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
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.
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.
A curated repository listing top Artificial Intelligence tools across various categories including generative AI, chatbots, search engines, and writing assistants.
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.
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.
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.
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.
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.
A curated repository of must-read papers and blogs focused on Long Context Modeling techniques and research in Large Language Models, providing comprehensive resources for advancing long sequence understanding in AI.
A comprehensive and regularly updated repository of papers, projects, and surveys focused on Embodied Artificial Intelligence, highlighting the latest research and advancements in the field.
Curated index of the LangChain and LangGraph ecosystem, covering core frameworks, official projects, integrations, starter templates, learning resources and community agent projects grouped by use case.
Companion repository for the survey The Landscape of Agentic Reinforcement Learning for LLMs, cataloguing agentic RL algorithms and papers in structured comparison tables with code links.
Curated list of open-source repositories that train LLM agents with reinforcement learning, sorted into sixteen categories and annotated with the RL framework, algorithm, reward type and environment each uses.
A curated and regularly updated collection of research papers on AI agents, covering their technologies, cognitive functions, self-improvement, multi-agent systems, and real-world applications.
Curated and weekly updated list of arXiv research papers on AI agents published from 2026 onward, grouped into multi-agent, memory and RAG, evaluation, tooling and security sections.
Curated paper list accompanying a survey on agentic reasoning for LLMs, organizing research on planning, tool use, search, memory, self-evolution, and multi-agent systems.
A curated repository of papers, projects, and resources focused on multi-modal Graphical User Interface (GUI) agents for research and development.
A curated repository of academic papers, resources, and tools focused on large language models role-playing with assigned personas, emphasizing character simulation and evaluation.
Curated list of AutoResearch use cases, the self-improving coding-agent optimization loop popularized by Karpathy, where every entry links to the actual optimization trace as well as the code.
A curated repository of resources, papers, and code focused on analyzing, detecting, and mitigating hallucination in multimodal large language models (MLLM).
A comprehensive and organized repository of academic papers focused on GUI agents, covering datasets, benchmarks, models, frameworks, and multimodal vision-language foundation models to support research and development in GUI agent technologies.
Curated list of memory tools, agent frameworks, retrieval optimizers and storage backends that give AI applications and agents persistent memory, tagged by licensing model, stack position and storage representation.
A weekly rescored, ranked catalogue of about 160 AI agent harnesses and orchestration frameworks, published as Markdown tables plus a searchable site, llms.txt, JSON and an MCP server agents can query.
Curated list of tools and resources for AI-assisted software development, covering web app builders, AI-first IDEs, coding agent CLIs, editor extensions, task management, cost monitoring and documentation tools.
A curated repository compiling academic papers and resources on the evaluation, alignment, and application of Large Language Models in Social Science, with a focus on psychology and human values.
Awesome Agent Memory is a curated reading list of memory systems, products, benchmarks and papers for LLM and multimodal agents, covering nonparametric and parametric memory, memory for agent evolution, and memory security.
Curated list of AI and machine learning resources for quantitative finance, with a substantial section on LLM-based multi-agent trading frameworks, agent research papers and supporting tools.
Release repository for MiniMax-M2.1, an open-weight large language model tuned for agentic coding, tool use and long-horizon planning, with benchmark results, deployment guides and a tool calling guide.
A curated awesome list of roughly 591 AI-driven development tools, sorted into sections for code editors, terminal and CLI agents, multi-agent orchestration, MCP servers, testing, code review and learning resources.
A comprehensive survey repository compiling research papers and insights on tool learning with large language models, focusing on benefits, implementation workflows, benchmarks, and future directions.
A curated repository collecting typical Retrieval-Augmented Generation (RAG) papers, systems, surveys, and benchmarks from 2022 to 2024 to support research and development in the RAG field.
Awesome-RAG-Reasoning is a curated paper list built on the survey Towards Agentic RAG with Deep Reasoning, collecting work that combines retrieval-augmented generation with reasoning in LLMs and agent systems.
Awesome-GUI-Agents is a curated research list of papers, datasets and benchmarks on GUI agents, organised around the perception, planning, grounding and action modules of graphical user interface automation.
XLang Paper Reading is a curated collection of research papers focused on building and evaluating language model agents through executable language grounding, enabling natural language instructions to be transformed into executable actions in real-world environments.
A comprehensive survey and repository of research on LLM-powered GUI agents for phone automation, covering frameworks, methods, datasets, and benchmarks.
Curated resource list for OpenClaw, the self-hosted open-source personal AI agent, collecting official docs, installation guides, skills, integrations, tutorials, community projects and comparisons.