The AI-Agents project is a growing collection of AI agents designed for experimentation, tooling, and real-world automation. The primary featured project is MarketResearchCrew, powered by crewAI framework, which enables multi-agent AI systems to collaborate on complex tasks. The repository includes various specialized agents such as gaming RL agents, cybersecurity/digital forensics crews, and research agents. The main implementation uses a configuration-driven approach where agents and tasks are defined in YAML files, allowing easy customization and deployment of collaborative AI systems.
- Multi-agent AI system framework powered by crewAI for collaborative task execution
- Pre-configured market research crew with specialized agent roles and capabilities
- Configuration-driven architecture using agents.yaml and tasks.yaml for easy customization
- Support for various specialized AI agents (gaming RL, cybersecurity, research, digital forensics)
- Automated report generation based on agent collaboration and analysis
- Dependency management using UV package manager for seamless setup
- Environment-based configuration with OpenAI API integration
- Python (>=3.10 <3.14)
- crewAI framework for multi-agent orchestration
- OpenAI API for LLM capabilities
- UV package manager for dependency management
- YAML configuration files for agent and task definition
- GitHub Actions for CI/CD workflows
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