Agentic AI

What is Agentic AI?

Agentic AI describes systems capable of autonomous decision-making and goal-oriented action. These AI agents can plan, reason, execute complex workflows, and interact with tools, data, and even other agents—often with minimal or no human input.

How Agentic AI Works

  • LLMs serve as reasoning engines for agents
  • Planning modules deconstruct goals into steps
  • Tools and APIs are connected via tool use interfaces
  • Memory enables context retention and learning
  • Orchestration frameworks coordinate multi-agent workflows

Benefits of Agentic AI

  • Enables true AI autonomy in operations
  • Boosts productivity across technical and research tasks
  • Improves adaptability in changing environments
  • Enables scalable collaboration between agents

Examples & Use Cases

  • DevOps agents managing deployments and alerts
  • Code-writing agents collaborating on software tasks
  • Research agents conducting autonomous investigations
  • Digital assistants automating multi-step business operations

Tools & Platforms

  • AutoGen (Microsoft)
  • CrewAI and LangGraph
  • Devika and OpenDevin
  • AgentOps and MetaGPT
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