by Paitesanshi · AI Tool · ★ 2.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
A Survey on LLM-based Autonomous Agents Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. While previous studies in this field have achieved remarkable successes, they remain independent proposals with little effort devoted to a systematic analysis. To bridge this gap, we conduct a comprehensive survey study, focusing on the construction, application, and evaluation of LLM-based autonomous agents. In particular, we first explore the essential components of an AI agent, including a profile module, a memory module, a planning module, and an action module. We further investigate the application of LLM-based autonomous agents in the domains of natural sciences, social sciences, and engineering. Subsequently, we delve into a discussion of the evaluation strategies employed in this field, encompassing both subjective and objective methods.
| Stars | 2,885 |
| Forks | 156 |
| Category | AI Tool |
| Quality Score | 33.6043087856741/100 |
| Open Issues | 11 |
| Last Updated | 2025-02-20 |
| Created | 2023-08-03 |
| Est. Tokens | ~833k |
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LLM-Agent-Survey is an open-source ai tool by Paitesanshi with 2.9k GitHub stars.
You can find installation instructions and usage details in the LLM-Agent-Survey GitHub repository at github.com/Paitesanshi/LLM-Agent-Survey. The project has 2.9k stars and 156 forks, indicating an active community.
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