AI AGENTS
AgentCrew
by Saigon Technology
Overview
Multi-agent AI assistant framework for coding, research, and automation with desktop, terminal, API, and headless job-runner modes.
Details
AgentCrew is a Saigon Technology multi-agent AI assistant framework described by its official site, docs, GitHub repository, and PyPI package page as supporting coding, research, and automation workflows. The supplied sources describe multiple ways to run or integrate it, including desktop, terminal, API, and headless job-runner modes. Repository documentation covers provider setup, agent definitions, MCP server configuration, and advanced AgentCrew settings, while the examples directory provides ready-to-use agent configurations for creating and running agent teams.
When to Use
Use AgentCrew when you need a configurable multi-agent assistant framework for coding research or automation workflows. Evaluate it when you want the same project available through desktop terminal API or headless job-runner modes. Use it when your workflow needs documented provider setup agent definitions MCP server configuration and reusable example agent configurations.
Getting Started
- Review the product overview at https://agentcrew.dev/.
- Follow the quick-start documentation at https://agentcrew.sh/docs/quick-start/.
- Use the PyPI page at https://pypi.org/project/agentcrew-ai/ for installation material
- provider API key prerequisites
- Docker usage
- and the source repository link.
- Read configuration guidance in https://github.com/saigontechnology/AgentCrew/blob/main/CONFIGURATION.md.
- Explore ready-to-use agent configurations in https://github.com/saigontechnology/AgentCrew/tree/main/examples/agents.
Key Features
- •Multi-agent AI assistant framework for coding
- •research
- •and automation.
- •Desktop
- •terminal
- •API
- •and headless job-runner modes described in the supplied official sources.
- •Configuration documentation for provider setup
- •agent definitions
- •MCP server configuration
- •and advanced AgentCrew settings.
- •Official GitHub examples directory with ready-to-use agent configurations for creating and running agent teams.
- •PyPI package page with installation material
- •provider API key prerequisites
- •Docker usage
- •and source repository link.
Capabilities
- •multi-agent workflows
- •coding assistance
- •research assistance
- •automation workflows
- •agent configuration
- •MCP server configuration
- •headless job running
Last updated Jun 10, 2026