

Agentstack
Overview :
AgentStack is a command-line tool for rapidly creating AI agent projects. It is built on Python 3.10+ and supports various popular agent frameworks such as CrewAI, Autogen, and LiteLLM. It integrates multiple tools to streamline the development process. The design philosophy of AgentStack is to simplify the journey of building AI agents from scratch, allowing for quick startup and operation of agent projects without complex configurations. It also offers an interactive test runner, a live development server, and build scripts for production environments. AgentStack is open-source and follows the MIT license, making it suitable for developers eager to dive into AI agent development quickly.
Target Users :
AgentStack is designed for AI agent developers, particularly those looking to rapidly start and run their agent projects. It is ideal for developers who need a simple, no-fuss template to get started, as well as those who wish to leverage existing popular agent frameworks and tools to accelerate the development process. AgentStack provides a pre-configured environment and tools, allowing developers to focus on coding rather than environment setup.
Use Cases
Developers can create a new AI agent project in minutes using AgentStack and start development right away.
A team uses AgentStack to standardize their AI agent project structure, enhancing development efficiency.
Educators utilize AgentStack to quickly demonstrate the creation and development process of AI agents in class.
Features
Supports popular agent frameworks like CrewAI, Autogen, and LiteLLM.
Starts projects quickly without configuration, allowing focus on code development.
Provides an interactive test runner and coverage reports.
Features a live development server that warns of common errors.
Includes one-click build scripts for convenient project deployment.
Integrates AgentOps to offer observability for AI agents.
Allows effortless updates for all tools through a single dependency.
How to Use
1. Ensure that Python 3.10 or higher is installed on your local development machine.
2. Run `pip install agentstack` in the command line to install AgentStack.
3. Create a new agent project using the command `agentstack init`.
4. Follow the prompts to complete project initialization, including setting up the project directory and installing dependencies.
5. Navigate to your project directory using `cd my-agent-project`.
6. In the project directory, you can start the agent project by running `python main.py`.
7. Begin developing your agent project using the various tools and frameworks provided by AgentStack.
8. Once development is complete, use the build script to package the project and prepare for deployment to production.
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