Agent Concepts

Core concepts in AI agent development — memory architectures, multi-agent collaboration, evaluation, cost optimization, and skill management.

June 9, 2026
agent-conceptsmemorymulti-agentevaluationcost-optimizationskills

Agent Concepts

Foundational concepts for building reliable, scalable AI agents. These guides cover architectural patterns, evaluation methodology, and operational considerations independent of any specific framework or platform.

What You'll Find Here

  • Architecture patterns — memory systems, multi-agent coordination, tool-use strategies
  • Evaluation & benchmarking — how to measure agent performance systematically
  • Cost optimization — strategies for managing LLM costs in agentic workloads
  • Practical workflows — chaining HF Spaces, training skill documents, voice agents

Note:

Start with Agent Memory Architectures — it's the foundation that multi-agent systems and skill management build on. Then move to Multi-Agent Collaboration to see how memory enables coordination.

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