Skeernir provides a modular skeleton for building AI agents capable of controlling games and system processes. It offers templates, APIs, and example implementations to rapidly prototype puppet master–style agents. Developers can customize agent logic, integrate with different environments, and deploy on various platforms with minimal configuration.
AI Platforms & Frameworks
Development Environment
#AI Agents
#Game Automation
#process orchestration
#Open Source Framework
#custom decision-making
#cross-platform development
#modular architecture
#Machine Learning Integration
#testing AI agents
#debugging tools
#logging support
#Rapid Prototyping
#puppet master control
#sample modules
#agent lifecycle management
#Windows compatibility
#Linux Support
#macOS integration
#Automated Workflows
...
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Skeernir
Skeernir provides a modular skeleton for building AI agents capable of controlling games and system processes. It offers templates, APIs, and example implementations to rapidly prototype puppet master–style agents. Developers can customize agent logic, integrate with different environments, and deploy on various platforms with minimal configuration.
AI Platforms & Frameworks
Development Environment
#AI Agents
#Game Automation
#process orchestration
#Open Source Framework
#custom decision-making
#cross-platform development
#modular architecture
#Machine Learning Integration
#testing AI agents
#debugging tools
#logging support
#Rapid Prototyping
#puppet master control
#sample modules
#agent lifecycle management
#Windows compatibility
#Linux Support
#macOS integration
#Automated Workflows
...
Featured
What is Skeernir?
Skeernir is an open-source AI agent framework designed to accelerate the development of puppet master agents for game automation and process orchestration. The project includes a base template, core APIs, and sample modules that demonstrate how to connect agent logic to target environments, whether simulating gameplay or controlling operating system tasks. Its extensible architecture allows users to implement custom decision-making strategies, plug in machine learning models, and manage agent lifecycles across Windows, Linux, and macOS. With built-in logging and configuration support, Skeernir streamlines testing, debugging, and deployment of autonomous AI agents.
Who will use Skeernir?
- AI researchers and developers
- Game developers
- Automation engineers
- Robotics hobbyists
- Academic educators
How to use the Skeernir?
- Step1: Clone the Skeernir repository from GitHub.
- Step2: Install dependencies via pip or your package manager.
- Step3: Configure the environment settings in config.yaml.
- Step4: Review and modify the sample agent code in examples/.
- Step5: Run the agent with `python run_agent.py --config config.yaml`.
- Step6: Monitor logs and refine decision logic.
- Step7: Integrate custom ML models or external APIs.
- Step8: Deploy on target platform and schedule agent tasks.
Platform
- mac
- windows
- linux
Skeernir's Core Features & Benefits
The Core Features
- Modular skeleton for agent development
- Puppet master–style control APIs
- Sample modules for game and process control
- Cross-platform compatibility
- Configurable logging and lifecycle management
The Benefits
- Rapid prototyping of AI agents
- Flexible, extensible architecture
- Easy integration of custom logic
- Supports multiple target environments
- Streamlined testing and deployment
Skeernir's Main Use Cases & Applications
- Automated gameplay bots for testing and benchmarking
- System process automation and monitoring
- Robotics control and simulation
- Academic projects in AI and agent design
- Rapid prototyping of decision-making algorithms
FAQs of Skeernir
Skeernir Company Information
- itelnov
Skeernir Reviews
5/5
Skeernir's Main Competitors and alternatives?
- OpenAI Gym
- Unity ML-Agents
- Stable Baselines
- Ray RLlib
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