Repository History
6 repositories tagged with research
Awesome-Self-Evolving-Agents: A Curated List for AI Agent Research
Awesome-Self-Evolving-Agents is a comprehensive GitHub repository offering a curated collection of resources on self-evolving agents. It includes a systematic survey, research papers, benchmarks, and open-source projects, providing valuable insights into this rapidly advancing field of AI. This repository serves as an essential guide for researchers and developers exploring model-centric, environment-centric, and co-evolutionary approaches.
Awesome-Self-Improving-Agents: A Curated List for Agentic AI Self-Improvement
Awesome-Self-Improving-Agents is a comprehensive GitHub repository featuring a curated and continuously updated list of resources on self-improvement in foundation model-based agentic systems. It serves as a central hub for researchers and practitioners, offering papers, benchmarks, and various media. This resource is essential for anyone exploring the cutting edge of self-evolving AI agents.
AgentSkills: A Curated Collection for LLM Agent Skills and Resources
AgentSkills is an extensive curated collection of resources, papers, tools, projects, and frameworks focused on building and deploying skills for large language models. This repository serves as a central hub for understanding the LLM skills ecosystem, from Anthropic's official systems to academic research and open-source agent frameworks. It is an invaluable resource for anyone exploring the rapidly evolving field of AI agents.
Darkus: An Onion Websites Searcher for Deep and Dark Web Exploration
Darkus is a powerful Python-based tool designed to search onion websites using various deep/dark web search engines. It provides a command-line interface to find specific keywords and retrieve relevant links. This project is intended for research and educational purposes only, emphasizing responsible usage.
RecDebiasing: A Comprehensive Collection of Recommendation Debiasing Methods
RecDebiasing is a valuable GitHub repository that curates a wide array of debiasing methods for recommendation systems. It compiles recent research papers, relevant datasets, and associated codebases, offering a centralized resource for understanding and addressing various biases. This collection is essential for researchers and practitioners focused on building more fair and accurate recommender systems.
Biomni: A General-Purpose Biomedical AI Agent for Research
Biomni is a general-purpose biomedical AI agent designed to autonomously execute a wide range of research tasks across diverse biomedical subfields. It integrates cutting-edge large language model reasoning with retrieval-augmented planning and code-based execution. This powerful tool helps scientists significantly enhance research productivity and generate testable hypotheses.