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🚀 AgenticFrontier: Multi-Agent Systems Research Hub

Welcome to AgenticFrontier, a repository dedicated to exploring the frontier of multi-agent systems, artificial intelligence, and distributed expertise. Just like Star Trek’s mission to explore the unknown, this repository serves as a collaborative space for pushing the boundaries of AI and agent-based research.

Mission Statement

This repository is designed for researchers, developers, and enthusiasts in the field of multi-agent systems and artificial intelligence. Our goal is to provide a resource hub for:

• Experimenting with and testing new agents and agent architectures.
• Sharing open-source tools and notebooks to foster collaborative development.
• Curating and categorizing the latest scientific research on agent systems.

Repository Contents

1. 🧠 Agent Experiments

Explore a collection of notebooks and codebases where we experiment with various types of agents. Whether it's a reinforcement learning-based agent or a new approach to multi-agent collaboration, you'll find the latest prototypes and tests here.

2. 📚 Latest Research Papers

We’ve curated a selection of the most cutting-edge scientific papers in the following categories:

• Architecture Agents: Papers focusing on how agent structures and frameworks are designed, including hierarchical agents, modular agents, and emergent systems.
• Foundation Models & Large Language Models (LLMs): A directory of papers examining how large-scale models, like GPT or BERT, serve as foundational agents or interact with multi-agent systems.
• Graph & RAG Systems (Retrieval-Augmented Generation): Research into how graph structures and RAG systems are being integrated into agentic systems, enabling more efficient retrieval and enhanced decision-making.
• Agent Definitions & Theories: A collection of philosophical and theoretical papers that define what an agent is, how they are classified, and new paradigms in agent intelligence.
• Agent Tools & Frameworks: Exploration of the latest tools for building, managing, and testing multi-agent systems, including libraries, simulators, and benchmarking frameworks.

Each paper is annotated with a summary, relevance, and links to both the official publication and any open-source implementations (where available).

3. ⚙️ Open-Source Tools

This section hosts various open-source libraries and utilities designed for working with multi-agent systems. You’ll find frameworks for:

• Agent-based simulations
• Multi-agent reinforcement learning
• Communication and negotiation between agents
• Graph-based agent tools
• Model-driven agent development tools

4. 📁 Directory Structure

.
├── experiments/
│   ├── architecture_agents/
│   ├── LLM_KG_lab/
│   ├── graph_RAG_systems/
│   ├── agent_theories/
│   ├── agent_tools/
│   └── prompty_agent/
├── notebooks/
│   ├── architecture_agents/
│   ├── foundation_models/
│   ├── graph_RAG_systems/
│   ├── agent_theories/
│   ├── agent_tools/
│   ├── data_analysis/
│   ├── model_training/
│   └── visualizations/
├── papers-agentic/
│   ├── architecture_agents/
│   ├── foundation_models/
│   ├── graph_RAG_systems/
│   ├── agent_theories/
│   └── agent_tools/
└── paper-societal-impact/
    ├── ai-on-work/
    ├── finance/
    ├── healthcare/
    └── human-interaction/

• /experiments/: Code and notebooks for testing agentic system prototypes and architectures.
• /papers-agentic/: A well-organized collection of research papers, categorized by topic.
• /notebooks/: Interactive Jupyter notebooks for exploring specific research areas or implementing multi-agent scenarios.
• /paper-societal-impact/: Research papers on the societal impact of AI, categorized by domain.

Contributions

We welcome contributions from researchers and developers worldwide! If you’ve read a new paper that you think belongs in our collection, or if you want to contribute new agent experiments or tools, feel free to open a pull request. Follow the contribution guidelines outlined in CONTRIBUTING.md.

Getting Started

1. Clone the repository:

   git clone https://github.com/Qredence/AgenticFrontier.git

2. Explore experiments: Browse the experiments/ folder to start exploring pre-built agents and run your own experiments.

3. Explore research papers: Navigate to the papers/ folder to dive into the latest research.

License

This repository is fully open-source under the MIT License. Please feel free to use, modify, and share any content within.

Contact

Feel free to reach out if you have questions or suggestions:

• Email: [email protected]
• Twitter: @agenticfleet

Live Long and Prosper in the World of Agentic Systems!

Let me know if you'd like any further adjustments!