Agentuity CLI: Fastest & Easiest Way to Create AI Agents! MCP + Toolkit + Agent UI!


Summary

The video introduces AI agents that can automate tasks from the command line with ease, allowing for effortless building, deployment, and running at scale without manual intervention. These agents can be launched onto fully agentic infrastructure for instant autoscaling and connection to various channels like APIs and web. With support for Python, Node.js, and Bun, users can quickly create complex workflows and deploy agents with a single command. The framework enables the creation of custom agents with any tool, providing ready-to-go agents for quick deployment and instructions for easy installation and setup in different terminals. By utilizing templates and project configurations, users can efficiently deploy, test, and manage AI agents for automating tasks with minimal effort.


Introduction to AI Agents

Introducing AI agents that can automate tasks directly from the command line with ease.

Building and Deploying AI Agents

Effortlessly building, deploying, and running AI agents at scale without worrying about the commands.

Launching Agents onto Agentic Infrastructure

Ability to launch agents onto fully agentic infrastructure for instant autoscaling and connection to multiple channels like APIs and web.

Supported Languages and Workflows

Support for Python, Node.js, and Bun, enabling fast creation of complex workflows.

Deployment with Single Command

Providing details, descriptions, and authentication for deploying agents with a single command.

Integration with Versel and Other Platforms

Ability to work with Versel, Pyantic, Mastra, and deploy easily using commands.

Agentuity Framework

Breaking down the framework for creating agents with any tool, allowing custom code to communicate and work efficiently.

Ready-to-Go Setups

Ready-to-go agents for quick deployment, aiding in building the next AI agent effortlessly.

Installing Agentuity

Instructions for installing and setting up Agentuity within different terminals like WSL, Mac OS, and Linux using Homebrew.

Creating Project with Agentuity

Guidance on creating a project with Agentuity, choosing runtime environments, and utilizing templates for different projects.

Configuring Agents

Configuring agents, providing project names, descriptions, and necessary details for effective deployment.

Running Agents in Development Mode

Running agents in development mode for instant feedback and testing functionality with logs.

Deployment and Visualization

Deploying agents easily, visualizing projects within Agentuity, accessing log storage, AI gateway, and deployment settings.

Closing Remarks

Support options, additional features, and the power of AI agents to automate tasks efficiently.

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