Last updated: February 2026
What Is LLM (Large Language Model)?
A Large Language Model (LLM) is an AI system trained on vast amounts of text data that can understand and generate human language. LLMs like GPT-4, Claude, Gemini, and Llama use transformer architecture with billions of parameters to process context and generate responses. They form the "brain" of AI assistants and agents, enabling natural language understanding, reasoning, and generation.
How It Relates to EasyClawd
OpenClaw (formerly Clawdbot/Moltbot) uses LLMs as its reasoning engine. When you send a message to your Telegram bot, the LLM understands your intent, plans the steps needed, and generates the code or actions to execute. EasyClawd uses Moonshot/Kimi v2.5 as its LLM, accessed through a secure proxy. The LLM enables OpenClaw to understand natural language, write code, reason about problems, and communicate results clearly.
LLMs vs AI Agents
An LLM by itself can only generate text. An AI agent (like OpenClaw) wraps an LLM with tools: code execution, file access, web browsing, and messaging integration. The LLM provides the intelligence. The agent framework provides the ability to take action. Together, they create an autonomous system.
Frequently Asked Questions
What LLM does OpenClaw use?
OpenClaw on EasyClawd uses Moonshot/Kimi v2.5. The framework is model-agnostic and supports various LLMs for self-hosted deployments.
What is the difference between an LLM and an AI agent?
An LLM generates text. An AI agent (like OpenClaw) uses an LLM as its brain but adds tools for code execution, file management, web browsing, and more. The agent takes action; the LLM provides intelligence.
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