CLI tool for scaffolding, building, and deploying AI agent projects with best-practice templates, tool integrations, and framework support.
A command-line tool that sets up new AI agent projects with best practices — like create-react-app but for AI agents.
AgentStack is an open-source CLI tool that streamlines the process of creating, developing, and deploying AI agent projects. Think of it as 'create-react-app' for AI agents — it provides project scaffolding, best-practice templates, tool integration, and deployment workflows that eliminate the boilerplate of starting new agent projects.
The CLI generates complete project structures with proper directory layouts, dependency management, configuration files, testing setups, and deployment configurations. Developers choose their preferred agent framework (CrewAI, LangGraph, or custom), LLM provider, and tools during initialization, and AgentStack generates a ready-to-run project with all integrations wired up.
AgentStack's tool integration system is particularly valuable. Instead of manually researching, installing, and configuring tools for web search, code execution, or API access, developers use agentstack tools add <tool> to add pre-configured tool integrations. The CLI handles dependency installation, configuration, and provides usage examples — dramatically reducing the integration overhead that slows agent development.
The scaffolding includes testing infrastructure with example tests, evaluation harnesses, and CI/CD configurations. This encourages best practices from the start rather than bolting on testing later. Templates cover common agent patterns: research agents, customer support, content generation, data analysis, and more.
AgentStack supports deployment to multiple targets including Docker, cloud functions, and dedicated hosting platforms. The agentstack deploy command packages the agent for the target environment with appropriate configurations.
The project has gained traction because it addresses a genuine pain point: the time between deciding to build an agent and having a working, well-structured project is often hours or days of setup. AgentStack reduces this to minutes while ensuring the resulting project follows established patterns and best practices.
For teams and individual developers building multiple agent projects, AgentStack provides consistency and speed. Every project has the same structure, the same testing patterns, and the same deployment workflow, reducing cognitive overhead and making it easy for team members to work across projects.
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Generate complete agent project structures with framework selection, provider configuration, and best-practice layouts.
Use Case:
Starting a new CrewAI agent project with proper directory structure, configs, and dependencies in under a minute.
Add pre-configured tool integrations with `agentstack tools add` — handles deps, config, and provides usage examples.
Use Case:
Adding web search, code execution, and database tools to an agent project without manual configuration.
Templates for common agent patterns (research, support, content, analysis) with framework-specific best practices.
Use Case:
Scaffolding a research agent from a template and customizing it for a specific domain.
Generated projects include test setups, evaluation harnesses, and CI/CD configurations for systematic quality management.
Use Case:
Running automated tests on agent outputs before deploying changes to production.
Supports CrewAI, LangGraph, and custom frameworks with framework-specific project generation.
Use Case:
Comparing agent implementations across different frameworks using consistent project structures.
Package and deploy agents to Docker, cloud functions, or hosting platforms with target-specific configurations.
Use Case:
Deploying a tested agent to Docker with a single command for production use.
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Team standardization
Agent prototyping
Multi-project consistency
We believe in transparent reviews. Here's what AgentStack doesn't handle well:
No, AgentStack is a CLI tool for scaffolding and managing agent projects. It generates projects that use existing frameworks like CrewAI and LangGraph.
Yes, the generated project is standard Python/TypeScript code that you fully own and customize. AgentStack just provides the starting point.
AgentStack includes integrations for web search, code execution, file operations, API calls, and many more. Run `agentstack tools list` to see all available tools.
AgentStack is primarily for new projects. Existing projects can adopt some patterns manually, but the CLI is optimized for scaffolding new projects.
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