Editing Ai Agents (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Agent''' — An AI system that autonomously takes actions to achieve a goal, typically using tools and iterating over multiple steps.
* '''Tool''' — A function or API the agent can call to take actions in the world (web search, code execution, file read/write, database query).
* '''Tool calling''' — The ability of an LLM to output structured function call specifications that an orchestrator executes.
* '''Reasoning loop''' — The iterative cycle: think → act → observe → repeat until task complete.
* '''ReAct (Reason + Act)''' — A prompting framework where the agent alternates between reasoning traces (Thought:) and tool calls (Action:), then processes observations (Observation:).
* '''Plan-and-Execute''' — An agent pattern where a planner LLM creates a full plan, then an executor LLM carries out each step sequentially.
* '''Reflection''' — The agent evaluating its own outputs and reasoning, identifying errors, and self-correcting.
* '''Memory''' — Mechanisms that allow an agent to retain information across steps: in-context (short-term), external store (long-term), episodic (past interaction history).
* '''Orchestrator''' — The controlling system that manages agent loops, tool execution, and multi-agent coordination.
* '''Multi-agent system''' — Multiple AI agents collaborating, each with specialized roles, to complete complex tasks.
* '''Sandbox''' — An isolated execution environment for running code generated by agents safely, preventing system damage.
* '''Human-in-the-loop''' — A design pattern where humans approve, correct, or guide agent actions at critical decision points.
* '''LangGraph''' — A framework for building stateful, multi-agent workflows as directed graphs.
* '''AutoGen''' — Microsoft's multi-agent conversation framework.
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