Glossary
AI Agent
An AI agent is software that can interpret a goal, decide what to do, and take actions with tools or external systems.
Why it matters
The difference is execution. An agent does the work instead of only telling you how to do it.
How it works
An AI agent usually pairs an LLM with tool access. The model plans the steps, calls the right tools, checks the results, and adjusts as needed.
How OpenClaw uses this
OpenClaw is an open-source AI agent for messaging platforms. It uses models like Claude or GPT for reasoning and tools like Todoist, GitHub, or Google Calendar for actions.
Why managed hosting
Run an AI agent without managing infrastructure
- AI agents need persistent processes and tool access. Deploy OpenClaw in minutes without provisioning a server.
- Agent loop, integrations, and LLM connections maintained continuously. Focus on what the agent does, not how it runs.
Related terms
Large Language Model (LLM)
A large language model (LLM) is a model trained on huge amounts of text so it can understand language, follow instructions, and generate responses.
Agentic AI
Agentic AI describes systems that can take actions on a user's behalf. Instead of only answering questions, they can use tools, handle multi-step work, and adapt as they go.
Model Context Protocol (MCP)
MCP is an open standard for connecting AI models and agents to external tools, data sources, and services.
Prompt Engineering
Prompt engineering is the practice of designing prompts so a model produces more reliable and useful outputs.
Learn more
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