How AI agents actually work.

Agents that plan, use tools and finish the job. What they are, how MCP and computer use fit in, and where they still need a human.

Guides
14
Reading
106 min
Library
108
ai agents

Multi-agent systems explained: when one AI agent is not enough

Multi-agent systems split one job across several AI agents. When that helps, when it backfires, what real systems do, and how to design a simple one.

7 min read
ai agents

AI agent memory explained: how agents remember, and what they forget

AI agent memory in plain English: the context window, notes files and vector search, how ChatGPT, Claude and Gemini remember you, and what to keep out.

7 min read
ai agents

10 agentic workflows you can run today

Ten copyable agentic workflows, from inbox triage to a bug-fix loop. Each has a trigger, the tools it needs, a ready prompt and the human check.

8 min read
ai agents

A2A protocol explained: how AI agents talk to each other

The A2A protocol lets AI agents from different vendors find each other and hand off work. How it works, who runs it, how it differs from MCP, and who uses it.

7 min read
ai agents

AI browsers in 2026: what agentic browsing can and cannot do

Which AI browsers and browser agents exist in September 2026, which shut down, what they do well, the prompt injection risk, and the settings to use.

7 min read
ai agents

How to build your first AI agent in about 100 lines of code

Build an AI agent from scratch with Anthropic’s Python SDK: tools, the loop, stop conditions and guardrails, tested offline with a fake model first.

9 min read
ai agents

How to build an MCP server: a 30-minute tutorial

Build a working MCP server with the official TypeScript SDK and the 2026-07-28 spec: one tool, one resource, tested with the Inspector and Claude Code.

8 min read
ai agents

What is an AI agent? A plain-English guide for 2026

An AI agent is a model that uses tools in a loop to reach a goal. How the loop works, how much freedom to give one, what agents do well today, and how to start.

8 min read
ai agents

AI agent vs chatbot: what changes when AI can act

A chatbot answers and an AI agent acts. See the two side by side, when each is the right tool, how cost and risk differ, and three requests handled both ways.

8 min read
ai agents

Computer use AI: how agents click, type and browse for you

Computer use AI works apps by looking at the screen and using a mouse and keyboard. How it works, where it helps, the 2026 products and scores, and safety tips.

8 min read
ai agents

What is MCP? The Model Context Protocol explained simply

MCP is the open standard that connects AI apps to your tools and data. How it works, a config you can copy, who runs it, and what to check before you install.

8 min read
ai agents

The best MCP servers to install first, sorted by job

Eleven official, maintained MCP servers for files, GitHub, browsers, docs, databases, design, issues and errors, plus how to vet any server before you add it.

7 min read
ai agents

Agent skills explained: teach an AI agent a job once

Agent skills are folders that teach an AI agent a task, loaded only when needed. How SKILL.md works, a full example, which tools support it, and safety.

7 min read
ai agents

Context engineering: the skill that replaced prompt tricks

Context engineering means choosing what an AI model sees at each step. How to budget the context window, keep agents on track and avoid context rot.

7 min read

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AI agents: guides and explainers · Cyborb