AI agents
How AI agents work, how to install and use them, what they cost and where they fail, with comparisons based on our registry data.
13 articles
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Open source or proprietary AI agent: how to decide
An open source AI agent gives control and free hosting, a proprietary one gives simplicity and support. Criteria, costs and risks to help you decide.
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AI agent vs. chatbot: what's the difference?
A chatbot answers messages. An AI agent takes action, choosing tools, working through steps, and checking results. Compare how they work, their costs, and risks.
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Autonomous AI agents: how much should you let them do?
An autonomous AI agent can prepare, organize, and check work within clear limits. Learn which tasks to delegate and which actions need your explicit approval.
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AI agent memory: how agents remember (and forget)
AI agents retain context through conversation history, summaries, and external memory. Learn what persists, what gets lost, and how to check what they recall.
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AI agent frameworks: LangGraph, CrewAI, AutoGen—which should you learn?
Choose an AI agent framework for your project: LangGraph for control, CrewAI for teamwork, and guidance on AutoGen's successor, reliability, and learning.
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Build your first AI agent: 5 methods, from no-code to code
Build an AI agent around a focused task, connect a model and a tool, then test its actions. Compare five methods suited to different levels of coding experience.
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ChatGPT agent: what it actually does
ChatGPT agent has given way to ChatGPT Work. Learn what tasks it can handle, where its browser falls short, which costs to check, and what to review before use.
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AI browser agents: when AI uses the web for you
An AI browser agent clicks and fills out forms on your behalf. Learn how it works, where it can fail, and which checks to keep before delegating web tasks.
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Coding agents: how Claude Code, Codex, and Cursor actually work
AI coding agents read repositories, edit files, and run tests. Learn how they work, where they fall short, and which checks to keep before putting them to use.
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Hermes Agent: installation, costs, and limitations
Install Hermes Agent, connect a model, and run a controlled first task. Follow the setup steps, estimate actual costs, and limit access to sensitive data.
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Install OpenClaw step by step (Windows, Mac, Linux)
Install OpenClaw on Windows, Mac, or Linux with official commands, connect your model, and check that everything works before granting access to your data.
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Agentic AI: what agents can actually do in 2026
Agentic AI uses tools to complete tasks, but its autonomy needs boundaries. Explore its capabilities, limits, costs, and how to decide which tasks to delegate.
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AI agents: definition, how they work, and practical examples
An AI agent uses tools to complete tasks across multiple steps. Learn how agents work, where they help, what they cost, and which limits and risks matter.