elder-plinius/CL4R1T4S
CL4R1T4S is a project that provides transparency by collecting and sharing the hidden system prompts and guidelines used by major AI models and agents to promote trust and understanding of AI behavior.
Awesome AI Agents › LLM Research Repositories
thinkwee/AgentsMeetRL
AgentsMeetRL is a curated list of open-source repositories for training large language model agents with reinforcement learning. A project qualifies as an agent project if it involves at least multi-turn interaction or tool use, which means tool-integrated reasoning work is included. The list is organised into sixteen categories, each with an entry count: general-purpose RL training frameworks that others build on, general multi-task agent systems, search and retrieval-augmented reasoning agents, agents that drive web browsers and mobile or desktop interfaces, tool-use agents that call external APIs, code executors and Model Context Protocol servers, software engineering and code generation agents, tool-integrated or multi-turn reasoning agents, multi-agent collaboration and credit assignment, memory management and retrieval, embodied agents in physical simulators, domain-specific agents such as medical or operating system tuning, process and outcome reward models with training methodology, safety alignment and adversarial red-teaming, vision-language model agents, self-evolving agents, and benchmarks, gyms and sandbox environments. Rather than only listing links, the tables record the technical choices behind each project: which reinforcement learning framework it depends on, which algorithm it uses, what environment it trains in, and the type of reward signal, enumerated as external verifier such as a compiler or math solver, rule-based scoring, model-based reward from a trained verifier or reward model, or custom. The maintainers state that entries were assembled by analysing repository code with LLM coding agents and then reviewed manually, that each newly added entry was verified by opening the repository and confirming real training or environment code exists, and that papers whose code has not been released are deliberately excluded and tracked separately. Monthly update notes document additions, reclassifications and taxonomy changes, and an interactive dashboard site accompanies the list.
https://github.com/thinkwee/AgentsMeetRL
Also in LLM Research Repositories
WooooDyy/LLM-Agent-Paper-List
A comprehensive repository compiling essential academic papers and a detailed survey on the rise, framework, applications, and societal aspects of Large Language Model based AI agents.
mahseema/awesome-ai-tools
A curated repository listing top Artificial Intelligence tools across various categories including generative AI, chatbots, search engines, and writing assistants.
filipecalegario/awesome-generative-ai
A curated and comprehensive list of Generative AI tools, projects, models, artworks, and educational resources, regularly updated to reflect the latest advancements in the field.
DSXiangLi/DecryptPrompt
DecryptPrompt is a comprehensive resource hub that summarizes prompt and LLM research papers, open-source datasets and models, and AIGC applications, providing in-depth tutorials and analyses for AI researchers and practitioners.
zjunlp/LLMAgentPapers
LLMAgentPapers is a curated repository of essential academic papers on Large Language Model agents, covering topics from agent personality to multi-agent systems and applications.
luo-junyu/Awesome-Agent-Papers
A comprehensive and up-to-date research collection of papers on Large Language Model (LLM) agents, covering methodologies, applications, challenges, and key categories such as construction, collaboration, evolution, tools, security, benchmarks, and real-world applications.
webfuse-com/awesome-autoresearch
Curated index of autonomous improvement loops and research-agent systems descended from karpathy/autoresearch, grouped into general-purpose forks, research systems, platform ports, domain adaptations and benchmarks.