🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

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Large Language Model based Multi-Agents: A Survey of Progress and Challenges (In IJCAI 2024)

Survey on LLM Agents (Published on CoLing 2025)

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Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

Paper list for Personal LLM Agents

TPAMI 2026 | This repository collects awesome survey, resource, and paper for lifelong learning LLM agents

GitHub page for "Large Language Model-Brained GUI Agents: A Survey"

Survey and paper list on efficiency-guided LLM agents (memory, tool learning, planning).

This is the reading list for the survey "A Survey on the Optimization of LLM-based Agents ". We will keep adding papers and improving the list. Any suggestions and PRs are welcome!

LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey | Awesome Human-Agent Collaboration | Human-AI Collaboration

[TMLR] LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects

Top papers related to LLM-based agent evaluation

Survey paper: From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents.

A curated list of 150+ papers and resources on Agentic Security. Based on the survey covering the transition from passive LLMs to autonomous agents, structured around three pillars: Applications (Red/Blue Teaming), Threats (Injection, Poisoning), and Defenses (Guardrails, Verification).

TMLR | This survey presents a comprehensive and structured synthesis of memory in LLMs and MLLMs, organizing the literature into a cohesive taxonomy comprising implicit, explicit, and agentic memory paradigms.

Agent skill for fast, cheap market research using LLM synthetic surveys + Semantic Similarity Rating (SSR). No API keys needed.

Training Recipes for Agentic Reinforcement Learning in LLMs: A Survey

Large Visual Language Model(LVLM), Large Language Model(LLM), Multimodal Large Language Model(MLLM), Alignment, Agent, AI System, Survey

Agentic Reinforcement Learning 101. A pragmatic course for AI/ML Engineers based on "The Landscape of Agentic Reinforcement Learning for LLMs: A Survey" https://arxiv.org/abs/2509.02547

Tutorial Materials for the paper "Evaluation & Benchmarking of LLM Agents: A Survey" published in KDD 2025 Conference.

Smart Agent Survey is an application that automates survey response generation by processing survey documents and creating multiple synthetic respondents using LLM agents.

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The official GitHub page for the survey paper "A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic System".

Agentic FinTech: A Comprehensive Survey on AI Agents in Finance in the Era of LLMs

From Prompts to Agents: A Comprehensive Survey of LLM-Driven Time Series Analysis

A constrained dialog agent framework that ensures LLM-powered chatbots only say what they are allowed to say. Designed for business use cases where accuracy matters: e-commerce, customer support, surveys, HR bots.

Paper list for "From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms".

🧠 A curated collection of survey and review papers on Large Language Models (LLMs) — covering ✍️ prompting, ⚙️ fine-tuning, 🧩 reasoning, 🔍 RAG, 🤖 agents, 🧪 evaluation, 🛡️ safety, and more. 📚 Includes 100+ categorized papers with 🔗 links for 👩‍🔬 researchers, 🧑‍💻 engineers, and 🤓 enthusiasts exploring the ever-evolving LLM landscape.