techniques that drive it, the loops that make > it autonomous, and the retrieval systems that ground it. ## 1. The agent itself - [[AI Agent]] - [[Agentic Loop]] - [[Multi-Agent System]] - [[Orchestrator-Subagent Pattern]] - [[Subagent Context Isolation]] - [[Compressed Summary Return]] - [[Ephemeral Subagent]] --- ## 2. Driving the model - [[Prompt Engineering]] - [[System Prompt]] - [[In-Context Learning]] - [[Chain-of-Thought]] --- ## 3. Action and reasoning patterns - [[Tool Use]] - [[ReAct Pattern]] - [[Reflection]] --- ## 4. Retrieval and grounding - [[Retrieval-Augmented Generation]] - [[Vector Database]] - [[Semantic Search]] - [[Embedding-Based Retrieval]] --- ## 5. Threats and failure modes - [[Prompt Injection]] - [[Hallucination]] --- ## 6. Anchor sources - [[Chain-of-Thought Prompting (Wei et al.)]] - [[ReAct (Yao et al.)]] - [[Retrieval-Augmented Generation (Lewis et al.)]] - [[Building Effective AI Agents]] - [[Multi-Agent AI Systems in 2026 (FlowHunt)]] - [[The Architecture of Scale - Anthropic Sub-Agents (Oswal)]] --- ## Up - [[0 - Modern AI Software Engineering Hub]]