Master AgentStack with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Install AgentStack CLI using the recommended curl installer: run 'curl
proto =https
LsSf https://install.agentstack.sh | sh' in your terminal (alternatives: brew tap agentops
ai/tap && brew install agentstack, or pipx install agentstack). Verify the installation by running 'agentstack
version', then create your first project with 'agentstack init my
project' — the interactive wizard will guide you through selecting a framework and configuring your agent. Navigate into your new project directory with 'cd my
project', install dependencies with 'uv pip install', then launch your agent with 'agentstack run' to see it execute with built
in logging and observability. Extend your agent by generating new agents and tasks with 'agentstack generate agent <name>' and 'agentstack generate task <name>', and add tools with 'agentstack tools add <tool_name>' to expand capabilities.
💡 Quick Start: Follow these 8 steps in order to get up and running with AgentStack quickly.
Explore the key features that make AgentStack powerful for multi-agent builders workflows.
Yes, AgentStack is completely free and open source under the MIT license. There are no paid tiers, usage limits, or premium features. The only costs you'll incur are from the LLM API providers (OpenAI, Anthropic, etc.) that your agents call.
Yes. AgentStack is a developer tool that requires Python 3.10+ proficiency and command-line experience. It is not a low-code or no-code platform. You'll need to understand your chosen agent framework to customize the generated code.
CrewAI is best for multi-agent collaboration with role-based agents working together. LangGraph excels at complex stateful workflows with conditional branching. OpenAI Swarms is suited for lightweight agent coordination. LlamaStack targets Meta's Llama ecosystem. AgentStack's consistent scaffolding makes it easy to try multiple frameworks.
While generated code is framework-specific, AgentStack's consistent project structure and YAML-based configuration make framework migration easier than starting from scratch. You would initialize a new project with the target framework and port your agent logic and tool configurations.
LangChain is a framework; AgentStack is a scaffolding tool that can generate projects using LangGraph (LangChain's agent framework). AgentStack adds framework-agnostic tooling, project structure conventions, and built-in observability on top of the underlying framework.
As of early 2026, production deployment tooling is still under active development. AgentStack currently focuses on development scaffolding and workflow. You'll need to handle production deployment, hosting, and CI/CD configuration independently.
Now that you know how to use AgentStack, it's time to put this knowledge into practice.
Sign up and follow the tutorial steps
Check pros, cons, and user feedback
See how it stacks against alternatives
Follow our tutorial and master this powerful multi-agent builders tool in minutes.
Tutorial updated March 2026