Everything about agents
22 connected nodes across dictionary, workflows, comparisons, prompts, tool stacks and use cases.
Tool Calling
The model-to-system interface that lets an LLM trigger external actions.
Agent Memory
Persistent context that lets agents retain preferences, decisions, and prior work.
MCP (Model Context Protocol)
Open protocol that lets LLMs connect to tools, data sources and apps through a standard interface.
Agentic RAG
RAG where an agent decides what to retrieve, when, and from which source — instead of a single static query.
Agentic Workflow
A workflow where an LLM decides the next step instead of a hard-coded path.
Tool Use
An LLM invoking external functions to act beyond text generation.
Long-Term Memory
Persistent state an agent carries between sessions.
Episodic Memory
Session-scoped memory of specific past events.
Planner-Executor Pattern
Splitting agents into a planner LLM and a smaller executor LLM.
Reflection
An agent critiquing and revising its own output before returning.
Function Calling
The API mechanism that lets a model request a tool call.
MCP (Model Context Protocol)
Open standard letting AI clients call external tools, data and prompts.
Computer-Use Agent
An AI agent that controls a desktop or browser via screenshots and clicks.
Deep Research (AI)
Long-running AI research task that produces a cited multi-page report.
Claude Code
Anthropic's terminal-native coding agent that edits real codebases.
OpenAI vs Anthropic for Agents
Which provider builds better production agents in 2026.
CrewAI vs AutoGen vs LangGraph
Three approaches to multi-agent orchestration.
Claude Code vs Cursor: Which Coding Agent to Use
Terminal-native agent vs IDE-native pair programmer — different jobs, both worth using.
Build an MCP Server for Your Internal Data
Expose one internal data source to every AI client via the Model Context Protocol.
Automate Repetitive Ops Work With a Computer-Use Agent
Replace 5 hours/week of tab-switching with a supervised computer-use agent.