Build, configure, and deploy AI agents with the Motus framework.
npx skills add https://github.com/lithos-ai/motus --skill motus
Please help me install this Agent Skill. Skill: motus Source: https://github.com/lithos-ai/motus/tree/main/plugins/motus/skills/motus Command: npx skills add https://github.com/lithos-ai/motus --skill motus
Motus provides a unified framework to build, configure, and deploy AI agents, reducing setup time and operational friction.
Define your agent with tools and memory, configure system prompts and guardrails, then deploy to cloud or run locally using the Motus CLI.
High-intent search queries and answers about installing and using this skill.
To build and deploy AI agents with memory and guardrails, use the Motus framework to define tools, configure system prompts, and apply safety guardrails, then deploy via the Motus CLI to local or cloud environments.
The best way to serve AI agents locally or in the cloud is using a unified framework with automatic model proxy support for credential handling, allowing seamless local hosting and cloud deployment through a single CLI command.
Yes, you can build conversational multi-tool workflows using OpenAI, Anthropic, and Google SDKs. The framework provides extensible tooling and memory management across these providers to ensure scalable production patterns.
Yes, this agent framework supports MCP integration and sandbox environments. It provides a rich tool ecosystem designed specifically for secure, production-ready AI agent workflows with extensible tooling capabilities.
You need guardrails and memory management for production AI agents to enforce safe, scalable operational patterns. Guardrails prevent unsafe actions while memory management maintains conversational context across complex multi-tool workflows.
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