AGI-Edgerunners/LLM-Agents-Papers
A curated collection of academic papers covering LLM-based agents across planning, memory, tool usage, multi-agent systems, and domain applications.
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This repository catalogs research papers on large language model agents organized by topic areas including planning, memory mechanisms, tool usage, multi-agent systems, training methods, and domain applications in science, finance, medicine, and software engineering. It serves as a comprehensive survey resource for researchers studying autonomous AI agent systems and related techniques like RAG, reflection, and workflow automation.
Frequently asked
- What is AGI-Edgerunners/LLM-Agents-Papers?
- A curated collection of academic papers covering LLM-based agents across planning, memory, tool usage, multi-agent systems, and domain applications.
- Is LLM-Agents-Papers open source?
- Yes — AGI-Edgerunners/LLM-Agents-Papers is an open-source project tracked on heatdrop.
- What language is LLM-Agents-Papers written in?
- AGI-Edgerunners/LLM-Agents-Papers is primarily written in Python.
- How popular is LLM-Agents-Papers?
- AGI-Edgerunners/LLM-Agents-Papers has 2.3k stars on GitHub.
- Where can I find LLM-Agents-Papers?
- AGI-Edgerunners/LLM-Agents-Papers is on GitHub at https://github.com/AGI-Edgerunners/LLM-Agents-Papers.