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
...
Promote this Tool
Update this Tool
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
You may also like:
Gobii lets teams create 24/7 autonomous digital workers to automate web research and routine tasks.
Salesloft is an AI-driven platform enhancing sales engagement and workflow automation.
Autogpt is a Rust library for building autonomous AI agents that interact with the OpenAI API to complete multi-step tasks
Angular is a web development framework for building modern, scalable applications.
An AI-driven RAG pipeline builder that ingests documents, generates embeddings, and provides real-time Q&A through customizable chat interfaces.
BrandCrowd offers customizable logos, business cards, and social media designs with thousands of templates.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Skywork AI is an innovative tool to enhance productivity using AI.
Five9 AI Agents enhance customer interactions with intelligent automation.
Mosaic AI Agent Framework enhances AI capabilities with data retrieval and advanced generation techniques.
Windsurf AI Agent helps optimize windsurfing conditions and gear recommendations.
Glean is an AI assistant platform for enterprise search and knowledge discovery.
NVIDIA Cosmos empowers AI developers with advanced tools for data processing and model training.
AI-driven customer service platform offering efficient communication solutions.
A framework that dynamically routes requests across multiple LLMs and uses GraphQL to handle composite prompts efficiently.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Letta is an AI agent that handles email responses efficiently and accurately.
Cody AI helps developers write, review, and understand code efficiently.
A solution for building customizable AI agents with LangChain on AWS Bedrock, leveraging foundation models and custom tools.
scenario-go is a Go SDK for defining complex LLM-driven conversational workflows, managing prompts, context, and multi-step AI tasks.
A ROS-based framework for multi-robot collaboration enabling autonomous task allocation, planning, and coordinated mission execution in teams.
An open-source visual IDE enabling AI engineers to build, test, and deploy agentic workflows 10x faster.
LangGraph Learn offers an interactive GUI to design and execute graph-based AI agent workflows, visualizing language model chains.
AIDE provides AI-powered code generation, debugging, documentation and package management within an integrated web IDE.
A methodology offering twelve best practices to design, configure, and deploy scalable, maintainable AI Agents.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.
SARL is an agent-oriented programming language and runtime providing event-driven behaviors and environment simulation for multi-agent systems.
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
Provides a FastAPI backend for visual graph-based orchestration and execution of language model workflows in LangGraph GUI.
CodeBeaver is an AI agent that assists in coding and debugging tasks efficiently.
AveHR is an AI-driven human resources agent for streamlining HR tasks.
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
An autonomous AI agent that writes, tests, and refactors code projects using LLMs with iterative test-driven development.