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←Library/AI Agents & Orchestration

AI Dev Skills

AI Agents & Orchestration

βœ— Missing β€” critical gap

What is it?

Systems where LLMs plan, use tools, and execute multi-step tasks autonomously. Agents are the primary AI product paradigm of 2026 β€” moving from chatbots to autonomous workers.

Why it matters for AI PMs

Agents are the primary AI product paradigm of 2026. Understanding orchestration frameworks, tool calling, and multi-agent coordination is essential for building and shipping AI products.

The 2026 landscape

LangGraph is the standard for stateful agents. CrewAI for multi-agent teams. MCP (Model Context Protocol) is standardizing tool integration across the ecosystem.

What strong coverage looks like

Strong agent coverage signals a team that has moved from RAG to full agentic systems. They understand state management, tool orchestration, and multi-agent coordination.

Your library coverage (0 repos)

No repos in this skill area yet.

Key concepts to know

  • β€’ReAct pattern (reason + act)
  • β€’Tool calling and MCP
  • β€’Agent memory and state management
  • β€’Multi-agent coordination
  • β€’Human-in-the-loop workflows

Related tags

AI AgentsLangChainLangGraphDSPySemantic KernelHaystackAgnoCrewAIAutoGenSwarmOpenAI Agents SDKMulti-AgentMCPAutonomous Systems