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An overview of AI agents and agentic AI, defining them as systems that utilise large language models (LLMs) to perform complex, autonomous tasks on behalf of human users. The LangChain source proposes a spectrum of capabilities, suggesting that systems can be described as having varying degrees of "agentic" behaviour, which is useful for designing and evaluating LLM applications. It argues that more agentic systems necessitate new tooling and infrastructure for building, running, and monitoring. Conversely, the Cloudflare source defines an AI agent as software that can operate outside of a specific prompt context and take action in the real world via external integrations like APIs and databases. It also distinguishes between agentic AI (the field of development) and AI agents (the programs themselves), detailing how they work through LLMs, memory, and a data flywheel for continuous learning. #aiagent #agenticia #llms #langchain #cloudflareai #llmorchestration #llmframewrok