Build and deploy multi-agent systems with an integrated AgentOS runtime.
npx skills add https://github.com/OutlineDriven/odin-codex-plugin --skill agno-outlinedriven
Please help me install this Agent Skill. Skill: agno Source: https://github.com/OutlineDriven/odin-codex-plugin/tree/main/skills/agno Command: npx skills add https://github.com/OutlineDriven/odin-codex-plugin --skill agno-outlinedriven
Agno provides a production-grade framework to design, deploy, and manage multi-agent systems with a fast AgentOS runtime and built-in MCP support, enabling secure, on-premises operation.
Create a minimal Agent with a model, wrap it in AgentOS, and run it locally.
High-intent search queries and answers about installing and using this skill.
You orchestrate multi-agent workflows by using an AgentOS runtime to host agents, teams, and workflows with integrated memory, knowledge bases, and persistence for long-running conversations and data-driven tasks.
An AgentOS runtime is a production-grade framework environment for designing, deploying, and managing multi-agent systems with streaming capabilities, built-in MCP support, and secure on-premises operation.
Yes, you can connect AI agents to external systems using MCP integration, which supports stdio, SSE, and Streamable HTTP transports for secure, on-premises enterprise integrations.
Yes, the framework supports human-in-the-loop processes, enabling production-ready AI agents and teams to handle scenarios requiring manual intervention alongside automated enterprise workflows.
The best way to deploy multi-agent systems on-premises is using modular tooling with robust guards and multiple transport supports like stdio, SSE, and Streamable HTTP within an AgentOS runtime.
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